📰 Dev.to · Akhilesh

65 articles · Updated every 3 hours · View all reads

All Articles 90,962 Blog Posts 109,273 Tech Tutorials 22,747 Research Papers 19,221 News 14,835 ⚡ AI Lessons

106. LangGraph: Stateful Agent Workflows

Dev.to · Akhilesh 1w ago

106. LangGraph: Stateful Agent Workflows

LangChain chains flow in one direction. Input enters, output exits, done. Real agent workflows are...

105. LangChain: Orchestrating AI Applications

Dev.to · Akhilesh 2w ago

105. LangChain: Orchestrating AI Applications

You have spent four posts building agents from scratch. Raw API calls. Custom tool loops. Manual...

103. Agent Memory: Short-Term, Long-Term, and Episodic

Dev.to · Akhilesh 2w ago

103. Agent Memory: Short-Term, Long-Term, and Episodic

Agent Memory: Short-Term, Long-Term, and Episodic Main Thumbnail Image Prompt: A human...

101. AI Agents: When LLMs Start Taking Actions

Dev.to · Akhilesh 🤖 AI Agents & Automation ⚡ AI Lesson 3w ago

101. AI Agents: When LLMs Start Taking Actions

Everything you have built so far is reactive. User sends a message. System processes it. System...

98. RAG: Give Your AI Access to Your Documents

Dev.to · Akhilesh 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

98. RAG: Give Your AI Access to Your Documents

You ask ChatGPT about your company's internal policies. It makes something up. It sounds confident....

95. Fine-Tuning LLMs: Make a General Model Do Your Specific Job

Dev.to · Akhilesh 🧠 Large Language Models ⚡ AI Lesson 3w ago

95. Fine-Tuning LLMs: Make a General Model Do Your Specific Job

A general language model knows a little about everything. It knows some medicine. Some law. Some...

93. GPT: The Model That Predicts the Next Word Forever

Dev.to · Akhilesh 1mo ago

93. GPT: The Model That Predicts the Next Word Forever

BERT reads everything at once and understands. GPT reads left to right and predicts what comes next....

92. BERT: The Model That Reads in Both Directions

Dev.to · Akhilesh 1mo ago

92. BERT: The Model That Reads in Both Directions

GPT generates text by predicting the next word. It reads left to right. BERT does something...

89. The Claude API: Building with Anthropic's Models

Dev.to · Akhilesh 1mo ago

89. The Claude API: Building with Anthropic's Models

Every model has a philosophy behind it. OpenAI built GPT to maximize capability. Anthropic built...

86. RAG: Giving Language Models Long-Term Memory

Dev.to · Akhilesh 🧠 Large Language Models ⚡ AI Lesson 1mo ago

86. RAG: Giving Language Models Long-Term Memory

Large language models know a lot. They do not know everything. They were trained on internet text up...

85. Embeddings and Vector Search: Memory for Language Models

Dev.to · Akhilesh 1mo ago

85. Embeddings and Vector Search: Memory for Language Models

A language model has no memory. You ask it a question. It generates an answer from its pretrained...

84. Fine-Tuning LLMs: Teaching Giants New Tricks

Dev.to · Akhilesh 1mo ago

84. Fine-Tuning LLMs: Teaching Giants New Tricks

GPT-3 has 175 billion parameters. Full fine-tuning updates all 175 billion with every gradient step....

83. HuggingFace: Your Library for Every Pretrained Model

Dev.to · Akhilesh 1mo ago

83. HuggingFace: Your Library for Every Pretrained Model

You have spent the last five posts building transformers, training BERT-like models, implementing GPT...

82. GPT: The Art of Predicting the Next Word

Dev.to · Akhilesh 1mo ago

82. GPT: The Art of Predicting the Next Word

One model objective, stated simply: given all previous words, predict the next word. That is the...

81. BERT: Understanding Language Deeply

Dev.to · Akhilesh 1mo ago

81. BERT: Understanding Language Deeply

Google Search used to work by matching keywords. You type "jaguar speed." You get pages about the...

80. The Transformer: The Architecture That Changed Everything

Dev.to · Akhilesh 1mo ago

80. The Transformer: The Architecture That Changed Everything

In 2017, eight researchers at Google published a paper called "Attention Is All You Need." The title...

78. Word Embeddings: Words as Numbers That Actually Mean Something

Dev.to · Akhilesh 1mo ago

78. Word Embeddings: Words as Numbers That Actually Mean Something

The tokenizer gave you integers. "cat" is 2345. "dog" is 7891. Your model sees these numbers and...

70. Hyperparameter Tuning: Finding the Best Settings.

Dev.to · Akhilesh 1mo ago

70. Hyperparameter Tuning: Finding the Best Settings.

You picked a model. You trained it. You got decent accuracy. Then someone asks: did you tune the...

69. Feature Engineering: Building Better Inputs

Dev.to · Akhilesh 1mo ago

69. Feature Engineering: Building Better Inputs

You've tried three different algorithms. None of them break 78% accuracy. You add dropout, tune...

68. PCA: Shrinking Data Without Losing Information

Dev.to · Akhilesh 📐 ML Fundamentals ⚡ AI Lesson 1mo ago

68. PCA: Shrinking Data Without Losing Information

You have 100 features. Most of them are correlated. Training is slow. Visualization is impossible....

67. DBSCAN: Clustering That Handles Messy Data

Dev.to · Akhilesh 1mo ago

67. DBSCAN: Clustering That Handles Messy Data

Last post K-Means failed on crescent-shaped data. It cut across the natural curves instead of...

64. Precision and Recall: Beyond Accuracy

Dev.to · Akhilesh 1mo ago

64. Precision and Recall: Beyond Accuracy

Last post you saw that accuracy can be 95% while your model catches zero fraud. Precision and recall...

63. Confusion Matrix: What Your Model Got Wrong and Why

Dev.to · Akhilesh 1mo ago

63. Confusion Matrix: What Your Model Got Wrong and Why

Your model has 95% accuracy. You ship it. Three weeks later someone tells you it's missing 40% of...

62. Naive Bayes: Fast, Simple, Surprisingly Effective

Dev.to · Akhilesh 1mo ago

62. Naive Bayes: Fast, Simple, Surprisingly Effective

Your email spam filter makes a decision in milliseconds. Thousands of words. Instant...