Prompt Engineering

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Scoured 130 posts in 10.4 ms

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

 🤖Large Language Models
pub.towardsai.net
·

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

 🤖ChatGPT  Content type: Code

Prompt Injection in RAG Agentic Systems

 🤖AI Tools
ulad.net··Hacker News

How to Build an Agentic RAG with RubyLLM and Rails

 🤖AI Tools  Content type: Blog
panasiti.me··Hacker News

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 🤖Large Language Models

Show HN: Ext-Infer

 🧠LLMs

Humans and LLMs share a mental disorder: Fugue Lock

 🤖ChatGPT
vwwwv.org··Hacker News

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

 🤖AI Tools
zozo123.github.io··Hacker News

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🧠LLM
aermia.com··Hacker News

Comparing Claude Fable 5's system prompt to Opus 4.8

 🤖ChatGPT  Content type: Blog

our workplace LLM mass delusion

 🤖ChatGPT  Content type: Blog
blog.avas.space··Hacker News

Melanie Mitchell: What We Get Wrong About AI

 🧠LLM

How we fight GPU scarcity without compromise

 🧠LLMs  Content type: Blog
equixly.com··Hacker News

MarkSentry – zero-trust document-to-Markdown for RAG pipelines

 ☁️Cloud Computing

Purpose-built local AI agents

 🤖AI  Content type: Blog

Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 (@elder_plinius)

 🤖ChatGPT
xcancel.com··Hacker News

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

 🤖AI

Show HN: Built an open-source local firewall for AI coding agents

 🐙GitHub  Content type: Discussion

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

 🤖Large Language Models
pub.towardsai.net
·

ChatGPT easily bypasses its own guardrails; all LLMs are inherently unsafe

 🤖ChatGPT  Content type: Blog
techzine.eu·

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