Parse notes
A recent leak that stated the OpenAI leadership debacle was caused by an internal breakthrough that combined search and RL. This post outlines one theory explaining what might actually be happening with this new method.
An all-encompassing recap of the OpenAI fiasco. This will be studied for generations. If you haven’t followed the entire saga, this summary is a must read including all of the interesting angles and fall-out.
Anthropic included a price cut for tokens generated with the release of the newest version of Claude. This comes from both open and closed model pressure.
LoRAs are low rank learned matrices that change model behavior but are cheaper than regular fine-tuning. This work proposes an effective way to merge LoRAs together while maintaining the novel information from each.
The introduction of SegVol, a universal model for medical image segmentation, marks a new era in clinical analysis. Trained on a comprehensive collection of CT scans, SegVol excels in segmenting an extensive variety of anatomical categories.
This innovative approach accommodates a range of prompts and contexts, greatly boosting performance in segmentation tasks and showcasing impressive results in open-set challenges.
Collecting image, audio, and keystroke data from your computer is actually somewhat challenging. This library makes that process easy with the purpose of training digital Agents.
Direct preference optimization is a stable alternative to RLHF using very similar data. This repository contains an implementation for study to learn about the technique.
Kandinsky Video involves a dual-stage text-to-video process. It crafts keyframes to outline the video's story and then smoothens transitions and movements, substantially enhancing video quality and reducing computational demands.
It’s been five incredibly turbulent days at OpenAI, with the exit and then return of CEO Sam Altman. This article succinctly unpacks all of that dynamism and then goes on to explore whether OpenAI is the not-for-profit it declared itself to be in 2015 or something else entirely.
GenSLMs, an AI model for genomic data, accurately generated gene sequences resembling recent COVID-19 variants despite being trained only on early pandemic data, showcasing its potential for predicting virus evolution and aiding research.
Anthropic has released Claude 2.1, which can digest 200,000 tokens, hallucinates half as often and can do things like search the web.
Many top researchers have founded a new multimodal research lab that aims to publish great work and hopefully maintain its non-profit status.