Hacker News
- List of Autonomous LLM Agent Projects https://andykonwinski.com/2023/03/30/list-of-autonomous-agent-work.html 0 comments
Linked pages
- https://openai.com/blog/chatgpt-plugins 1314 comments
- [2303.12712] Sparks of Artificial General Intelligence: Early experiments with GPT-4 https://arxiv.org/abs/2303.12712 911 comments
- [2304.03442] Generative Agents: Interactive Simulacra of Human Behavior https://arxiv.org/abs/2304.03442 280 comments
- [2303.11366] Reflexion: an autonomous agent with dynamic memory and self-reflection https://arxiv.org/abs/2303.11366 189 comments
- GitHub - Torantulino/Auto-GPT: An experimental open-source attempt to make GPT-4 fully autonomous. https://github.com/Torantulino/Auto-GPT 175 comments
- [2302.04761] Toolformer: Language Models Can Teach Themselves to Use Tools https://arxiv.org/abs/2302.04761 153 comments
- Perplexity AI https://www.perplexity.ai 93 comments
- [2205.11916] Large Language Models are Zero-Shot Reasoners https://arxiv.org/abs/2205.11916 55 comments
- Discover the World of GPT-Plugins and AI-Agents 🚀 | getit.ai https://www.getit.ai/gpt-plugins 4 comments
- GitHub - yoheinakajima/babyagi https://github.com/yoheinakajima/babyagi 3 comments
- Jurassic-X: Crossing the Neuro-Symbolic Chasm with the MRKL System https://www.ai21.com/blog/jurassic-x-crossing-the-neuro-symbolic-chasm-with-the-mrkl-system 1 comment
- OpenAPI Specification - Version 3.0.3 | Swagger http://swagger.io/specification/ 0 comments
- Dust - Design and Deploy Large Language Models Apps https://dust.tt/ 0 comments
- [2211.10435] PAL: Program-aided Language Models https://arxiv.org/abs/2211.10435 0 comments
- ReAct: Synergizing Reasoning and Acting in Language Models – Google AI Blog https://ai.googleblog.com/2022/11/react-synergizing-reasoning-and-acting.html 0 comments
- Yohei on Twitter: "🔥1/8 Introducing "🤖 Task-driven Autonomous Agent" An agent that leverages @openai's GPT-4, @pinecone vector search, and @LangChainAI framework to autonomously create and perform tasks based on an objective. "Paper": https://t.co/MT5WxB0Ebo [More 🔽] https://t.co/9BmbuJBAjl" / Twitter https://twitter.com/yoheinakajima/status/1640934493489070080?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1640934493489070080%7Ctwgr%5E195dba46dc1cfeef8e8ea9e2a3f75a1e83553f14%7Ctwcon%5Es1_&ref_url=https%3A%2F%2Fwww.redditmedia.com%2Fmediaembed%2F125dt3w%3Fresponsive%3Dtrueis_nightmode%3Dtrue 0 comments
- Andrej Karpathy on Twitter: "Next frontier of prompt engineering imo: "AutoGPTs" . 1 GPT call is just like 1 instruction on a computer. They can be strung together into programs. Use prompt to define I/O device and tool specs, define the cognitive loop, page data in and out of context window, .run()." / Twitter https://twitter.com/karpathy/status/1642598890573819905 0 comments
- Self-Refine: Iterative Refinement with Self-Feedback https://selfrefine.info/ 0 comments
- [2303.17651] Self-Refine: Iterative Refinement with Self-Feedback https://arxiv.org/abs/2303.17651 0 comments
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