Leverage the Power of Open LLMs With VantageCloud

The number of open-source large language models (LLMs) is increasing rapidly, and many AI leaders plan to adapt open LLMs in their generative AI strategies.

Open LLMs offer a transformative solution for many use cases. However, their implementation in regulated industries necessitates stringent data privacy and security measures.

Teradata addresses these challenges with innovative capabilities to implement generative AI within Teradata VantageCloud Lake environments through Bring Your Own LLM (BYO-LLM). With this technology, you can deploy open-source LLMs in the same environment where data resides, utilizing scalable, dependency-isolated, and highly parallelized environments.

Data scientists, AI specialists, analytics leaders, and data practitioners can fully leverage open-source LLMs with maximum control.
 

Join this live demo to learn how to:

• Create dependency-isolated environments through Teradata’s Open Analytics Framework on your VantageCloud Lake infrastructure and install necessary libraries
• Deploy open-source LLMs from Hugging Face or other open-source LLM publishers/aggregators on your Open Analytics Framework environments
• Seamlessly operationalize your deployed LLMs for inference on your unstructured data

Don’t miss this opportunity to see how VantageCloud Lake can unlock the full potential of LLM use cases.
 

Speakers Include:

Pranay Dave

Director of Product Marketing, Teradata

Pranay is your guide to unraveling the transformative potential of Teradata's cutting-edge solutions. With a wealth of experience in both leadership and product marketing roles within the dynamic realm of AI, he excels at demystifying Teradata's value proposition for customers and prospects alike. Having spearheaded numerous initiatives across diverse industries, Pranay is a seasoned expert in translating AI's promise into tangible business advantages. Armed with a formidable blend of technical prowess and strategic insight, Pranay is at the forefront of technology evangelization efforts. With him, you're not just navigating the AI landscape – you're charting a course towards unprecedented success.

Daniel Herrera

Principal Developer Advocate, Teradata

Daniel Herrera is a builder and problem-solver fueled by the opportunity to create tools that aid individuals in extracting valuable insights from data. As a technical product manager, Daniel specialized in data ingestion and extract, transform, and load (ETL) for enterprise applications. He’s actively contributed as a developer, developer advocate, and open-source contributor in the data engineering space. Certified as a Cloud Solutions Architect in Microsoft Azure, his proficiency extends to programming languages including SQL, Python, JavaScript, and Solidity.