AI language model workflow - AI tools

Agentflow is an AI agent framework that allows users to create and execute AI agents and workflows using natural language and Markdown. It offers flexible AI integrations, a powerful tool ecosystem, and a developer-friendly CLI.

• Free

Nemotron AI offers advanced language models (LLMs) with exceptional understanding, reasoning, and generation capabilities, supporting multilingual tasks and extended context windows.

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AI Studio is a HubSpot integration that enhances workflow and chatflow capabilities by incorporating major language models like GPT-4, Claude 3, Gemini Pro 1.5, and CoHere.

• Freemium

01.AI develops foundational AI models and enterprise platforms like Yi and Wanzhi, aiming to make AGI accessible and enhance productivity through AI 2.0 innovations.

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AI Models is a comprehensive directory offering access to a wide range of open-source AI models and machine learning tools, fostering an open-source AI community.

• Free

VESSL AI provides a full-stack cloud infrastructure for AI, enabling users to train, deploy, and manage AI models and workflows with ease and efficiency.

• Usage Based

EleutherAI is a research institute focused on advancing and democratizing open-source AI, particularly in language modeling, interpretability, and alignment. They train, release, and evaluate powerful open-source LLMs.

• Free

Neuralfinity enables users to create datasets, train generative AI models like LLMs and VLMs from scratch, and evaluate their performance. It provides an end-to-end platform for model development, focusing on domain-specific accuracy and cost efficiency.

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LangDB is an enterprise AI gateway designed to secure, govern, and optimize AI traffic across over 250 LLMs via a unified API. It helps reduce costs and enhance performance for AI workflows.

• Freemium
• From 49$

/ML offers a full-stack AI infrastructure for serving large language models, training multi-modal models on GPUs, and hosting AI applications such as Streamlit, Gradio, and Dash, while providing cost observability.

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