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rails-llm provides generators and an engine for the llm.rb runtime inside Ruby on Rails. The engine includes a chat interface, and the generators take care of migrations & mode...
TLDR: this post summarizes how I was able to leverage my Surface Pro 11’s Neural Processing Unit (NPU) to chat […] The post Running local LLMs on your NPU from R with Foundry Local...
Give your local LLM real-time web data. Build a TypeScript chat app that calls SerpApi and keeps every response inside a small context window.
Birgitta Böckeler recently spent some time trying out running local LLMs for some programming tasks. In this memo she outlines the factors that influence how viable the...
<a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!YhR0!,f_auto,q_auto:good,fl_progressive:steep...
Tired of your monthly API bill? Follow this tested guide to set up a high-performance local LLM on your Mac Mini without the headaches. The post Run a Local LLM with OpenClaw on Y...
https://github.com/sergey-homenko/llm_cost_tracker
The new LLM, a rarity among legal tech companies, is intended to offer better and faster performance on contract tasks including interpreting clauses and flagging risks.
llm.rb is an advanced runtime for building highly capable AI applications on CRuby. This release is packed with new features, bug fixes, & other improvements.
llm_replay_eval records on-device inference once, then replays it forever fast, offline, deterministic. Plus an LLM-as-judge that replays…Continue reading on Medium »
Using Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared first on Towards Data Science.
https://github.com/sergey-homenko/llm_cost_tracker
Bonjour à tous ! Un petit outil très pratique aujourd’hui : LLMfit, un utilitaire qui permet de vérifier si votre configuration est capable
рџ’Ћ https://rubygems.org/gems/llm_cost_tracker рџ“ќ https://github.com/sergey-homenko/llm_cost_tracker
MiniStack 1.4.0 ships four new services that emulate Amazon Bedrock end to end, and one env var that turns the mock into a real LLM backend. The default: deterministic, s...
https://github.com/sergey-homenko/llm_cost_tracker
Building a Local-Only RAG System with Ollama and TypeScript Most RAG tutorials send your private documents to OpenAI. Here's how to keep them on your laptop. This post walks thr...
Inside a five-stage digest pipeline where the LLM proposes and deterministic code decidesContinue reading on Medium »
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