Generative AI workflows and hacks 2024

March 23, 2024 — December 12, 2024

economics
faster pussycat
innovation
language
machine learning
neural nets
NLP
stringology
technology
UI
Figure 1

I will try to synthesise LLM research elsewhere. This is where I keep ephemeral notes and links.

1 Standards

  • Introducing the Model Context Protocol  Anthropic

  • 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.

2 Chat API GUIs

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. Stealing API keys, or even better API keys plus confidential LLM queries, is a high-value target for attackers.

Some are listed in reorx/awesome-chatgpt-api, for web and desktop.

My experience thus far is that they are all terrible for my purposes. I would personally like to point a chat client at an API endpoint. I would like to switch endpoints occasionally (e.g. because I want to use different models). I would like to have a nice UX. I don’t need to share anything, I don’t want to require a horrible install process. I would like error messages to be clear and simple. Optional: I would like to persist chats.

This feature combination is unavailable. Read on for various options.

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

3 Multi-agent LLMS

4 Surveys

Figure 2

5 Social history

6 Misc

7 Running locally

First, get a fancy fast computer. Then:

8 Meta

9 Inputs