TAPI Large Language Models and Embeddings for Retrieval Augmented Generation
Published:
Certification details
What you will learn:
- Retrieval Augmented Generation (RAG) Mastery: Gain a deep understanding of the RAG technique and its power in enhancing the capabilities of language models. This includes:
- Understanding the core concepts of RAG and its advantages over traditional language models.
- Learning to effectively combine external knowledge sources with pre-trained language models.
- Hands-on Experience with RAG Solutions: Acquire practical experience implementing RAG solutions through hands-on projects and exercises. This will include:
- Building RAG systems using popular frameworks and libraries.
- Experimenting with different knowledge sources (e.g., databases, documents, APIs).
- Innovative Model and Technique Exploration: Dive deeper into the world of cutting-edge models and techniques used in RAG systems. This will include:
- Understanding advanced retrieval techniques for knowledge extraction.
- Exploring various pre-trained language models suitable for RAG applications.
Why earn this certification:
- Become a RAG Expert: Develop a strong understanding of RAG and its ability to revolutionize information retrieval and text generation.
- Enhance Language Model Capabilities: Learn to utilize RAG to augment the power of pre-trained language models.
- Unlock New Possibilities: Explore the vast potential of RAG in diverse fields, including research, content creation, and knowledge management.
Earning Criteria
Complete 1-week, 3-day course in Large Language Models and Embeddings for Retrieval Augmented Generation, consisting of 4.5 hours of e-learning.