AI

The AI environments are each tailored for specific AI tools and SDKs. They include tools for general AI development like PyTorch, as well as those specifically designed for working with AI models and tools from Anthropic, Cohere, Fireworks, Langchain, Mistral AI, OpenAI, Perplexity, and Replicate. Each environment provides the necessary clients, tools, and libraries for efficient development and interaction with the respective AI models and APIs.

EnvironmentDescriptionQuickstart

ai

Environment equipped with AI tools and SDKs like AlphAI, OpenAI/Anthropic/Cohere SDKs, Scikit Learn, pandas, and numpy.

anthropic

Environment equipped with the SDKs and tools for working with the Anthropic AI models like Claude, a powerful tool for natural language processing tasks.

cohere

Environment set up with the SDKs and tools for working with the Cohere AI model, a language model that can generate human-like text.

fireworks

Environment equipped with Fireworks AI tools, designed for serving generative AI models and tasks.

langchain

Environment tailored for working with the Langchain package, including OpenAI libraries and Google tools.

mistralai

Environment equipped with the Mistral AI SDKs and tools for generating high-quality text with their models and API.

openai

Environment for OpenAI models and API such as GPT3, ChatGPT, including PyTorch, OpenAI Python library, and Scikit Learn.

perplexity

Environment for using Perplexity's generative AI models and LLM inferencing with pplx-ai.

replicate

Environment set up for using Replicate's AI and API for deploying custom models, running inference, and fine-tuning open-source models.