Pathways: multi-modal AI/ML models on discord
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Updated
Jun 3, 2024 - JavaScript
Pathways: multi-modal AI/ML models on discord
jetson-examples running AI models and applications on NVIDIA Jetson devices with one-line command.
Foundation model benchmarking tool. Run any model on Amazon SageMaker and benchmark for performance across instance type and serving stack options.
🤖 The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
Start building LLM-empowered multi-agent applications in an easier way.
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
Python scraper based on AI
The server version of my in-development assistant, written in Go
Testing the capabilities of the Llama 3 language model, specifically the Meta-Llama-3-8B-Instruct variant with 8 billion parameters.
Devon: An open-source pair programmer
Repo for DermAssist: Your AI Assitant for Skin Problems. Powered by a vision model and a reliable RAG system.
I'm developing a personalized LLM model using LLAMA 3 to create tailored emails based on user data. This project aims to enhance communication efficiency by generating personalized content, leveraging advanced NLP techniques for more meaningful and relevant interactions.
Llama.cpp é uma biblioteca desenvolvida em C++ para a implementação eficiente de grandes modelos de linguagem, como o LLaMA da Meta. Otimizada para rodar em diversas plataformas, incluindo dispositivos com recursos limitados, oferece performance, velocidade de inferência e uso eficiente da memória, essenciais para a execução de grandes. modelos
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