TLDR AI

TLDR AI 2024-09-23

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01HEADLINES & LAUNCHES

CONTEXTUAL RETRIEVAL

Anthropic shows how to semantically chunk documents, which dramatically improves performance while only costing $1/million chunks due to caching.

anthropic.com12 min read

PROMPTING O1

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.

links.tldrnewsletter.com6 min read

JONY IVE CONFIRMS HE'S WORKING ON A NEW DEVICE WITH OPENAI

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.

theverge.com2 min read

02RESEARCH & INNOVATION

FINE-TUNING IMAGE-CONDITIONAL DIFFUSION MODELS IS EASIER THAN YOU THINK

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.

arxiv.org24 min read

03ENGINEERING & RESOURCES

AI FOR JQ

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.

github.comGitHub repository

KYUTAI LABS RELEASES MOSHI WEIGHTS

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.

github.comGitHub repository

04MISCELLANEOUS

MOST POWERFUL LLM ON A SINGLE GPU

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.

upstage.ai12 min read

SAE INTUITIONS

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.

adamkarvonen.github.io18 min read