Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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Discover amazing ML apps made by the community.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
Test your ability to tell if an image is human or computer generated.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Enriches training datasets with features from public and community shared data sources.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Minimize LLM token complexity to save API costs and model computations.
Build AI agents that ship to production. User-scoped execution, rich UI components, and quota management built-in.