Interactive Simulacra News Today

I speak with Joon Sung Park, a leading mind in AI, about the future of generative AI agents. We discuss how LLMs are transforming AI agent design, survey the challenges we’ve yet to solve, and pinpoint the most promising problem spaces for founders to tackle.

5 AI Trends You Need to Know in 2024 - Industry Tap

Imagine a world where artificial intelligence can mimic human behavior so closely that it's hard to tell the difference between a virtual character and a

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al. - GitHub - WooooDyy/LLM-Agent-Paper-List: The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Each agent in the SmallVille environment is equipped with a memory stream, a comprehensive database that records the agent's experiences.

Never before in my life had I seen so many smart people working on the same goal: making LLMs better. After talking to many people working in both industry and academia, I noticed the 10 major research directions that emerged. The first two directions, hallucinations and context learning, are probably the most talked about today. I’m the most excited about numbers 3 (multimodality), 5 (new architecture), and 6 (GPU alternatives).

A deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize. - GitHub - a16z-infra/ai-town: A deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.

Generative Agents: Interactive Simulacra of Human Behavior - GitHub - joonspk-research/generative_agents: Generative Agents: Interactive Simulacra of Human Behavior

Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a powerful general problem solver. Agent System Overview In a LLM-powered autonomous agent system, LLM functions as the agent’s brain, complemented by several key components:

A group of researchers at Stanford University and Google have created a miniature RPG-style virtual world similar to The Sims, where 25 characters, controlled b