Results 231 to 240 of about 9,050,905 (317)

Evaluating privacy leakages in LLM-driven ambient clinical documentation. [PDF]

Front Digit Health
Chim J, Pearson J, Schofield D, Liakata M.   +3 more
europepmc   +1 more source

Application of a Large Visual Language Model on Tongue Image Description Generation and Physical Constitution Reasoning in Traditional Chinese Medicine (TongueVLM): Model Development and Validation Study.

JMIR Med Inform
Peng C, Gao J, Yang N, Wang Y, Chen R, Dong C.   +5 more
europepmc   +1 more source

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A complementary two-dimensional material-based one instruction set computer

Nature
Subir Ghosh, Yikai Zheng, Musaib Rafiq, Harikrishnan Ravichandran, Yongwen Sun, Chen Chen, Mrinmoy Goswami, Najam U Sakib, Muhtasim Ul Karim Sadaf, Andrew Pannone, Samriddha Ray, Joan M. Redwing, Yang Yang, Shubham Sahay, Saptarshi Das   +14 more
semanticscholar   +3 more sources

Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set

International Conference on AI-ML-Systems, 2023
Building LLMs for languages other than English is in great demand due to the unavailability and performance of multilingual LLMs, such as understanding the local context.
Guneet Singh Kohli, Shantipriya Parida, S. Sekhar, Samirit Saha, Nipun B. Nair, P. Agarwal, Sonal Khosla, Kusumlata Patiyal, Debasish Dhal   +8 more
semanticscholar   +1 more source

The Instruction Set

Cortex, 2005
Joseph Yiu
openaire   +2 more sources

Instruction-Following Evaluation for Large Language Models

arXiv.org, 2023
One core capability of Large Language Models (LLMs) is to follow natural language instructions. However, the evaluation of such abilities is not standardized: Human evaluations are expensive, slow, and not objectively reproducible, while LLM-based auto ...
Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, Siddhartha Brahma, Sujoy Basu, Yi Luan, Denny Zhou, Le Hou   +7 more
semanticscholar   +1 more source