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GitHub - danielmiessler/fabric: fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

Jul 07, 2024 - news.bensbites.com
Fabric is an open-source framework designed to augment human capabilities using AI. It provides a collection of prompts, referred to as Patterns, that can be used to apply AI to everyday tasks. These tasks range from summarizing academic papers and extracting key points from videos to creating AI art prompts and improving documentation. The framework also allows users to chain together Patterns to create more advanced functionality, and it includes a server for hosting Patterns. Fabric is also command-line native, allowing users to directly reference and edit individual Patterns. The project is set to switch to Go in a few weeks to avoid installation issues with Python.

Fabric also offers a client-side app, Looms, that calls a specific Pattern hosted by a Mill (server). The client connects directly to OpenAI using the input given and the Fabric pattern used. Users can also create their own Fabric Mill, or personal AI infrastructure, using the provided code. Additionally, Fabric has incorporated PraisonAI, which creates AI agents to perform tasks. Helper tools

Key takeaways:

  • Fabric is an open-source framework designed to augment human capabilities using AI. It breaks down problems into individual components and applies AI to each of them.
  • The framework includes Patterns, which are granular AI use cases or prompts, and Stitches, which are chained Patterns that create advanced functionality. Users can also create their own Custom Patterns.
  • Fabric is command-line native and can directly reference and edit individual Patterns. It also allows users to build their own server and personal AI infrastructure.
  • The project is set to switch to Go in a few weeks to avoid installation issues with Python and to improve installation simplicity and speed.
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