all AI news
Abstracts: December 11, 2023
Dec. 11, 2023, 10:01 p.m. | Alyssa Hughes
Microsoft Research www.microsoft.com
By treating language models as layers in a network and prompts as learnable parameters, researchers aim for more adaptable, reusable LLM architectures. Check out the work in the “Abstracts” podcast series with guest Alessandro Sordoni and at #NeurIPS2023:
The post Abstracts: December 11, 2023 appeared first on Microsoft Research.
aim architectures check language language models llm microsoft microsoft research microsoft research podcast network neurips2023 parameters podcast prompts research researchers series work
More from www.microsoft.com / Microsoft Research
SAMMO: A general-purpose framework for prompt optimization
1 week, 1 day ago |
www.microsoft.com
Research Focus: Week of April 15, 2024
1 week, 2 days ago |
www.microsoft.com
Abstracts: April 16, 2024
1 week, 4 days ago |
www.microsoft.com
Ideas: Language technologies for everyone with Kalika Bali
2 weeks, 2 days ago |
www.microsoft.com
Research Focus: Week of April 1, 2024
3 weeks, 2 days ago |
www.microsoft.com
Learning from interaction with Microsoft Copilot (web)
4 weeks, 2 days ago |
www.microsoft.com
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Reporting & Data Analytics Lead (Sizewell C)
@ EDF | London, GB
Data Analyst
@ Notable | San Mateo, CA