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Open challenges in LLM research

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). ....

Republic Of , Dan Grover , Jeremy Howard , Graphcore Ipus , Google Tpus , Linus Lee , Nvidia Ne , Situatedqa Zhang Choi , Jerry Liu , Natural Questions , Retrieval Augmented Generation , How Language Models Use Long Contexts , Model Compression , Designing Machine Learning Systems , Efficiently Modeling Long Sequences , Structured State Spaces , Monarch Mixer , Ayar Labs , Luminous Computing , Generative Agents , Interactive Simulacra , Human Behavior , Reinforcement Learning , Human Preference ,

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.

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. ....

Github Codespaces , Generative Agents , Interactive Simulacra ,

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

Generative Agents: Interactive Simulacra of Human Behavior - GitHub - joonspk-research/generative agents: Generative Agents: Interactive Simulacra of Human Behavior ....

Maria Lopez , Josephc Obrien , Michaels Bernstein , Klaus Mueller , Carriej Cai , Isabella Rodriguez , Meredith Ringel Morris , Michael Terry , Philip Guo , Percy Liang , Lindsay Popowski , Behavioral Sciences , A Base Simulation , Generative Agents , Interactive Simulacra , Human Behavior , Load Agent , Joon Sung Park , Advanced Study ,

LLM Powered Autonomous Agents

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: ....

Shinn Labash , Toolformer Schick , Prompt Engineering , Planning Domain Definition Language , World Env , Alfworld Env , Algorithm Distillation , Term Memory , Working Memory , Inner Product Search , Locality Sensitive Hashing , Approximate Nearest Neighbors Oh Yeah , Hierarchical Navigable Small World , Scalable Nearest Neighbors , Tool Augmented Language Models , Available Task List , Chat History , Candidate Models , User Input , Task Planning , Model Selection , Model Assignment , Task Execution , Search Engine , Dliberate Problem Solving , Large Language Models ,

Artificial Intelligence: Lawsuits Already Underway

Artificial Intelligence: Lawsuits Already Underway
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