Tokenization in Large Language Models (LLMs)
About this lesson
Today, we are going to understand Tokenization and why they are essential for Large Language Models. Large Language Models do NOT read words, they read tokens represented as numerical IDs. So, we need to create tokens and provide numerical IDs to them. Tokenization is the process of breaking down text into smaller units called tokens, which can be words, subwords, or characters. #artificialintelligence #machinelearning #ai #llm #tokenization Software engineers like you join Outcome School AI and Machine Learning Program to achieve the outcome that is a high-paying tech job in AI and Machine Learning. Join Outcome School AI and Machine Learning Program: https://outcomeschool.com/program/ai-and-machine-learning Founder of Outcome School: - Amit Shekhar About Amit Shekhar: Founder @ Outcome School • IIT 2010-14 • I have taught and mentored many developers, and their efforts landed them high-paying tech jobs, helped many tech companies in solving their unique problems, and created many open-source libraries being used by top companies. I am passionate about sharing knowledge through open-source, blogs, and videos. Connect with Amit Shekhar: - X: https://x.com/amitiitbhu - LinkedIn: https://www.linkedin.com/in/amit-shekhar-iitbhu - GitHub: https://github.com/amitshekhariitbhu - YouTube: https://www.youtube.com/@amitshekhar - Instagram: https://www.instagram.com/amitshekhariitbhu Follow Outcome School: - X: https://x.com/outcome_school - LinkedIn: https://www.linkedin.com/company/outcomeschool - YouTube: https://youtube.com/@OutcomeSchool - GitHub: https://github.com/OutcomeSchool - Instagram: https://www.instagram.com/outcome_school
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