Frameworks for Developing LLM Agents
Released/Updated: Mar 04, 2025
Duration: 28m 1s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 127 MB
Genre: eLearning | Language: English
Released/Updated: Mar 04, 2025
Duration: 28m 1s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 127 MB
Genre: eLearning | Language: English
Generative AI is everywhere, and accuracy and refinement are just as important as modularity and rapid prototyping. This course will teach you how AI frameworks help you follow both AI and software engineering best practices.
What you'll learn
Generative AI is eating the world, and we are all learning how to use it and how not to. You can accelerate your rapid adoption of its best practices by using a framework. In this course, Frameworks for Developing LLM Agents, you’ll learn to build robust LLM agents using Spring AI, a popular LLM framework. First, you’ll explore how frameworks improve prompt engineering. Next, you’ll discover how frameworks simplify creating and maintaining RAGs. Finally, you’ll learn how to use a framework to maintain long-term conversations and coordinate tasks. When you’re finished with this course, you’ll have the skills and knowledge of LLM frameworks needed to build robust AI agents without a lot of code.
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