CONTEXTUAL RETRIEVAL
Anthropic shows how to semantically chunk documents, which dramatically improves performance while only costing $1/million chunks due to caching.
Parse notes
Anthropic shows how to semantically chunk documents, which dramatically improves performance while only costing $1/million chunks due to caching.
This guide was missed in the excitement of OpenAI's new reasoning models. It shows how prompting this new model is different and requires simpler prompts and a more structured input context.
Jony Ive is collaborating with OpenAI CEO Sam Altman on a new AI hardware project. The venture could raise $1 billion by year-end and involves key former Apple designers. Specifics of the device remain undetermined, but it aims to leverage generative AI for advanced user interactions.
Much work has been done to generalize pretrained image diffusion models into niche depth estimators and other image conditional models. This work found that by simplifying the problem and fixing a small bug, researchers were able to get substantially improved performance with less training compute.
Deepmind has released a paper that shows promise, even if the actual results aren't state-of-the-art. It shows a reinforcement learning paradigm that can be used to help models self-correct when generating math and code.
Another great Google paper that shows how to evaluate long context models. It is directionally similar to the recent work by Magic.
Sponsored
This Wednesday [10], data leaders from Bayer, Evoke, and AtScale will discuss:
Image and text to 3D with mesh smoothing and PBR ready lighting
Simple yet powerful tool to label, embed, and classify unlabeled text at the command line. It also works on streams which gives it the ability to receive piped input from other sources.
The highly funded real-time assistant voice startup showed off its impressive tech a few months ago. It has now released a detailed technical report and several model artifacts including code and model weights.
Solar Pro is a 22B language model that can fit on a single 80GB GPU. The goal of this project is to make the most powerful model that can run on a single device.
Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.
Sparse Autoencoders are the number one tool used today to understand the internals of language models. This post explores the intuitions behind the models and some good information on how they work.
The TRL library has added GKD to its training procedures.
Arcade is a new platform where users can go from prompt to product.
Salesforce is collaborating with Nvidia to create AI-powered avatars designed to enhance virtual interactions and customer service.