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Dust

Dust

Dust

Build custom Large Language Model apps on top of your company data. Let Dust assist you with the details of working with LLMs as you adapt them to your specific needs.

Pricing

Free

Tool Info

Rating: N/A (0 reviews)

Date Added: November 22, 2022

Categories

Low-Code/No-CodeDeveloper Tools

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Description

Dust is a tool that has been designed to help developers and engineers accelerate the deployment of large language models. This platform is the result of years of experience working with these models, and it has been created with one goal in mind: to make the process of deploying large language models as easy and efficient as possible.

This tool is perfect for anyone who is looking to build and deploy large language models quickly and easily. Whether you are a developer, engineer, or data scientist, this platform has everything you need to get started. With its intuitive interface and powerful features, you can design and deploy your language models in no time.

One of the key features of this platform is its prompt engineering capabilities. This feature allows you to quickly and easily create prompts for your language models, making it easier to train and deploy them. Additionally, this tool has been re-imagined to make it more user-friendly and intuitive, so you can focus on building your language models without getting bogged down in technical details.

Overall, Design and Deploy Large Language Model Apps is a must-have tool for anyone who is looking to build and deploy large language models quickly and efficiently. With its powerful features and intuitive interface, you can get started right away and start building the language models you need to take your projects to the next level.

Key Features

  • Build custom Large Language Model apps
  • Prompt engineering capabilities for quick and easy creation of prompts for language models
  • Access to GPT-4 and internal knowledge
  • Secure AI assistant with company knowledge
  • Share prompts and conversations with the team
  • Assistance with working with LLMs
  • Makes the process of deploying large language models easy and efficient

Use Cases

  • Software development companies that specialize in natural language processing (NLP) applications
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