Introduction to Large Language Models for Life Scientists скачать в хорошем качестве

Introduction to Large Language Models for Life Scientists

Large Language Models (LLMs) are creating a shift of paradigm in how we interact with data across domains. Bioinformatics is one of the fields most prominently impacted by the advent of LLMs, whether for biodata exploration, via LLM-based AI assistants, or for dedicated, domain-specific LLMs such as Protein Language Models or even “ChatGPT for CRISPR”. But how are these models trained? How do we choose among the plethora of options for a target use case? And how do we adapt an existing model to our needs? This video will give a gentle introduction into LLMs, how they are trained and how they can be fine-tuned for specific applications, with a focus on their uses in bioinformatics. The video was recorded live during the SIB course streamed on September 18, 2024. Target audience: This video is addressed to life scientists and bioinformaticians, in academia and industry, who are interested in LLMs. Speaker: Ana-Claudia Sima, Co-Team Lead, Knowledge Representation Any question about this talk? Contact Ana-Claudia Sima https://www.sib.swiss/directory/perso... Links: Knowledge representation https://www.sib.swiss/services/portfo... Chapters: 0:00 - Introduction 01:38 - What is a Large Language Model? 05:07 - Closed-source LLMs: The GPT family 15:07 - How are LLMs trained? 21:48 - Bioinformatics applications 23:55 - Non-exhaustive list of pitfalls and limitations... 28:40 - Open-source LLMs: Llama, Mistral... 30:06 - Deploying open-source models locally 31:58 - Accessing LLMs through hosted services 33:14 - Conclusions