Все публикации

0:36:06

Scaling Laws, Emergent Behaviors, and AI Democratization with Irina Rish, PhD

0:40:45

If We Want AI to be Interpretable, We Need to Measure Interpretability with Jordan Boyd-Graber, PhD

0:47:50

Testing Positive Semidefiniteness and Eigenvalue Approximation with David P. Woodruff, PhD

0:24:34

Semantic Search with Nils Reimers

0:45:01

ODSC Webinar | The Power of Feature Engineering for Manufacturing Data Scientists

0:44:42

Reasoning in Natural Language with Dan Roth, PhD

0:40:47

Truth Checker: Generative Large Language Models and Hallucinations with Chandra Khatri

1:09:14

Interview 'Navigating the Ethical Landscape of Generative AI'

0:51:19

Interview 'You're Probably Overthinking It. Demystifying Data'

0:30:44

Generative Ai vs. AGI: Strengths and Weaknesses of Large Language Models with Dr. Ben Goertzel

1:00:10

Lightning Interview 'Troubleshooting Large Language Models'

0:25:25

Building Robust and Scalable Recommendation Engines for Online Food Delivery

0:46:07

ODSC Webinar | Open source Data Lake Management, Curation, Governance for New & Growing Companies

0:48:16

ODSC Webinar | Preparing for your First Enterprise Large Language Model (LLM) Application

0:29:20

Finetuning, Serving, and Evaluating LLMs in the Wild - Hao Zhang, PhD

0:41:55

Notion's ML Engineering: Search & Ranking Models using Snowflake & Qwak

0:25:23

Building an Optimized ML Pipeline: The builders behind Superbet’s profanity detection use case

1:00:00

Lightning Interview “Large Language Models: Past, Present and Future”

0:36:32

ODSC Webinar | From Docs to Tables: Generating Structured Data with LLMs

0:32:54

Exploring the Generative AI Landscape: From Basics to Hands-on Applications - Raghav Bali

0:33:21

Evolving Trends in Prompt Engineering for LLMs with Built-in Responsible AI Practices

0:44:59

ODSC Webinar | Take Raw Data to Curated Data in under 60 minutes

0:31:24

Leveraging Generative AI in Education - A M Aditya

0:48:13

Lightning Interview 'Confident Data Science'