Generative Agents News Today

Three perspectives on the most viral fringe of generative AI this year: Simulative AI!

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

Our highest signal selection of the most relevant items for AI Engineers

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

Over the past two weeks, there has been a massive increase in using LLMs in an agentic manner. Specifically, projects like AutoGPT, BabyAGI, CAMEL, and Generative Agents have popped up. The LangChain community has now implemented some parts of all of those projects in the LangChain framework. While researching and

Autonomous agents are expected to revolutionise industries and touch millions of lives. However, there’s more to these AI tools than meets the eye.

Generative agents are computational software agents that simulate human behaviour with the help of artificial intelligence.

A new experiment sees AI characters exhibit ‘believable human behaviour’ as they go about their day-to-day lives – here’s everything you need to know