Auto-GPT VS babyagi

A few notable examples of these leaps in AI technology include GPT-3.5, GPT-4, ChatGPT, Midjourney, Dall-e 2, AutoGPT, and Github Next.

Why did you clone git clone https://github.com/Torantulino/Auto-GPT.git instead of https://github.com/Significant-Gravitas/Auto-GPT.git Does it matter?

You can also use the API key with tools such as TypingMind and Auto-GPT.

[https://github.com/torantulino/auto-gpt/issues/475

git clone --branch stable https://github.com/Torantulino/Auto-GPT.git $ git pull $ pip3 install -r requirements.txt

Define agency. Does AutoGPT or BabyAGI fit the definition?

BabyAGI: github.com/yoheinakajima/babyagi

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

People also have been trying to build multi-agent and task-planning systems. MS research in Asia seems to produce decent results with Task Matrix and HuggingGPT. Similar things have been tried in the form of Auto-GPT and BabyAGI , but both projects are setting their goal so high that they may not achieve the at all, and they are likely to see a complete rework when multi-modal solutions become widespread.

Joke's on you, /u/ILoveThisPlace is actually just a bot responding using the BabyAGI script, we've all been had!

BabyAGI AI-Powered Task Management for OpenAI + Pinecone or Llama.cpp

Yes, we haven't seen anything like that yet. But we do see the people trying to build these things (see AutoGPT, babyagi, ChaosGPT, etc) today, and with the last few years of advancement in LLMs they now have the fundamental building blocks to succeed in the near term (say the next 5 years) rather than in some imaginary far future.

You should check out some of the projects that combine LangChain with LLMs to automate this process like BabyAGI (https://github.com/yoheinakajima/babyagi) and AutoGPT (https://github.com/Significant-Gravitas/Auto-GPT). They were originally designed around ChatGPT models but have expanded to include llamacpp as an alternative. These provide your language models with the ability to save long term memory, a goal-oriented task list and extra functionality like surfing the web and, in some cases, creating and modifying files on disk.