It is designed to provide a flexible framework to define and deploy large language model apps without having to write any execution code.
Dust.tt is a tool in the Text & Language Models category of a tech stack.
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What are some alternatives to Dust.tt?
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
It allows you to run open-source large language models, such as Llama 2, locally.
OpenAI, Cohere are some of the popular tools that integrate with Dust.tt. Here's a list of all 2 tools that integrate with Dust.tt.