First screen, captured . Open the video.
Full page
Captured . Click for the whole screenshot.
Looks similar
Faster Retrieval for Better, More Efficient RAG(machinelearning.apple.com)
221 points by zerop | 38 comments
Apple Machine Learning Research post on learned support functions (SupportNet, KeyNet) that speed up maximum inner product search for RAG retrieval.
Log-Linear Attention(arxiv.org)
19 points by sva_ | 3 comments
Next-Level Benchmarking Overfitting – Thomas Neumann(databasearchitects.blogspot.com)
51 points by artrax | 9 comments
Thomas Neumann's Database Architects blog post critiquing GenDB-V's AI-generated database engine for overfitting TPC-H via precomputation and hard-coded dbgen knowledge.
Related stories
A Design Space Exploration of Async/Await(cel.cs.brown.edu)
431 points by wcrichton | 124 comments
Brown University Cognitive Engineering Lab blog post summarizing a paper comparing how async/await designs differ across programming languages.
Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)
549 points by chmaynard | 134 comments
Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.
Train Your Own LLM from Scratch(github.com)
376 points by kristianpaul | 43 comments
GitHub repository by angelos-p providing code and docs for training your own large language model from scratch.
A New Experiment Meta-Strategy(chillphysicsenjoyer.substack.com)
26 points by surprisetalk | 1 comments
A Substack post by an amateur physicist describing a new strategy for doing home experiments after reorganizing a messy lab to fit limited free evenings.
AI tutoring with Khanmigo in a two-year school experiment(edworkingpapers.com)
57 points by bryan0 | 42 comments
An Annenberg EdWorkingPapers research paper page on a two-year school experiment evaluating AI tutoring with Khan Academy's Khanmigo.
The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.