Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting Published 2024-04-29 Download video MP4 360p Download video MP4 720p Recommendations 25:47 Harvard Professor Explains Algorithms in 5 Levels of Difficulty | WIRED 27:14 But what is a GPT? Visual intro to transformers | Chapter 5, Deep Learning 25:21 Observational Scaling Laws and the Predictability of Language Model Performance 54:08 LLM Control Theory Seminar (April 2024) 09:18 [Anthropic] On Attack LLM: Many-shot Jailbreaking 08:45 [QA] Layer-Condensed KV Cache for Efficient Inference of Large Language Models 13:20 Einstein’s Other Theory of Everything 49:47 “What's wrong with LLMs and what we should be building instead” - Tom Dietterich - #VSCF2023 36:12 Deep Dive: Optimizing LLM inference 09:42 Improving Transformers using Faithful Positional Encoding 1:06:56 Large Language Models and The End of Programming - CS50 Tech Talk with Dr. Matt Welsh 1:19:27 Stanford CS25: V3 I Retrieval Augmented Language Models 09:38 Why Large Language Models Hallucinate 36:15 Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! 14:11 Run ANY Open-Source LLM Locally (No-Code LMStudio Tutorial) 25:01 Webinar: How to Speed Up LLM Inference 50:05 6. Monte Carlo Simulation 1:15:53 A little guide to building Large Language Models in 2024 09:12 [QA] Improving Transformers using Faithful Positional Encoding 08:25 Large Language Models from scratch Similar videos 07:35 [QA] Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting 29:08 This Week's New AI Papers - May 6, 2024 More results