Prompt Engineering

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Evaluating using Mock Tool Calls to Quarantine Untrusted Prompt Inputs

 🎭Synthetic Data
lesswrong.com·

How to make prompt tracking much more accurate

 🔍Retrieval-Augmented Generation

Slangify: The Case for DSLs in LLM Workflows

 📊Information Anthropology  Content type: Blog

Comparing Claude Fable 5's system prompt to Opus 4.8

 🤖AI  Content type: Blog

Indirect Prompt Injection remains a fundamental security challenge for AI

 🤖AI  Content type: Blog
brave.com·

My Notes on the Progression from Context to Prompt to Harness engineering in making GPT LLMs Useful: (TUESDAY) MAMLMs

 🔍Retrieval-Augmented Generation  Content type: News  Content type: Blog

Flaws in the LLM Automation Narrative

 🤖AI  Content type: Academic
arxiv.org·

Evaluate your Amazon Nova Sonic voice agent at scale, no microphone required

 🔄Transfer Learning  Content type: Blog
aws.amazon.com·

Best explanations of how LLMs work

 🔍Retrieval-Augmented Generation  Content type: Blog

AI Video Generation Benchmark: 11 LLMs Compared

 🔍Retrieval-Augmented Generation

LLM Observability: What To Instrument and How To Act on It

 🔍Retrieval-Augmented Generation  Content type: Blog
blog.n8n.io·

From prompt to pwned: chaining LLM and web bugs to Admin

 🐧Open source software  Content type: Blog
blog.quarkslab.com·

TOON: Beyond JSON for LLMs

 🤖AI  Content type: Blog
towardsai.net·

Logits as a new monitor for evaluation awareness

 🔄Transfer Learning
lesswrong.com··Hacker News

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

 🔍Retrieval-Augmented Generation  Content type: Academic
biorxiv.org·

LLMs are not an acceptable high level language

 🔍Retrieval-Augmented Generation
federicopereiro.com·

Why Claude Produces High-Quality Output: A Developer’s Guide to Token Efficiency and Hallucination…

 🤖AI  Content type: Blog
medium.com·

How real people actually prompt AI — and what it means for GEO

 🎭Synthetic Data

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 🤖AI  Content type: Code
github.com··Hacker News

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