Model Management 4
Terracotta simplifies LLM experimentation with a unified platform for training and evaluation.
Terracotta is a platform designed to simplify and accelerate the process of experimenting with Large Language Models (LLMs). It streamlines the training and evaluation of LLMs by providing a unified interface for managing models, data, and evaluations. Terracotta aims to supercharge the LLM iteration process, making it more intuitive and efficient.
Native app for local AI model experimentation without complex setup or GPU.
Local AI Playground is a native application designed to simplify the process of experimenting with AI models locally. It allows users to download and run inference servers without needing a full-blown ML stack or a GPU. The application supports CPU inferencing and model management, making AI experimentation accessible and private.
Open-source version control for data science and machine learning projects.
Data Version Control (DVC) is an open-source version control system designed for Data Science and Machine Learning projects. It provides a Git-like experience to organize data, models, and experiments, enabling reproducible workflows and collaboration.
AI developer platform for training, fine-tuning, managing, and tracking AI models and applications.
Weights & Biases is the leading AI developer platform to train and fine-tune models, manage models from experimentation to production, and track and evaluate GenAI applications powered by LLMs. W&B Prompts is a suite of LLMops tools to dramatically improve prompt engineering workflows and unlock deeper understanding of your LLMs. W&B Weave helps build agentic AI applications.
