Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

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 ...

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 ...

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 ...