Prompt Engineering

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Scoured 83 posts in 9.3 ms

scottpurdy/llmbuffer: LLM conversation buffer with cache optimization and dynamic context.

 LLM Optimization  Content type: Code

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 LLM Optimization

How we fight GPU scarcity without compromise

 LLM Optimization  Content type: Blog
equixly.com··Hacker News

iOS 27 system prompts

 LLM Optimization

If LLMs are all persona, whose persona are they?

 🗃Databases

Logits as a new monitor for evaluation awareness

 🔍AI Interpretability
lesswrong.com··Hacker News

Making Local LLM Fast

 Model Efficiency

Agentic Frameworks

 🤖AI  Content type: News  Content type: Blog

Fine-tuning vs RAG vs MeMo: Where should LLM Knowledge Live?

 🤖AI
pub.towardsai.net
·

Comparing Claude Fable 5's system prompt to Opus 4.8

 🛠️Developer Tools  Content type: Blog

A wild idea: Abstract reality using ontology

 🔍AI Interpretability  Content type: Discussion

Humans and LLMs share a mental disorder: Fugue Lock

 LLM Optimization
vwwwv.org··Hacker News

Melanie Mitchell: What We Get Wrong About AI

 🤖AI

Build a Basic AI Agent from Scratch: Long Task Planning

 🤖AI  Content type: Blog
ruxu.dev··Hacker News

Purpose-built local AI agents

 🤖AI  Content type: Blog

our workplace LLM mass delusion

 🔓Hacking  Content type: Blog

Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search

 🗃Databases

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 LLM Optimization

How Edgar Allan Poe found bugs in Turso

 🗃Databases  Content type: Blog
turso.tech··Hacker News

Meet Hades: The malware that lies to AI security agents

 🐍Python  Content type: News
infoworld.com··Hacker News

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