Building LLM Powered Applications
Create intelligent apps and agents with large language models
Created by Valentina Alto
Discover how to design intelligent applications using large language models. You'll explore key architectures, work with both proprietary and open-source models, and learn to build practical solutions with frameworks like LangChain. Gain the skills to create agents that interact with data and extend your AI capabilities beyond text.
Packt | May 2024 | 342 min
What You Will Learn
You will start by understanding the architecture and core concepts behind large language models. Step by step, you'll move into hands-on projects that use frameworks like LangChain and Streamlit. Along the way, you'll experiment with different models, learn to fine-tune them, and explore advanced topics like vector databases and ethical considerations.
Key Features
- Integrate LLMs into practical applications for real-world problem solving
- Use LangChain to connect LLMs with tools, memory, and data sources
- Apply prompt engineering techniques to improve model performance
Target Audience
Ideal for software engineers and data scientists with a solid grasp of machine learning or programming fundamentals. If you want to build intelligent apps or agents using LLMs, or you're a technical leader or researcher exploring applied AI, you'll find practical guidance here. No prior experience with LLMs is required, just a readiness to apply your technical skills.
