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BabyAGI Reviews and details

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  • BabyAGI Landing page
    Landing page //
    2023-10-15

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BabyAGI: A Real First Test

BabyAGI UI | Run BabyAGI 👶 Locally | Super Easy SETUP

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about BabyAGI and what they use it for.
  • AGI has, in some sense, been achieved: Tell me why I am wrong
    Define agency. Does AutoGPT or BabyAGI fit the definition? Source: 5 months ago
  • What innovations/discoveries have come out because/since the release of LLMS since the gain of popularity in the last 5ish months?
    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. Source: 12 months ago
  • autogpt-like framework?
    BabyAGI AI-Powered Task Management for OpenAI + Pinecone or Llama.cpp. Source: about 1 year ago
  • What’s with the fear?
    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. Source: about 1 year ago
  • Could an AI learn things or discover things humans have not been able to understand or not discovered yet?
    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... Source: about 1 year ago
  • Capabilities and alignment of LLM cognitive architectures by Seth Herd
    Scaffolded[1], "agentized" LLMs that combine and extend the approaches in AutoGPT, HuggingGPT, Reflexion, and BabyAGI seem likely to be a focus of near-term AI development. LLMs by themselves are like a human with great automatic language processing, but no goal-directed agency, executive function, episodic memory,  or sensory processing. Recent work has added all of these to LLMs, making language model... Source: about 1 year ago
  • Auto-GPT free alternative
    You could try out https://github.com/yoheinakajima/babyagi with the illama model. Should be similar in concept. Source: about 1 year ago
  • BabyAGI: An Autonomous and Self-Improving Agent
    @dang might be worth linking to Yohei's original repo, which is definitely HN front page worthy: https://github.com/yoheinakajima/babyagi. This repo is not just a strict fork though, Oliveira seems to be working on making BabyAGI more autonomous. - Source: Hacker News / about 1 year ago
  • Integration with BabyAGI
    I've recently been getting into running models locally. I've found Oobabooga to be rather useful, but I've also had some difficulties. One of the things I would like to do is to create an integration between Oobabooga and BabyAGI(https://github.com/yoheinakajima/babyagi) so that it uses the local model hosted through Oobabooga for processing. The idea being finding a way to more effectively utilize CUDA enabled... Source: about 1 year ago

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This is an informative page about BabyAGI. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.