A platform that enables developers to run and deploy open-source AI models via a cloud API, facilitating seamless integration of machine learning capabilities into applications.
An open-source AI agent that integrates memory and deliberation capabilities, enabling context-aware and thoughtful responses.
An AI-driven platform offering advanced tools for building, deploying, and managing machine learning models and AI applications.
An open-source platform providing observability for developers working with Large Language Models (LLMs), offering tools for logging, monitoring, and debugging.
An open-source multi-agent framework that automates data science pipelines with minimal input.
An LLM Optimization Studio that empowers AI teams to ship faster with quality assurance at every step, offering tools for monitoring, evaluating, and optimizing large language model applications.
An open-source, self-programming AI system utilizing large language models to autonomously document, search, and write code, advancing towards artificial general intelligence.
A declarative framework for building Large Language Model (LLM) applications, offering reusable and composable components.
A Python library that simplifies the creation and management of structured prompts for large language models.
A lightweight open-source framework for building large language model (LLM)-based agents.
An AI-powered autonomous machine learning engineer capable of developing, deploying, and maintaining machine learning models without human intervention.
An AI platform offering advanced tools for building, deploying, and managing machine learning models and AI applications.
