Prompt Engineering

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A reporting checklist for large language models in behavioural science

 🤖AI  Content type: Academic
nature.com·

Flaws in the LLM Automation Narrative

 🤖AI  Content type: Academic
arxiv.org·

Introducing LLM as a Judge: Scaling search relevance evaluation with AI

 🤖AI  Content type: Blog
opensearch.org·

My prompt is better than your prompt – how to optimize your prompts in the age of agentic AI

 🤖AI  Content type: Blog
metrics.blogg.gu.se·

Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 (@elder_plinius)

 💻coding
xcancel.com··Hacker News

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 🤖AI  Content type: Blog
towardsai.net·

How AI prompt patterns vary by industry and shape search visibility

 🤖AI
searchengineland.com·

Comparing Claude Fable 5's system prompt to Opus 4.8

 🚀Performance  Content type: Blog

HN: Claudectl – A workspace manager for Claude Code

 🚀Startups  Content type: Code
github.com··Hacker News

Why Your LLM Gets Dumber With More Context

 🤖AI
siliconopera.com·

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

 📝Tech Blogs

Detecting AI-specific threats in Claude Enterprise from the Compliance API: a prefilter + LLM-as-judge pipeline with Sigma rules

 🔐Infosec
papermtn.co.uk··r/netsec

Intelligent inference scheduling with llm-d on Red Hat AI

 🚀Performance

How to Run an LLM Locally: Ultimate Guide to Local AI 2026

 🍎Apple  Content type: Blog
cswithsanjay.blogspot.com·

How to Defend Against Prompt Injection in Production

 🌐Web Dev  Content type: Reference
leanpub.com··DEV

iOS 27 system prompts

 🍎Apple

No One Can Compare LLMs

 🚀Performance
xlii.space··Hacker News

Making Local LLM Fast

 🚀Startups

Comprehensive evaluation of LLM capabilities for interpretation and analysis of genome-scale metabolic models in metabolic engineering

 🏗️LLVM  Content type: Academic
biorxiv.org·

How LLMs are Actually Trained

 🤖AI  Content type: News  Content type: Blog
blog.algomaster.io·

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