How LLM Guardrails Work, ColBERT and InstructGPT Decoded
Safety gates, late-interaction retrieval, and the RLHF recipe that led to ChatGPT
Outcome School Newsletter
Outcome School by Amit Shekhar
Live Last read · last published · next check
Latest posts
AI Model Can Be Hijacked With Plain English
The top LLM attack, plus deployment, Transformers, Generative AI, and Precision vs Recall
What Are Embeddings, Agent Skills, MCP, and OKF?
Plus how fine-tuning turns a general model into a specialist
How Cursor, Claude Code, and llama.cpp Actually Work
Plus Semantic Search, context compaction, and model quantization, explained simply
How Prefill, Decode, HyDE, and Hybrid Search Work
Plus Semantic Caching, PyTorch, Prompt Chaining, and Chain-of-Thought, explained simply
How LangChain, LangGraph, and SGLang Actually Work
Plus ANN search, Google TPUs, and GPUs for deep learning, decoded
How Computer-Use Agents, Embeddings, and DLMs Work
Plus an Embedding Cache deep-dive and the Sakana Fugu report, decoded
vLLM, Function Calling, and World Models explained
How vLLM, Function Calling, and World Models actually work
How Prompt Caching, RAG, and GGUF actually work
6 ideas that power AI search, RAG, and local models
AI Agents Learning Roadmap with Resources
Everything about AI Agents