Running LLMs in Your Environment

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
Subscribers:
22,300
Published on ● Video Link: https://www.youtube.com/watch?v=REv-GgieWto


Duration: 40:43
222 views
5

see more slides, notes, and other material here: https://github.com/Aggregate-Intellect/practical-llms/



Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE


2023-07-10​Diving Into Document Question and Answering Systems with LLMs
2023-07-10Project Update - Building a Live Book
2023-07-10High Performance Computing on Cloud for Generative AI
2023-07-10​ThinkGPT: Agent and Chain of Thought techniques for LLMs
2023-07-10LLM Starter Pack: A Pragmatic Guide to Success with the Large Language Models
2023-07-10​PandasAI - Talk to Your Data
2023-07-10​Which Open-source LLM to Choose for Your Task?
2023-06-14Computational Thinking
2023-06-13Invest in Deep Tech like an Engineer - Deep Random Talks
2023-06-12Total Recall with NLP and LLMs - Deep Random Talks
2023-05-22Running LLMs in Your Environment
2023-05-22​Building with LLMs Using LangChain
2023-05-21Building ResearchLLM: automated statistical research and interpretation
2023-05-21Learning-free Controllable Text Generation for Debiasing
2023-05-21ChatGPT-like application for construction of mathematical financial models
2023-05-21Modern Innovations in Fine-Tuning Large Language Models
2023-05-21Exploring the agency limits of today's LLMs
2023-05-21Optimizing Large Language Models with Reinforcement Learning-Based Prompts
2023-05-21Expanding the Capabilities of Language Models with External Tools
2023-03-22Leveraging Language Models for Training Data Generation and Tool Learning
2023-03-22Generative AI: Ethics, Accessibility, Legal Risk Mitigation


Tags:
deep learning
machine learning