30 Days of LLMs: Day 4 — LLM Foundations: Understanding Tokenization & Training
In Day 4 of the Weights & Biases 30 Days of LLMs, we dive into a variety of use cases for text generation by algorithms and LLMs, and explore the theory of the training processes and reinforcement learning.
Created on December 8|Last edited on December 10
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We'll be taking a day-by-day look at our Building LLM-Powered Applications course — and giving you the chance to win some great prizes!
30 Days of LLMs Contest
By enrolling in our free Building LLM-Powered Applications course, you will automatically be entered into a prize draw to win the coveted W&B socks. Complete the course, and you'll be entered into the draw to win a pair of Apple AirPods Pro!
Day 4: LLM Foundations: Understanding Tokenization & Training
Begin your exploration into the complexities of Large Language Models (LLMs) with the fourth part of our complimentary course, "Building LLM-Powered Apps," offered by Weights & Biases. Participate alongside our machine learning engineer, Darek Kleczek, who will guide you through the intricate details and varied uses of LLMs.
Chapter Highlights
- Exploring LLM Applications: Delve into a variety of use cases for text generation by algorithms and LLMs.
- Insights into LLM Mechanics: Darek offers an inside look at the process, illustrating that deep expertise in LLMs is not a prerequisite for app development.
- Understanding Tokenization: Discover the essential step of tokenization, which converts text into numerical tokens for LLM processing.
- Overview of Training Stages: Learn about the two principal training stages of LLMs: pre-training and supervised fine-tuning.
- Exploring Reinforcement Learning: Investigate further stages like reinforcement learning with human feedback, where models like GPT-4 are refined to produce responses that align more with human preferences.
Key Course Information
- No deep machine learning knowledge is needed, just some familiarity with Python programming.
- Strategies for continual enhancement of your LLM applications.
- Unique perspectives on the LLM tools used by Weights & Biases.
Free Enrollment
Preview of the Next Chapter
Join the practical session in our next chapter, focusing on hands-on LLM experiments using a Jupyter Notebook.
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