Outcome School Newsletter
Outcome SchoolOutcome School by Amit Shekhar
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 72 | Founded | a year ago | Last Issue | 8 days ago |
| Active | |||||
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outcomeschool.substack.comLatest Issues
How LLM Guardrails Work, ColBERT and InstructGPT Decoded
Three new blogs this week, covering the safety checks that sit around a model, a retrieval method that matches word by word at scale, and the paper that taught GPT-3 to actually follow our instructions.
Let’s get started.
How do...
AI Model Can Be Hijacked With Plain English
Five new blogs this week, covering where models run, the two building blocks inside a Transformer, what Generative AI really is, the number one security risk in LLM apps, and the two numbers we use to measure any yes-or-no system.
Let’s ge...
What Are Embeddings, Agent Skills, MCP, and OKF?
Five new blogs this week, covering the foundation behind modern AI, three open standards that make agents genuinely useful, and how we turn a general model into a specialist.
Let’s get started.
What are Embeddings?
An embedding is a l...
How Cursor, Claude Code, and llama.cpp Actually Work
Six latest blog posts, covering search by meaning, two AI coding tools, the memory trick that keeps long sessions alive, and how big models get small enough to run on our own machine. Here’s a quick look at each, in our own words. Let’s get...
How Prefill, Decode, HyDE, and Hybrid Search Work
Seven new blogs this week, covering LLM inference internals, three ways to make retrieval and caching smarter, PyTorch fundamentals, and two prompting techniques.
Let’s get started.
Prefill vs Decode: LLM Inference Optimization...
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