This webinar is recorded and available on demand.
You’ve heard of generative AI and ChatGPT, and maybe you’ve played around with ChatGPT for fun or even used it for work related research.
While it has become clear that generative AI and large language models (LLMs) are an important consideration for enterprise-level AI architecture, there are still key pitfalls that restrict enterprises from relying solely on LLMs or ChatGPT.
In order to maximize the use of generative AI and LLMs, on which ChatGPT is based upon, enterprises need to power generative AI with knowledge graphs.
In this webinar, learn more about the power of knowledge graphs and LLMs, and how you can strategically train your LLM to yield analytic success. You’ll hear from Ontotext’s Chief Technology Officer, Vassil Momtchev, and Strategic Technology Director, Sumit Pal (former Gartner Analyst), and Solutions Architect, Krasimira Bozhanova. They will discuss:
- The rise of generative AI and LLMs
- The powerful result of leveraging semantics knowledge graphs and LLMs
- How to do so and an example demonstration
- GraphDB10.3 and the future
When:
- Thursday, July 27th
- 11am EST | 4pm GMT | 5pm CET
This webinar is for:
- Data enthusiasts
- Chief Data and Analytics Officers
- Data Scientists & Engineers
- Subject Matter Experts (SMEs)
- Current & future users of GraphDB
- RDF & Linked Data enthusiasts
Expected duration:
- 50 minutes
Other Information:
- This is a prerecorded
- Live Question Answering: No, please share questions and we will follow up
- Resource After Webinar: Recording and presentation
