In the news | Medium: Jesus Rodriguez
Autonomous agents are rapidly becoming one of the hottest trends in generative AI. Still far from being a solve problem or a mainstream trend, autonomous agents is universally acknowledged as one of the new frontiers in the foundation model landscape.…
In the news | Microsoft Innovation Stories
Sealed in glass Project Silica’s coaster-size glass plates can store data for thousands of years, creating sustainable storage for the world. Storing data on glass might sound futuristic, but it’s a concept that dates back to the 19th century when…
In the news | VentureBeat
Microsoft has joined the race for large language model (LLM) application frameworks with its open source Python library, AutoGen. As described by Microsoft, AutoGen is “a framework for simplifying the orchestration, optimization, and automation of LLM workflows.” The fundamental concept…
In the news | isp.page
AutoGen, an innovative framework aimed at simplifying and automating large language model (LLM) workflows, is making headlines in the field of artificial intelligence. Developed by a community of contributors from various backgrounds, including academia and industry, AutoGen promises to revolutionize…
In the news | MarkTechPost
The rise of large language models (LLMs) has presented both opportunities and challenges. Leveraging these powerful models for complex applications requires intricate workflows that demand significant effort and expertise. Enter AutoGen, a groundbreaking framework designed to simplify and automate LLM…
| Hanna Wallach and Ashley Llorens
Powerful large-scale AI models like GPT-4 are showing dramatic improvements in reasoning, problem-solving, and language capabilities. This marks a phase change for artificial intelligence—and a signal of accelerating progress to come. In this Microsoft Research Podcast series, AI scientist and…
In the news | MSPowerUser
The usage of large language models (LLMs) is increasing day by day. Recently, Microsoft released a brand-new tool called AutoGen that will help developers create complex LLM-based applications. Creating complex LLM-based applications requires expertise to design, implement, and optimize a…
Over the past year, excitement around Large Language Models (LLMs) skyrocketed. With ChatGPT and BingChat, we saw LLMs approach human-level performance in everything from performance on standardized exams to generative art. However, many of these LLM-based features are new and…
Chunked prefills & decode-maximal batching boost LLM inference; DragNUWA combines text, image, and trajectory for fine-grained video content control; reconstructing images from human brain signals; structural inequalities in creator-audience relationships.