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Rapidfireai: RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Rapidfireai. This is an automatic list. We have not written a researched verdict for Rapidfireai yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
AI Engineer HQ is an eight week live AI engineering accelerator run by MasterDexter and taught by Himanshu Ramchandani, an AI architect and Microsoft MVP based in India. Participants write Python and build four deployed AI systems during the cohort, covering retrieval augmented generation, agents built with LangGraph, ...
An open source framework for research in Embodied-AI from AI2.
AllenAct is an open source learning framework for Embodied AI research, built and backed by the Allen Institute for AI (AI2), a non profit research institute. It is designed for training and evaluating agents that perceive and act inside simulated environments, and it decouples tasks from environments so researchers ca...
Incremental engine for long horizon agents Star if you like it!
CocoIndex is an open source incremental data framework, with a Python API, for keeping the context that AI agents read continuously fresh. You declare the desired state of a target store, and the engine watches the sources, computes what changed and reconciles only that delta. When one file changes, one row is resynced...
An open source library for deep learning end-to-end dialog systems and chatbots.
DeepPavlov is an open source conversational AI framework for building chatbots, virtual assistants and complex dialogue systems, and for research in natural language processing. The core DeepPavlov Library provides pretrained deep learning models, including BERT based models, for tasks such as text classification, name...
Flower: A Friendly Federated AI Framework
Flower is an open source framework for federated AI, in which models are trained across data that stays where it already lives rather than being pooled in one place. The project supplies the libraries and infrastructure to define a training strategy, connect participating nodes and run federated training and fine tunin...
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Happy Transformer is a Python package that makes it easier to fine tune and run inference with NLP transformer models. It wraps common model families behind a small, consistent interface so developers can try a model or train it on their own data without writing the surrounding boilerplate. The documentation lists the...