Juan Sequeda on Semantics, Knowledge Graphs & Generative AI | Data-Driven Podcast
Автор: AtScale
Загружено: 2024-05-14
Просмотров: 206
Описание:
Juan Sequeda, Principal Scientist at data.world, joins AtScale’s Data-Driven Podcast to discuss his benchmark study on Knowledge Graphs, semantics, and their impact on LLM accuracy. Juan explains why semantics matter for enterprise AI, shares reactions to his research, and explores how Generative AI is shaping the future of enterprise innovation.
In this episode:
• Key findings from Juan’s benchmark study on Knowledge Graphs and LLM accuracy
• How semantics improve AI reliability and trustworthiness
• Reactions from the industry to his research
• The evolving role of Generative AI in enterprise innovation
• Moving beyond today’s copilots to future AI systems
• How enterprises may one day train their own LLMs
🕒 Chapters:
0:00 Intro
0:59 Juan’s story
5:50 Inspiration behind the benchmark study
10:43 How semantics affect LLM accuracy
14:54 Reactions to the benchmark report
18:03 How Generative AI is changing the industry
23:34 Moving beyond copilots
28:30 Training enterprise-specific LLMs
30:56 Closing thoughts from Juan
🎧 Subscribe to the Data-Driven Podcast for more conversations with leaders in data, AI, and analytics.
🔎 Learn more about AtScale:
🌐 Website: https://www.atscale.com/
💼 LinkedIn: / atscale-inc-
💻 GitHub: https://github.com/AtScaleInc
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