This repository serves as a curated chronological feed of significant advancements and releases in the machine learning and artificial intelligence landscape, primarily focusing on large language models (LLMs) and generative AI. It is intended for researchers, developers, and enthusiasts who need to stay abreast of the rapidly evolving ML ecosystem.

How It Works

The project aggregates news, research papers, code repositories, and demos related to new models, techniques, and datasets. It presents this information as a dated list, allowing users to quickly scan recent developments and access primary sources for deeper exploration. The format prioritizes direct links to relevant resources like tweets, papers, code, and demos.

Quick Start & Requirements

• No installation or specific requirements are mentioned, as it functions as a curated list of links.

Highlighted Details

• Covers a wide range of ML subfields including text-to-image, text-to-video, code generation, NLP pipelines, and protein sequence generation.
• Features prominent models and techniques such as BLIP-Diffusion, QLoRA, PaLM 2, Stable Diffusion variants, ControlNet, and Segment Anything (SAM).
• Includes links to both academic papers and practical code implementations, facilitating both research and development.
• Highlights significant industry news, such as funding rounds and partnerships (e.g., LangChain's seed round, Replit's partnership with Google Cloud).

Maintenance & Community

• The repository appears to be a personal project with no explicit mention of maintainers, community channels, or a roadmap.

Licensing & Compatibility

• No license is specified in the README.

Limitations & Caveats

• The repository is a passive list and does not offer any interactive features or analysis. Its value is entirely dependent on the user's ability to follow the provided links and assess the linked resources.