TAPI Large Language Models and Embeddings for Retrieval Augmented Generation
Published:
Certification details
What you will learn
- Retrieval Augmented Generation (RAG) Expertise: Gain hands-on experience with RAG techniques, a cutting-edge approach to enhancing language model performance.
- Innovative Model Application: Develop practical skills in applying innovative models and techniques for improved text generation.
- Research-Focused Application: Learn how to leverage RAG solutions for research purposes, generating highly informative and contextually relevant outputs.
Why earn this certification
- Become a RAG Proficient: Demonstrate expertise in a leading-edge technique for improving language model capabilities.
- Enhance Research Capabilities: Develop skills to significantly improve the quality and relevance of research outputs.
- Gain a Competitive Edge: Acquire in-demand skills in a rapidly evolving field of natural language processing.
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.