An open-source visual programming environment for battle-testing prompts to LLMs.
- ai
- evaluation
- large-language-models
- llmops
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An open-source visual programming environment for battle-testing prompts to LLMs.
📊 A multi theme, completely accessible, ready for production dashboard.
A python program that turns an LLM, running on Ollama, into an automated researcher, which will with a single query determine focus areas to investigate, do websearches and scrape content from various relevant websites and do research for you all on its own! And more, not limited to but including saving the findings for you!
Cecil is a library to inspect, modify and create .NET programs and libraries.
List of articles related to deep learning applied to music
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
:art: A JavaScript Quality Guide
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
User Profile-Based Long-Term Memory for AI Chatbot Applications.
🔣 Compose Key for Windows
The `npx serve` of Apple Simulators.
Repo for AI Agents The Definitive Guide
⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
A 13B large language model developed by Baichuan Intelligent Technology
Implementation of papers in 100 lines of code.
:calendar: Customizable date (and time) picker. Opt-in UI, no jQuery!
A GitHub action to create a pull request for changes to your repository in the actions workspace
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Symbol-level code retrieval for AI agents: fetch the function you need, not the whole file. Runs locally. 96.2% fewer tokens per lookup on average than grep-and-read on our 15-lookup benchmark. Works with Claude Code, Cursor, Codex and any MCP client. Free for non-commercial use; commercial use needs a one-time license.
Provides an engine that can compile and evaluate expressions
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
HyperFormula is an open-source headless spreadsheet for business web apps. It comes with over 400 formulas, CRUD operations, undo-redo, clipboard support, and sorting.