-
CINTESIS @ up.pt
- Portugal
-
02:42
(UTC +01:00) - http://cintesis.eu/ai4health/
- https://orcid.org/0000-0002-5301-8672
- @franzbischoff
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A collection of open source, actively maintained web apps for LLM applications
AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen™ and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requi…
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Convert Audible aax files to mp3 and m4a/m4b
A visual way to view your ACL rules for Tailscale
A collection of tools for extracting FHIR resources and analytics services on top of that data.
A Native-PyTorch Library for LLM Fine-tuning
FFmpeg prebuilt binaries for NW.js / Chromium
An 8 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.
Meditron is a suite of open-source medical Large Language Models (LLMs).
FlexiGPT plugin for VSCode. Interact with AI models as a power user
Robust recipes to align language models with human and AI preferences
An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
The official Node.js / Typescript library for the OpenAI API
Interact with your documents using the power of GPT, 100% privately, no data leaks
Yes, it's another chat over documents implementation... but this one is entirely local!
🕸️🦀 A WASM vector similarity search written in Rust
A collection of standardized JSON descriptors for Large Language Model (LLM) files.
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks