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  • substrate - npm
    The official SDK for the Substrate API Latest version: 120240617 1 9, last published: 2 months ago Start using substrate in your project by running `npm i substrate` There are no other projects in the npm registry using substrate
  • API Reference | Substrate
    Use "hosted" to return an image URL hosted on Substrate You can also provide a URL to a registered file store If unset, the image data will be returned as a base64-encoded string
  • Substrate Python SDK - PyPI
    Substrate is a powerful SDK for building with AI, with batteries included: language models, image generation, built-in vector storage, sandboxed code execution, and more To use Substrate, you simply connect tasks, and then run the workflow
  • API | Substrate
    The Substrate API consists of a carefully curated, well-abstracted library of components: nodes Nodes Nodes (opens in a new tab) are designed following these principles:
  • Versioning | Substrate
    When backwards-incompatible changes are made to the API, we release a new API version, in the form of a date string, and update the Changelog Each Substrate SDK release is pinned to an API version SDK versions follow semantic versioning with the following components:
  • SubstrateLabs substrate-examples: Substrate examples - GitHub
    Substrate Python and TypeScript examples Basics – Get started with basic examples Techniques – Prompting techniques (Tree of Thought, Mixture of Agents), RAG techniques, and more Tutorials – Integrated use cases, like multi-turn conversations (chat)
  • An Easy way to get started programming with LLMs
    To follow along you can download the Substrate SDK and get an account which comes with a bunch of free credit The basic setup is to npm install substrate, then open up a new JavaScript file Let's start with a basic interaction with an LLM For now, we don't have to care about the specific model - we just want to get something working
  • Exploring the Power of Substrate AI - Maksym Lohvinenko
    Substrate is designed for building large, multi-step AI workloads It provides an elegant abstraction layer, connecting nodes from a curated library that includes optimized ML models, file and vector storage, a code interpreter, and logical control flow
  • SubstrateLabs substrate-python: Substrate Python SDK - GitHub
    Substrate is a powerful SDK for building with AI, with batteries included: language models, image generation, built-in vector storage, sandboxed code execution, and more To use Substrate, you simply connect tasks, and then run the workflow





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