Cohere Command
Enterprise-grade LLM for business applications
38 tools found
Enterprise-grade LLM for business applications
An open-weight model that competes with LLaMA, offering a balance between performance and efficiency. Mistral can run on local servers or personal hardware for high-performance, private deployment of language models.
Open Source LLM Native Mock API Test Engine
Highly optimized LLM inference engine in pure C++
Flowise is a powerful open-source low-code tool designed for developers to build customized Large Language Model (LLM) orchestration flows and AI agents. With Flowise, developers can easily extend and
Dify.ai is an open-source platform for developing large language model (LLM) applications, capable of building agents, orchestrating AI workflows, managing models, and utilizing a Retrieval-Augmented
Scoopika is a leading open-source platform revolutionizing the development of multimodal Large Language Model (LLM) applications. It simplifies the creation of AI agents capable of interacting with te
Snowflake's new Cortex platform offers a streamlined solution for developing Large Language Model (LLM) applications with ease, speed, and security. Leveraging Snowflake's robust architecture, Cortex
A framework for developing applications powered by language models.
Open-source LLMOps platform for prompt management, LLM evaluation, and observability. Build, evaluate, and monitor production-grade LLM applications. [#opensource](https://github.com/agenta-ai/agenta)
Build, compare, and deploy large language model apps with Scale Spellbook.
Open Interpreter is an innovative platform that allows Large Language Models (LLMs) to execute code directly on your computer, enabling the automation and completion of various tasks. With 49,000 star
Klu is an all-in-one LLM App Platform that allows users to experiment, version, and fine-tune GPT-4 Apps. It supports collaborative prompt engineering, enabling teams to explore, save, and prototype c
MonsterGPT is a chat-driven AI agent provided by MonsterAPI for fine-tuning and deploying large language models (LLMs). It simplifies the process by allowing users to use simple commands, removing the