Abstracts: December 11, 2023

Join cutting-edge researchers from Microsoft in this episode of "Abstracts," where hosts delve into the latest and most noteworthy achievements across various fields. In this particular episode, Principal Researcher Alessandro Sordoni discusses his co-authored paper, "Joint Prompt Optimization of Stacked LLMs using Variational Inference," which has been accepted at the 2023 Conference on Neural Information Processing Systems (NeurIPS).

The paper introduces an innovative architecture called Deep Language Networks (DLNs), which treat large language models as network layers and natural language prompts as the layer's learnable parameters. Sordoni outlines the architectural framework proposed in the paper and its implications for the field of natural language processing.

If you're interested in staying ahead of the curve in cutting-edge research and keeping abreast of the latest breakthroughs in the field of language processing, this engaging episode of Abstracts is just for you.

Read the full paper to learn more about the exciting advances made by Sordoni and his co-authors, or tune in to the episode to hear directly from one of the principal researchers himself.