Generative AI workflows and hacks 2024

1 this

2 API clients

Want a decent UX while using your own (possibly better-secured) API endpoint? Here are some options: NB, they all claim to keep your API key secret, but you should verify this yourself.

• ChatGPTNextWeb/ChatGPT-Next-Web: (Free. This one seems to work well) If you trust the maintainers, you can use the install deployed on the web
• lobehub/lobe-chat: 🤖 (Free)
• MindMac (expensive native macos app)
• ai-genie/chatgpt-vscode: Your best AI pair programmer in VS Code (Could not make this work)

The next two I have heard recommended but have not tested:

• ShipBit/slickgpt

• JacksonKearl/ai-book

• [2307.15936] A Theory for Emergence of Complex Skills in Language Models

3 Multi-agent LLMS

Autogen

• AutoGen Studio: Interactively Explore Multi-Agent Workflows | AutoGen

• autogen/autogen at main · microsoft/autogen

• RUCAIBox/LLMSurvey: The official GitHub page for the survey paper A Survey of Large Language Models. / [2303.18223] A Survey of Large Language Models

4 Misc

• Calculating Sunflower Oil Production (ChatGPT psychosis)

• Welcome to LangChain — 🦜🔗

  Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you are able to combine them with other sources of computation or knowledge.

  This library is aimed at assisting in the development of those types of applications.