TSTR: Target Similarity Tuning meets the Real World (EMNLP 2023)

December 28, 2023
Anirudh Khatry | Microsoft

Talk on TSTR: Target Similarity Tuning meets the Real World. We propose how TST can be used at scale and introduce a novel ranking metric for extremely quick prototyping.

Domaine de recherche
- Artificial intelligence
Groupe
- PROSE
Publication
- TSTR: Target Similarity Tuning Meets the Real World

Regardez suivant

Introducing Muse: Our first generative AI model designed for gameplay ideation
May 20, 2026
Guiding the AI disruption to the Good Place
May 14, 2026
Yash Lara,

David Rothschild
New fine-tuning of language models: Match meaning, not tokens
May 14, 2026
Yash Lara,

Carles Domingo-Enrich
Introducing Interwhen: Steering reasoning agents with real-time verification
May 14, 2026
Yash Lara,

Amit Sharma
Introducing GitHub Agentic Workflows: AI that runs your repo
May 14, 2026
Yash Lara,

Peli de Halleux
MagenticLite: A full-stack agentic experience powered by Small Models
May 14, 2026
Harkirat Behl,

Weili Shi,

Hussein Mozannar
Generative AI for High-Stakes Decision-Making with Applications in One Health
May 12, 2026
Lingkai Kong
Physics and information theory of generative diffusion
May 5, 2026
Luca Ambrogioni
Language & Voice AI for Africa: From Data to Deployment and Impact
April 30, 2026
Vukosi Marivate,

Tavonga Siyavora,

Tobi Olatunji

, et. al.
Upper Bound 2024: Towards Human-Centered AI in AAA Video Game
June 11, 2024
Raluca Georgescu

TSTR: Target Similarity Tuning meets the Real World (EMNLP 2023)

Domaine de recherche

Groupe

Publication

Regardez suivant