AutoGPT VS FastChat

Define agency. Does AutoGPT or BabyAGI fit the definition?

This leap is evident in projects like BabyAGI and AutoGPT, showcasing how such agents can prioritize and execute tasks based on a pre-defined objective and the results of previous actions, such as sales prospecting or ordering pizza.

A system and a user message are constructed from the task given by the user in code and passed to the LLM as input.

A: How much do you know? If you can easily read code (in this example Python, but this will still benefit anyone who can read code), you should check out Auto-GPT. If you are looking to explore different options, check out this doc on AI Agents.

Also I think most agents I have seen have implemented some form of long-short term memory. Why does it say autogpt doesnt support it? https://github.com/Significant-Gravitas/Auto-GPT/tree/master/autogpts/autogpt/autogpt/memory

In my newest experiment, I try out MetaGPT, which is supposed to be better than AutoGPT according to MetaGPT's paper.

In my opinion the most interesting Agents: Auto-GPT Github: https://github.com/Significant-Gravitas/Auto-GPT BabyAGI Github: https://github.com/yoheinakajima/babyagi Voyager Github: https://github.com/MineDojo/Voyager / Paper: https://arxiv.org/abs/2305.16291 I would also add: ChemCrow: Augmenting large-language models with chemistry tools Github: https://github.com/ur-whitelab/chemcrow-public/ Paper: https://arxiv.org/abs/2304.05376

Check out the new Re-Arch README and ARCHITECTURE_NOTES.

gpt2-chatbot isn't the only "mystery model" on LMSYS. Another is "deluxe-chat".

When asked about it in October last year, LMSYS replied [0] "It is an experiment we are running currently. More details will be revealed later"

One distinguishing feature of "deluxe-chat": although it gives high quality answers, it is very slow, so slow that the arena displays a warning whenever it is invoked

[0] https://github.com/lm-sys/FastChat/issues/2527

FastChat

How does it compare with something like FastChat? https://github.com/lm-sys/FastChat

Feature set seems like a decent amount of overlap. One limitation of FastChat, as far as I can tell, is that one is limited to the models that FastChat supports (though I think it would be minor to modify it to support arbitrary models?)

Looks like the Vicuna repo is Apache 2.0 also[1].

What's the interpretation of copyright law that would prevent the code being Apache 2.0 based on the source of the fine-tuning dataset?

[1] https://github.com/lm-sys/FastChat

Check how to start with FastChat. Support FastChat on GitHub ⭐

For something a little heavier but much more robust in terms of features/functionality I've been enjoying FastChat: https://github.com/lm-sys/FastChat

It allows you to plug in different backends so that you can use OpenAI compatible clients with various LLM's, selfhosted or otherwise.