The generative AI market is moving FAST. Every day, new tools and methods are being created – already there are over 140 open-source LLMs and 17 hosted vector database options. Each of these options can lead to meaningfully different outcomes for your generative AI use cases – from response quality to cost to privacy.
How do you make sense of all of the chaos and choose the LLM that’s best for your organization’s needs and the specific use case at hand?
In this webinar, Jay Schuren, Chief Customer Officer at DataRobot, and Rajiv Shah, Machine Learning Engineer at Hugging Face, will share:
- How you can easily explore and compare LLMs (open-source vs. proprietary)
- What factors to consider when evaluating different options
- How to quickly get going and set up an endpoint for open-source models
- How to securely deploy, monitor and maintain open-source models