Explore tutorials organized by topics
A comprehensive step-by-step guide to becoming an AI Engineer in India. Learn required skills, tools, project ideas, salary packages, and complete roadmap from fundamentals to landing your first job.
Worried that AI will take your software engineering job? Here's the honest truth about AI's impact on tech careers, what beginners should focus on, and how to future-proof your skills in 2025 and beyond.
Start your journey into Large Language Models (LLMs) with this beginner-friendly series. Learn why building LLMs from scratch is crucial, what makes this series different, and how you'll master AI's most powerful technology step-by-step.
Understand Large Language Models from absolute basics. Learn what makes them 'large', how they differ from old NLP models, their secret sauce (Transformers), and real-world applications with simple examples.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.
Comprehensive guide to technical roles in AI industry - from AI Engineer to Data Scientist. Discover required skills, salary packages, and which career path is best for freshers and professionals.
Comprehensive guide to technical roles in AI industry - from AI Engineer to Data Scientist. Discover required skills, salary packages, and which career path is best for freshers and professionals.
Learn how to install Termux on your Android device. A powerful terminal emulator and Linux environment for developers and tech enthusiasts.
Fix the 'You need to take an extra step' error in Shizuku on MIUI, ColorOS, Flyme, and Realme devices. Simple solutions for manufacturer-specific Android restrictions.
Learn how to install and setup Shizuku on Android 11+ using wireless debugging. Step-by-step guide with pairing process and troubleshooting tips.
Learn how to remove bloatware from your Android device without PC or root access. Use Shizuku and Package Manager to uninstall system apps easily.
Learn how to fix Termux Signal 9 error on Android 12+ without root by disabling Phantom Process Killer using Shizuku and aShell.
Learn everything about temporary email addresses - what they are, why you need them, how to use them, and the best tools to protect your privacy online. A complete guide to disposable emails.
Learn how to encrypt text messages on Android using various methods and apps. Protect your sensitive information with password-protected encryption, emoji-based encryption, and secure messaging.
Discover everything about Gmail aliases - what they are, how they work, how to create unlimited aliases, and why they're better than temporary emails for managing your inbox.
Discover the best privacy-focused alternatives to Google apps including email, cloud storage, notes, calendar, and more. Protect your data with these secure, open-source options.
Discover the top 15 Android apps for October 2025, including AI assistants, productivity tools, privacy-focused apps, and more. All apps are tested and recommended.
Discover the best privacy-focused alternatives to Google apps including email, cloud storage, notes, calendar, and more. Protect your data with these secure, open-source options.
Discover the top 15 Android apps for October 2025, including AI assistants, productivity tools, privacy-focused apps, and more. All apps are tested and recommended.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Complete guide for programming beginners starting their coding journey in 2025. Learn the 5 essential mindsets and strategies that will make your learning smooth, effective, and lead to better career outcomes.
Start your journey into Large Language Models (LLMs) with this beginner-friendly series. Learn why building LLMs from scratch is crucial, what makes this series different, and how you'll master AI's most powerful technology step-by-step.
Understand Large Language Models from absolute basics. Learn what makes them 'large', how they differ from old NLP models, their secret sauce (Transformers), and real-world applications with simple examples.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.
Discover the top 15 Android apps for October 2025, including AI assistants, productivity tools, privacy-focused apps, and more. All apps are tested and recommended.
Learn how to remove bloatware from your Android device without PC or root access. Use Shizuku and Package Manager to uninstall system apps easily.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Complete guide for programming beginners starting their coding journey in 2025. Learn the 5 essential mindsets and strategies that will make your learning smooth, effective, and lead to better career outcomes.
Worried that AI will take your software engineering job? Here's the honest truth about AI's impact on tech careers, what beginners should focus on, and how to future-proof your skills in 2025 and beyond.
Complete guide on the 5 crucial steps every student must take before sitting for tech placements and internships in 2025. From resume building to company research, master everything you need.
A comprehensive guide for first-year engineering students to prepare for tech placements and internships. Learn what companies expect, essential skills to master, and a structured roadmap for success.
A comprehensive step-by-step guide to becoming an AI Engineer in India. Learn required skills, tools, project ideas, salary packages, and complete roadmap from fundamentals to landing your first job.
