Sublayer是一個平台,將生成式人工智能引入產品開發過程中。它幫助快速構建高質量軟件,使用專門從事軟件開發的AI代理,相比傳統軟件開發服務能夠減少成本。通過Sublayer,項目擁有者可以通過在每一個步驟中審查、修改和批准工作來保持控制。
要使用Sublayer,首先建立現有的產品管理工作流程,輸入功能描述、用戶故事和錯誤。然後,Sublayer的AI代理將開始提供功能代碼和自動化測試套件。Sublayer的工程師會與AI代理合作,確保代碼符合您的標準。作為項目擁有者,您可以審查、修改和支持任何工作,以保持控制。保持定期更新和進度報告,以保持充分了解。
以下是 Sublayer Discord:https://discord.gg/G8eccUfEHy。 如欲了解更多Discord 訊息,請點選此處(/tw/discord/g8eccufehy) 。
Sublayer 公司名稱:Sublayer, Inc. 。
Sublayer Twitter連結:https://twitter.com/sublayerapp
Sublayer Github連結:https://github.com/sublayerapp/sublayer
社群媒體聆聽
Local LLM with Llamafile
For step by step instructions: docs.sublayer.com/docs/guides/running-local-models-with-llamafile Learn how to start and connect a locally run Llama3 LLM using Llamafile to a ruby project.
Run your own code with Llama3.1 and ollama locally
For full instructions go to: docs.sublayer.com/docs/guides/running-local-llama31-with-ollama Here we learn how to run llama3.1 locally using ollama, and use llama3.1 through the api using Sublayer. We'll show how to swap out gpt-4 to use llama3.1 in an existing project called "historical_event_finder". And then we'll create a new Dr. Seuss Styled Poem Maker from scratch that uses our locally running llama3.1 model.
Sublayer AI Framework 0.2.6 Release
Release video for the Sublayer gem 0.2.6 release. In this release we've added: Support for the latest Gemini models using structured outputs New Sublayer project templates Generate Sublayer Generators, Agents, and Actions right from the command line. In this video I walk through using these new features to create a CLI-based command line command generator. https://sublayer.com Docs: https://docs.sublayer.com
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