Create Your Own Code Assistant with Llama 2, Node.js, and React.js
1h 58mIntermediate2024-10-10
Authors
Steven Emmerich
Full-Stack, Big Data Analytics, and Mobile App Developer
Course details
Coding assistants sound like a great idea—in theory. But they’re often too generic and lack the ability to personalize individual styles and needs. This course empowers developers to build bespoke AI partners that understand their workflows and anticipate their needs. Join instructor Steven Emmerich as he guides you through the process of creating your own, custom-built code assistant with Llama 2, Node.js, and React.js. If you’re a developer looking to create more efficient workflows through personalized assistance, join Steven in this course to find out how you can build an assistant to help you—and bolster your AI skills at the same time.
Skills covered
LlamaNode.jsReact.jsJavaScript FrameworksNatural Language Processing (NLP)MetaGenerative AIFront-End Web DevelopmentArtificial Intelligence (AI)Web DevelopmentOpen SourceOne-Off
Concepts
0. Introduction
- 01 - AI-powered coding - Create your own AI assistant with Llama 2
- 02 - What you should know
- 03 - Using GitHub Codespaces
1. Foundations of Your Code Assistant
- 04 - Intro to large language models (LLMs)
- 05 - Llama 2 deep dive
- 06 - Setting up the Node environment
- 07 - Basic server and API
- 08 - Setting up the Llama's pen
- 09 - Data prep for Llama
- 10 - Loading the local code - Feeding the Llama
- 11 - Connecting the database to the API
2. Training Your Personalized Llama
- 12 - Llama training basics
- 13 - Fine-tuning responses using RAG
- 14 - Retrieving data to AG
- 15 - Generating embeddings
- 16 - Using a vector database
3. Llama and Your IDE
- 17 - GitHub Codespaces extensions setup
- 18 - Building the UI - Side chat
- 19 - Building the UI - Main chat
- 20 - Flushing out the API with LangGraph
- 21 - Grading the responses
- 22 - Integrating the extension, API, and Llama
4. Unleashing Your AI Copilot
- 23 - Automating repetitive tasks
- 24 - Context-aware code completion
- 25 - Advanced code generation
- 26 - Optimizing your assistant
Conclusion
- 27 - Next steps
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