Start your journey into Large Language Models (LLMs) with this beginner-friendly series. Learn why building LLMs from scratch is crucial, what makes this series different, and how you'll master AI's most powerful technology step-by-step.
Understand Large Language Models from absolute basics. Learn what makes them 'large', how they differ from old NLP models, their secret sauce (Transformers), and real-world applications with simple examples.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Complete guide for programming beginners starting their coding journey in 2025. Learn the 5 essential mindsets and strategies that will make your learning smooth, effective, and lead to better career outcomes.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
A comprehensive guide for first-year engineering students to prepare for tech placements and internships. Learn what companies expect, essential skills to master, and a structured roadmap for success.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
Comprehensive guide to technical roles in AI industry - from AI Engineer to Data Scientist. Discover required skills, salary packages, and which career path is best for freshers and professionals.
Comprehensive guide to technical roles in AI industry - from AI Engineer to Data Scientist. Discover required skills, salary packages, and which career path is best for freshers and professionals.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
A comprehensive step-by-step guide to becoming an AI Engineer in India. Learn required skills, tools, project ideas, salary packages, and complete roadmap from fundamentals to landing your first job.
Start your journey into Large Language Models (LLMs) with this beginner-friendly series. Learn why building LLMs from scratch is crucial, what makes this series different, and how you'll master AI's most powerful technology step-by-step.
Understand Large Language Models from absolute basics. Learn what makes them 'large', how they differ from old NLP models, their secret sauce (Transformers), and real-world applications with simple examples.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Learn everything about temporary email addresses - what they are, why you need them, how to use them, and the best tools to protect your privacy online. A complete guide to disposable emails.
Discover everything about Gmail aliases - what they are, how they work, how to create unlimited aliases, and why they're better than temporary emails for managing your inbox.
Learn how to encrypt text messages on Android using various methods and apps. Protect your sensitive information with password-protected encryption, emoji-based encryption, and secure messaging.
Fix the 'You need to take an extra step' error in Shizuku on MIUI, ColorOS, Flyme, and Realme devices. Simple solutions for manufacturer-specific Android restrictions.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Learn how to fix Termux Signal 9 error on Android 12+ without root by disabling Phantom Process Killer using Shizuku and aShell.
Comprehensive guide to technical roles in AI industry - from AI Engineer to Data Scientist. Discover required skills, salary packages, and which career path is best for freshers and professionals.
Worried that AI will take your software engineering job? Here's the honest truth about AI's impact on tech careers, what beginners should focus on, and how to future-proof your skills in 2025 and beyond.
Discover everything about Gmail aliases - what they are, how they work, how to create unlimited aliases, and why they're better than temporary emails for managing your inbox.
Discover the best privacy-focused alternatives to Google apps including email, cloud storage, notes, calendar, and more. Protect your data with these secure, open-source options.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Complete guide on the 5 crucial steps every student must take before sitting for tech placements and internships in 2025. From resume building to company research, master everything you need.
Complete guide on the 5 crucial steps every student must take before sitting for tech placements and internships in 2025. From resume building to company research, master everything you need.
Learn how to install Termux on your Android device. A powerful terminal emulator and Linux environment for developers and tech enthusiasts.
Start your journey into Large Language Models (LLMs) with this beginner-friendly series. Learn why building LLMs from scratch is crucial, what makes this series different, and how you'll master AI's most powerful technology step-by-step.
Understand Large Language Models from absolute basics. Learn what makes them 'large', how they differ from old NLP models, their secret sauce (Transformers), and real-world applications with simple examples.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.
A comprehensive step-by-step guide to becoming an AI Engineer in India. Learn required skills, tools, project ideas, salary packages, and complete roadmap from fundamentals to landing your first job.
Start your journey into Large Language Models (LLMs) with this beginner-friendly series. Learn why building LLMs from scratch is crucial, what makes this series different, and how you'll master AI's most powerful technology step-by-step.
Understand Large Language Models from absolute basics. Learn what makes them 'large', how they differ from old NLP models, their secret sauce (Transformers), and real-world applications with simple examples.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Comprehensive guide to technical roles in AI industry - from AI Engineer to Data Scientist. Discover required skills, salary packages, and which career path is best for freshers and professionals.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
Learn how to remove bloatware from your Android device without PC or root access. Use Shizuku and Package Manager to uninstall system apps easily.
