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flowchart showing how AI learns from user interactions
Microsoft Research Blog

| Scott Counts, Jennifer Neville, Mengting Wan, Ryen W. White, and Longqi Yang

Microsoft researchers are taking a comprehensive and dynamic approach to help Copilot (web) continuously learn from interaction and feedback, improving the AI system and making it increasingly useful for consumers. Learn more.

Orca-2 blog hero | abstract waves of data
Microsoft Research Blog

| Ahmed Awadallah, Andres Codas, Luciano Del Corro, Hamed Khanpour, Shweti Mahajan, Arindam Mitra, Hamid Palangi, Corby Rosset, Clarisse Simoes Ribeiro, and Guoqing Zheng

At Microsoft, we’re expanding AI capabilities by training small language models to achieve the kind of enhanced reasoning and comprehension typically found only in much larger models.

In the news | VentureBeat

Even as the world bears witness to the power struggle and mass resignation at OpenAI, Microsoft, the long-time backer of the AI major, is not slowing down its own AI efforts. Today, the research arm of the Satya Nadella-led company…

An example of a multi-turn text-to-SQL task. The user query “Find the names of the top 3 highest sales books” corresponds to the formal program “SELECT title FROM book ORDER BY sale_amount DESC LIMIT 3”. The follow-up user query, “Who are their authors,” corresponds to the formal program “SELECT t1.title, t1.name FROM author AS t1 JOIN book AS t2 ON t1.id = t2.author_id ORDER BY t2.sale_amount DESC LIMIT 3”. In the corresponding database, there is an “Author” table with an “id” column, a “name” column, a “country” column, and an ellipsis signifying additional columns; a “Press” table with an “id” column, a “name” column, an “address” column, and an ellipsis signifying additional columns; and a “Book” table with an “id” column, a “title” column, an “author id” column, a “sale_amount” column, and an ellipsis signifying additional columns.
Microsoft Research Blog

| Alex Polozov, Chris Meek, and Ahmed Awadallah

One key aspiration of AI is to develop natural and effective task-oriented conversational systems. Task-oriented conversational systems use a natural language interface to collaborate with and support people in accomplishing specific goals and activities. They go beyond chitchat conversation. For…