UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.
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LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
LM Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
Mały Modelarz is a magazine publishing features, commentary and specialist editorial coverage in Poland.
A chat LLM based on the state-space model architecture.
A model-agnostic visual debugging tool for machine learning.
Helps teams build, deploy, observe or operate machine-learning systems.
Small Language Model tailored for edge devices.
A platform for deploying and serving machine learning models.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
MiMo Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
MiniMax AI helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Mistral Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
Version and deploy your ML models following GitOps principles.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.