来自北京大学、上海 AI Lab 和加州大学圣巴巴拉分校的十位研究者近期发布了一篇关于 in-context learning 的综述论文。 随着语言模型和语料库规模的逐渐扩大，大型语言模型（LLM）展现出更多的潜力。近来一些研究表明，LLM 可以使用 in-context learning（ICL）执行一 ...

Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. You would be hard-pressed to say that one or the other is ...

Dwarkesh Patel interviewed Jeff Dean and Noam Shazeer of Google and one topic he asked about what would it be like to merge or combine Google Search with in-context learning. It resulted in a ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...

What if the solution to skyrocketing API costs and complex workflows with large language models (LLMs) was hiding in plain sight? For years, retrieval-augmented generation (RAG) has been the go-to ...