HUGGING FACE AND GCP PARTNERSHIP
Hugging Face has partnered with Google Cloud to give easy access to models and compute for customers of both platforms.
Parse notes
Hugging Face has partnered with Google Cloud to give easy access to models and compute for customers of both platforms.
OpenAI released a new embeddings model, a better and cheaper GPT-3.5 Turbo, and a less lazy GPT-4 Turbo preview. It has improved pricing and tried to improve the GPT-4 Turbo preview model to prevent the laziness issue in code generation.
The vector database company that powers portions of ChatGPT and X's “More like this” has raised money to improve its Rust-based vector store and expand its enterprise offerings.
Soft robotics is a challenge due to the large control space. This work introduces a simulator with various tasks for manipulating soft “ditto” like objects. It contains utilities, visualization, and some strong baselines.
Researchers have developed a new method for creating scene graphs, making the process faster and more efficient. Their transformer-based technique focuses on improving the way the model understands and connects different elements in an image, leading to better performance on challenging tasks.
SpeechGPT-Gen is a new speech synthesis model that efficiently handles the complexities of language and voice characteristics.
Sponsored
Microsoft is marketing its Fabric Lakehouse architecture as an ideal way to manage Power BI semantic models. This tech talk [12] will examine these claims in light of AtScale’s TPC-DS benchmark [13], measuring Power BI performance on Microsoft Fabric on 100GB, 1TB, and
LLM Steer is a library for controlling language model generation with sentiment vectors. This means you can embed a concept like “thoughtful” and make the generation more thoughtful. It tends to work better than prompting in general, but more study is needed.
RoMa is a library for PyTorch for dealing with tricky rotations. It is reasonably efficient and can be used to help with any project that uses 3D data.
AgentBoard is a benchmark designed for multi-turn LLM agents, complemented by an analytical evaluation board for detailed model assessment beyond final success rates.
A walkthrough with code on writing a sparse Mixture of Experts model from scratch in Pytorch. There are diagrams and explanations for each step. The explanation of top-k routing is particularly insightful.
A survey of experts on how early adopters are using AI today and where AI is going in 2024.
Image similarity systems give a score based on how similar two images are. This work improves upon previous methods, primarily by relying on synthetic data and human preferences.
SegMamba is a model designed for 3D medical image segmentation. It offers a more efficient alternative to the Transformer architecture.
Track keywords across social media to convert leads with AI-generated auto-replies.
Researchers have developed a Shared Feature Calibration (SFC) method to enhance semantic segmentation.