Tslaaftermarket

A revised version of the summary arXiv paper V2 on LLM in the medical field, which was released last November, has been uploaded. 제목: A Survey of Large Language Models in Medicine:Principles, Applications, and Challenges Summary:Large-scale language models (LLMs) such as ChatGPT have received significant attention due to their impressive ability to understand and generate…

6 major task evaluation experiments in GPT-4V with 8 modalities in 16 medical fields. Reference alone 245 page arXiv papers. I think there were similar papers in the past, but I think it’s a follow-up 제목: Holistic Evaluation of GPT-4V for Biomedical Imaging Summary:In this paper, we present a large-scale evaluation that examines the capabilities…

It’s only 30 pages long, but it’s a concise summary of the overall LLM and Generative AI research trends. Including Gemini to Q*… What’s surprising is that 8 out of 30 pages are a list of 330 references. 제목: From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI)…

A comprehensive research and analysis of research trends on Retrial-Augusted Generation (RAG), one of the keywords that attracts attention these days. It’s 27 pages long, but it’s a good summary of the difference between fine tuning and RAG, as well as the analysis of research trends on major research trends and major components and technologies.…

Trying to create a problem and explain it, not just solve it. I think it’s a good way to test if LLM or AGI is just a probabilistic parrot. Generating well and having a good understanding of knowledge would be on another level. If you pass this comprehensive verification well, LLM will be more reliable…