Google DeepMind research reveals a fundamental architectural limitation in Retrieval-Augmented Generation (RAG) systems related to fixed-size embeddings. The research demonstrates that retrieval performance degrades as database size increases, with theoretical limits based on embedding dimensionality. They introduce the LIMIT benchmark to empirically test these limitations and suggest alternatives like cross-encoders, multi-vector models, and sparse models.
An encyclopedia where everything can be an article, and every article is generated on the spot. Articles are often full of hallucinations and nonsense, especially with lower parameter models. The project uses Ollama and Go to generate content.
Fernando J. Corbató was a Professor Emeritus at MIT, renowned for his pioneering work in the development of time-sharing and resource-sharing computer systems. He was instrumental in creating the Compatible Time-Sharing System (CTSS) and Multics, both influential systems that laid the groundwork for modern operating systems. Corbató's contributions have been widely recognized through numerous awards and fellowships, including the Turing Award (1990) and the Computer Pioneer Award (1982). He was a long-time member of the MIT Computation Center and the Laboratory for Computer Science, and held leadership positions within the department. His work significantly impacted the field of computer science and the evolution of computing technology.
A forum dedicated to bug-lispm, a project related to the Lisp Machine. The page lists recent threads with their creation dates, titles, and number of posts/days spanned.
This GitHub repository directory contains resources for evaluating Large Language Models (LLMs), including a Jupyter Notebook demonstrating how to use LLM Arena as a judge and a Python script for the same purpose. It also includes a README file with instructions on how to view the notebook if it doesn't render correctly on GitHub.
An Apple study shows that large language models (LLMs) can improve performance by using a checklist-based reinforcement learning scheme, similar to a simple productivity trick of checking one's work.
A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.
Nvidia’s NeMo Retriever models and RAG pipeline make quick work of ingesting PDFs and generating reports based on them. Chalk one up for the plan-reflect-refine architecture.
An extremely lightweight universal grammar implementation with provable recursion, based on Chomsky's Minimalist Grammar theory, fitting in under 50kB with zero runtime dependencies. It includes a probabilistic language model extension and formal verification.
SRE.ai, a Y Combinator-backed startup, has raised $7.2 million to develop AI agents that automate complex enterprise DevOps workflows, offering chat-like experiences across multiple platforms.
