30 Days of LLMs: Day 5 — Hands-On LLM Experiments with Jupyter & OpenAI API
In Day 5 of the Weights & Biases 30 Days of LLMs, we Explore Jupyter Notebooks & OpenAI API with Darek Kleczek. Dive into practical tokenization demonstrations.
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 5: Hands-On LLM Experiments with Jupyter & OpenAI API
Welcome to the fifth installment of "Building LLM-Powered Apps" offered by Weights & Biases. In the latest video, our expert machine learning engineer, Darek Kleczek, takes you through an interactive session using Jupyter Notebooks to explore LLM APIs.
Chapter Highlights
- Engaging with Jupyter Notebooks: Discover why Jupyter Notebooks are the perfect platform for experimenting with LLMs.
- Introduction to OpenAI API: Learn the steps to initialize and utilize the OpenAI API, including the installation of necessary software and configuration of environment variables.
- Exploring Tokenization: Dive deeper into tokenization, an essential element for comprehending the text processing of LLMs.
- Live Demonstrations: Observe Darek showcasing tokenization with the OpenAI GPT-3 DaVinci model, offering a practical view on how sentences are broken down into tokens.
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
In the next chapter, we'll journey further into the techniques of crafting prompts for LLMs.
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