Building LLM-Powered Apps
Learn how to build LLM-powered applications using LLM APIs, Langchain and Weights & Biases LLM tooling. This course will guide you through the entire process of designing, experimenting, and evaluating LLM-based apps.
Introduction & goals of the course
Demo of an LLM-powered app
W&B Prompts for LLMs
Quick question before you continue
Understanding large language models
Tokenization in action: converting text to tokens
Sampling methods: generating text with LLMs
Sampling practice
Using chat completion API
Prompting LLMs
Prompt engineering practice: zero shot and few shot
Prompt engineering practice: level 5 prompts
Looking at the results
Why an API call alone is not enough
Designing application architecture
Overview of vector databases
Parsing documents
Understanding retrieval question answering
Ingesting documentation
Building a web application
Evaluating LLM Apps
Identifying areas of improvement
Evaluation practice
Analyzing evaluation results
Controlling LLM outputs
Safety considerations and prompt injection
Wandbot overview
Final quiz
Project assignment
Course recap and next steps
Additional resources for further learning
Intermediate Python experience
No machine learning skills required
I recently took the "Building LLM-Powered Apps" free online course offered by Weights & Biases, and I must say it exceeded my expectations. The course provided a comprehensive understanding of Large Language Models, equipping me with valuable ...
Read MoreI recently took the "Building LLM-Powered Apps" free online course offered by Weights & Biases, and I must say it exceeded my expectations. The course provided a comprehensive understanding of Large Language Models, equipping me with valuable knowledge and insights. One standout feature of the course was its introduction to the impressive capabilities of W&B, particularly its ability to store and track important metrics of the model. This not only enhanced my understanding of LLMs but also empowered me to optimize and improve my own applications. I highly recommend this course to anyone looking to delve into the world of language models and leverage the power of W&B.
Read LessFantastic for those building in the LLM ecosystem. Had a great experience learning about techniques to make a great production-grade application. One suggestion - having subtitles for the videos would make them easier to follow!
Fantastic for those building in the LLM ecosystem. Had a great experience learning about techniques to make a great production-grade application. One suggestion - having subtitles for the videos would make them easier to follow!
Read LessI love the course. It basically focus on prompt engineering using Python. It's also clear and simple. It doesn't require any advanced math from high school you already forgot.
I love the course. It basically focus on prompt engineering using Python. It's also clear and simple. It doesn't require any advanced math from high school you already forgot.
Read Less