The Fundamentals of LLM Text Generation
Let's explore how Large Language Models (LLMs) like ChatGPT, Claude, Gemini generate text, focusing on decoding strategies that introduce randomness to produce human-like responses. We break down key sampling algorithms such as top-k sampling, top-p sampling (nucleus sampling), and temperature sampling. Additionally, we dive into an alternative method for text generation, typical sampling, based on information theory.
References:
[1] Locally Typical Sampling, by Clara Meister et al: https://arxiv.org/pdf/2202.00666
Video sections:
00:00 How LLMs generate text (Overview)
00:56 Why Randomness in text generation?
02:12 Top-k
03:22 Top-p
04:44 Temperature
06:04 Entropy and Information Content
07:12 Typical Sampling
▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬
🖥️ Website: https://www.assemblyai.com
🐦 Twitter: / assemblyai
🦾 Discord: / discord
▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?...
🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers
🔑 Get your AssemblyAI API key here: https://www.assemblyai.com/?utm_sourc...
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
#MachineLearning #DeepLearning
Watch video The Fundamentals of LLM Text Generation online without registration, duration hours minute second in high quality. This video was added by user AssemblyAI 18 October 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 992 once and liked it 50 people.