Complete guide on the 5 crucial steps every student must take before sitting for tech placements and internships in 2025. From resume building to company research, master everything you need.
A comprehensive guide for first-year engineering students to prepare for tech placements and internships. Learn what companies expect, essential skills to master, and a structured roadmap for success.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Learn everything about temporary email addresses - what they are, why you need them, how to use them, and the best tools to protect your privacy online. A complete guide to disposable emails.
Learn how to encrypt text messages on Android using various methods and apps. Protect your sensitive information with password-protected encryption, emoji-based encryption, and secure messaging.
Discover everything about Gmail aliases - what they are, how they work, how to create unlimited aliases, and why they're better than temporary emails for managing your inbox.
Discover the best privacy-focused alternatives to Google apps including email, cloud storage, notes, calendar, and more. Protect your data with these secure, open-source options.
Discover the top 15 Android apps for October 2025, including AI assistants, productivity tools, privacy-focused apps, and more. All apps are tested and recommended.
Discover everything about Gmail aliases - what they are, how they work, how to create unlimited aliases, and why they're better than temporary emails for managing your inbox.
Discover the top 15 Android apps for October 2025, including AI assistants, productivity tools, privacy-focused apps, and more. All apps are tested and recommended.
A comprehensive step-by-step guide to becoming an AI Engineer in India. Learn required skills, tools, project ideas, salary packages, and complete roadmap from fundamentals to landing your first job.
Complete guide for programming beginners starting their coding journey in 2025. Learn the 5 essential mindsets and strategies that will make your learning smooth, effective, and lead to better career outcomes.
A comprehensive guide for first-year engineering students to prepare for tech placements and internships. Learn what companies expect, essential skills to master, and a structured roadmap for success.
A comprehensive step-by-step guide to becoming an AI Engineer in India. Learn required skills, tools, project ideas, salary packages, and complete roadmap from fundamentals to landing your first job.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Learn everything about temporary email addresses - what they are, why you need them, how to use them, and the best tools to protect your privacy online. A complete guide to disposable emails.
Learn how to encrypt text messages on Android using various methods and apps. Protect your sensitive information with password-protected encryption, emoji-based encryption, and secure messaging.
Discover the best privacy-focused alternatives to Google apps including email, cloud storage, notes, calendar, and more. Protect your data with these secure, open-source options.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.
Learn how to install and setup Shizuku on Android 11+ using wireless debugging. Step-by-step guide with pairing process and troubleshooting tips.
Fix the 'You need to take an extra step' error in Shizuku on MIUI, ColorOS, Flyme, and Realme devices. Simple solutions for manufacturer-specific Android restrictions.
Learn how to install and setup Shizuku on Android 11+ using wireless debugging. Step-by-step guide with pairing process and troubleshooting tips.
Learn how to remove bloatware from your Android device without PC or root access. Use Shizuku and Package Manager to uninstall system apps easily.
Learn how to fix Termux Signal 9 error on Android 12+ without root by disabling Phantom Process Killer using Shizuku and aShell.
Worried that AI will take your software engineering job? Here's the honest truth about AI's impact on tech careers, what beginners should focus on, and how to future-proof your skills in 2025 and beyond.
Complete guide for programming beginners starting their coding journey in 2025. Learn the 5 essential mindsets and strategies that will make your learning smooth, effective, and lead to better career outcomes.
Worried that AI will take your software engineering job? Here's the honest truth about AI's impact on tech careers, what beginners should focus on, and how to future-proof your skills in 2025 and beyond.
Complete guide on the 5 crucial steps every student must take before sitting for tech placements and internships in 2025. From resume building to company research, master everything you need.
A comprehensive guide for first-year engineering students to prepare for tech placements and internships. Learn what companies expect, essential skills to master, and a structured roadmap for success.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Comprehensive guide to technical roles in AI industry - from AI Engineer to Data Scientist. Discover required skills, salary packages, and which career path is best for freshers and professionals.
