LLMs

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Using Scikit-LLM with Open-Source LLMs

 🤖AI

The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models

 🤖AI  Content type: Academic
arxiv.org·

Why LLMs (still) lack taste

 🤖AI

LLM Routing: From Strategy Selection to Production Architecture

 🤖AI  Content type: Blog
blog.n8n.io·

Google fills out the middle with the Gemma 4 12B

 🕹️AI Agents
jonpeddie.com·

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

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

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

 🤖AI  Content type: Blog
adambien.blog·

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

 💻Software Engineering

Gemma 4 QAT on 10GB Laptop: Local AI with 6.7GB VRAM

 🤖AI
everylocalai.com··DEV

Google’s DiffusionGemma is 4x faster than its other Gemma models

 🤖AI
thenewstack.io·

LLM are universal simulators

 🤖AI

Run Google's Gemini LLMs right on your Mac with the new AI Edge Gallery

 🤖AI
appleinsider.com·

Get officially certified in Claude AI for just $19.99

 🤖AI
pcworld.com·

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

 🤖AI  Content type: Academic
biorxiv.org·

Transitioning from Azure Language Features to Foundry Models

 🕹️AI Agents

How LLMs work | Practical Leaders

 🤖AI

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

 🕹️AI Agents  Content type: Blog
towardsai.net·

AI 101: From Prompt Engineering to Skill Engineering

 🕹️AI Agents
turingpost.com·

The latest Gemma 4 models use a training trick to slash their on-device memory footprint

 🕹️AI Agents
androidauthority.com·

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

 🕹️AI Agents  Content type: News  Content type: Blog

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