Reactive Machines

We learn about two efficient sub-linear proximity proofs (dsIPPs): proofs that are very fast to generate, and can be used…

Incremental video search requires a higher ranking after each keystroke, where the intent is often not well-defined (eg, 1–3 letter…

Can a large-scale linguistic model (LLM) improve on code generation using only its raw outputs, without verifier, teacher model, or…

Document processing in real estate is complex and highly manual, impacting critical business decisions at scale, making it ripe for…

Retrieval-augmented generation (RAG) improves large-scale linguistic models (LLMs) with external knowledge but still suffers from long-term conditions and the integration…

Large-scale Language Models (LLMs) are increasingly used to automatically solve real-world tasks. A key ingredient of this is the LLM…

Generative generative models (eg, distribution models) typically operate on compressed latent spaces to measure training efficiency and sample quality. Correspondingly,…

Your prospects leave trails across multiple sources: a founder asks “What should I use for X?” in r/SaaS while their…

Manufacturing quality assurance (QA) workflows require more than performing individual tests. You should organize tests into regression suites that work…

Active agents that anticipate user needs and perform tasks automatically hold great promise as digital assistants, yet the lack of…