LLMs

🧠 LLMsSpecific

large language models, fine-tuning, prompt engineering, foundation models

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Scoured 3430 posts in 12.6 ms

Using Scikit-LLM with Open-Source LLMs

 💬NLP
machinelearningmastery.com·

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

 🔍RAG  Content type: News  Content type: Blog
braddelong.substack.com
··Substack

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

 🔍RAG  Content type: Academic
arxiv.org·

I built an open-source persistent memory layer for AI coding agents

 🧠LLM Inference  Content type: Code
github.com··r/GithubCopilot

The Rise of Agentic AI: What Every Engineer Should Learn

 🤖Machine Learning  Content type: Blog
medium.com·

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

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

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

 🤖AI
aermia.com··Hacker News

Report: Why developers use LLMs to write blog posts

 🤖AI Engineering  Content type: News  Content type: Blog
writethatblog.substack.com··Substack

How J.A.R.V.I.S. Became the Smartest Mind on Earth — What is an LLM?

 🧠LLM Inference  Content type: Blog
medium.com·

147th airhacks tv: Local LLMs, LightMetal, ZSmith Agents, AI Rails, Saving Tokens

 🧠LLM Inference  Content type: Blog
adambien.blog·

Location: Göttingen, Germany Remote: Yes (preferred; hybrid also fine) Willing t...

 🤖ai  Content type: Discussion
news.ycombinator.com··Hacker News

LLM are universal simulators

 🧠LLM Inference
invertedpassion.com··Hacker News

LLMs are not an acceptable high level language

 🤖AI Engineering
federicopereiro.com·

You don't need Copilot for code completion, try this instead

 🤖ai
mistral.ai··r/GithubCopilot

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

 🤖Machine Learning  Content type: News
spectrum.ieee.org
·

zhongkaifu/TensorSharp: A C# inference engine for running large language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability

 🧠LLM Inference  Content type: Code
github.com··Hacker News

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

 🔍RAG  Content type: Blog
blogs.sas.com·

WWDC 2026: Foundation Models (& Anarlog)

 🧠LLM Inference
skushagra.com·

How to Build an Agentic RAG with RubyLLM and Rails

 🔍RAG  Content type: Blog
panasiti.me··Hacker News

Blogging with an LLM assistant

 💬NLP
vincent.bernat.ch··Lobsters

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