Worried that AI will take your software engineering job? Here's the honest truth about AI's impact on tech careers, what beginners should focus on, and how to future-proof your skills in 2025 and beyond.
Complete guide on the 5 crucial steps every student must take before sitting for tech placements and internships in 2025. From resume building to company research, master everything you need.
Complete guide for programming beginners starting their coding journey in 2025. Learn the 5 essential mindsets and strategies that will make your learning smooth, effective, and lead to better career outcomes.
A comprehensive guide for first-year engineering students to prepare for tech placements and internships. Learn what companies expect, essential skills to master, and a structured roadmap for success.
Learn how to install Termux on your Android device. A powerful terminal emulator and Linux environment for developers and tech enthusiasts.
Learn how to fix Termux Signal 9 error on Android 12+ without root by disabling Phantom Process Killer using Shizuku and aShell.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Learn how to install Termux on your Android device. A powerful terminal emulator and Linux environment for developers and tech enthusiasts.
Fix the 'You need to take an extra step' error in Shizuku on MIUI, ColorOS, Flyme, and Realme devices. Simple solutions for manufacturer-specific Android restrictions.
Learn how to install and setup Shizuku on Android 11+ using wireless debugging. Step-by-step guide with pairing process and troubleshooting tips.
Learn how to remove bloatware from your Android device without PC or root access. Use Shizuku and Package Manager to uninstall system apps easily.
Learn how to fix Termux Signal 9 error on Android 12+ without root by disabling Phantom Process Killer using Shizuku and aShell.
Learn everything about temporary email addresses - what they are, why you need them, how to use them, and the best tools to protect your privacy online. A complete guide to disposable emails.
Learn how to encrypt text messages on Android using various methods and apps. Protect your sensitive information with password-protected encryption, emoji-based encryption, and secure messaging.
Discover everything about Gmail aliases - what they are, how they work, how to create unlimited aliases, and why they're better than temporary emails for managing your inbox.
Start your journey into Large Language Models (LLMs) with this beginner-friendly series. Learn why building LLMs from scratch is crucial, what makes this series different, and how you'll master AI's most powerful technology step-by-step.
Understand Large Language Models from absolute basics. Learn what makes them 'large', how they differ from old NLP models, their secret sauce (Transformers), and real-world applications with simple examples.
Learn the two critical stages of building Large Language Models: Pre-training and Fine-tuning. Understand why ChatGPT works so well, how companies customize LLMs, and the complete lifecycle from raw data to production-ready AI.
Discover how Transformers revolutionized AI. Learn the encoder-decoder architecture, self-attention mechanism, tokenization, embeddings, and differences between GPT and BERT - all explained with simple examples for absolute beginners.
Deep dive into GPT architecture. Learn the evolution from GPT-1 to GPT-4, zero-shot vs few-shot learning, auto-regressive models, unsupervised learning, emergent behavior, and why training costs $4.6 million - explained for absolute beginners.
Your complete roadmap for building LLMs from scratch. Learn the 3-stage process: Data Preparation & Architecture (Stage 1), Pre-training (Stage 2), and Fine-tuning & Deployment (Stage 3). Understand tokenization, attention mechanisms, training loops, and building real applications like spam classifiers and chatbots.
Start coding! Learn tokenization from scratch - the first step in building LLMs. Break text into tokens, create vocabulary, build encoder/decoder, handle special tokens (UNK, EOS), and understand why GPT uses Byte Pair Encoding. Complete Python implementation included.
Master Byte Pair Encoding (BPE) - the tokenization algorithm used in GPT-2, GPT-3, and ChatGPT. Learn why it's superior to word and character tokenization, build BPE from scratch, understand subword tokenization, and use tiktoken library. Complete Python implementation with real examples.
Learn how to create input-target pairs for LLM training. Master context windows, sliding windows, batch processing, and PyTorch DataLoaders. Understand auto-regressive training, why next-word prediction needs special data preparation, and implement efficient data pipelines from scratch.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.
Master token embeddings from scratch! Learn why random token IDs fail, how vectors capture semantic meaning (King - Man + Woman = Queen!), build embedding layers in PyTorch, understand Word2Vec, implement lookup tables, and prepare embeddings for GPT training. Discover why embeddings are the secret sauce of LLMs.