LLMs

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

 🖥️Operating Systems
zozo123.github.io··Hacker News

Improved performance and model support with GGUF

 🧠Machine Learning  Content type: Blog
ollama.com·

Claude Fable 5 is Mythos for the masses

 📝NLP  Content type: Blog
techzine.eu·

[AINews] Anthropic Claude Fable 5 — Mythos but Safe, with Controversial Terms

 🤖AI  Content type: News
latent.space
·

Treating LLMs as Programming Books

 📝NLP  Content type: Blog
jola.dev··Hacker News

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

 🤖AI
aermia.com··Hacker News

How to Build an Agentic RAG with RubyLLM and Rails

 🧠Machine Learning  Content type: Blog
panasiti.me··Hacker News

Transitioning from Azure Language Features to Foundry Models

 📝NLP

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

 🧠Machine Learning
buy.polar.sh··DEV

These open-source tools do what Claude charges for, and some do it better

 🌍Open Source
xda-developers.com·

Claude Fable 5 silently degrades its own performance on frontier AI work

 🤖AI  Content type: News  Content type: Blog

New comment by bkjlblh in "Claude Fable 5"

 🌍Open Source  Content type: Discussion

lightmetal: GPU LLM Inference From a Single Java 25 JAR

 🖥️Operating Systems  Content type: Blog
adambien.blog·

I've tested so many desktop AI tools, but Hermes with Ollama is my new favorite - here's why

 🤖AI  Content type: News  Content type: Tutorial
zdnet.com·

local llm on laptop 780M GPU using llama + gemma 4 qat

 🖥️Operating Systems  Content type: Blog
alper.bearblog.dev·

TOON: Beyond JSON for LLMs

 🤖AI  Content type: Blog
towardsai.net·

The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring

 📝NLP  Content type: Academic
arxiv.org·

When Is It Actually a RAG Problem?

 🧠Machine Learning

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

 🧠Machine Learning  Content type: Blog
blog.n8n.io·

The AI Glass Ceiling

 🤖AI
tomtunguz.com·

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