Outcome School Newsletter
Outcome SchoolOutcome School by Amit Shekhar
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 63 | Founded | 10 months ago | Last Issue | 10 days ago |
| Active | |||||
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outcomeschool.substack.comLatest Issues
AI Agents Learning Roadmap with Resources
If you want to learn AI Agents the right way, here is a complete roadmap. 16 blogs that take you from what an AI Agent is, all the way to building, evaluating, and shipping one in production. Read them in order.
1. AI Agent Explained...
Why is the Context Window limited in LLMs?
Let's understand in simple words.
The context window is the maximum amount of text an LLM can read at once. For example, GPT-4 has a context window of 128K tokens, which is roughly the size of a 300-page book.
So, why can't we jus...
AI Agents: Loop, SubAgents, Communication, Observability
This week was all about AI Agents: how a single one runs, how many of them split work, how they talk to each other, and how we see inside them.
Let’s get started.
1. AI Agent Loop
Every AI Agent has an engine that keeps it goi...
AI Orchestration, Agent Evaluation, LLM-as-a-Judge
Let’s say you have built an AI Agent product. The moment real users start depending on it, three hard questions decide whether it survives:
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How do I coordinate all the moving parts?
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How do I know it actually works?
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How do I c...
LLM Inference Optimization
Techniques like KV Cache, Paged Attention, Flash Attention, Speculative Decoding, and Continuous Batching are what make LLMs fast and scalable in production.
Let’s learn all of these techniques one by one.
KV Cache in LLMs
In this blo...
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