Description
The first half of this training talks about different aspects of LLMs, such as their architectures, inference servers, and why and how benchmark them. The second half talks about the characteristics of vector embeddings and vector databases, to finalize with a practical example of a notebook that shows the impact of vector dimensionality.
Level: People with knowledge of basic concepts of AI, NLP, and Python, but not necesarilly experts.
