ODSC Webinar | Machine Learning Models To Interpretable Rules

ODSC Webinar | Machine Learning Models To Interpretable Rules

Generate Synthetic Tabular Data with GANs

Text and Code Embeddings with Arvind Neelakantan, PhD

Responsible AI In Practice

ODSC Webinar | Accelerating Financial Processing and Reporting with Pre-Trained and Custom ML Models

Infuse Generative AI in your apps using Azure OpenAI Service with Eve Psalti

Secrets of Successful AI Projects with Pedro Domingos, PhD

ODSC Webinar | Secure LLM App Deployments—Strategies and Tactics

ODSC Webinar | Designing AI for Trust - How To Create Value While Setting The Right Guardrails

Applying Responsible AI with Open-Source Tools with David Talby, PhD

Solving MLOps from First Principles with Dean Pleban

ODSC Webinar | Enhancing Security Report Generation with RAG and Fine Tuned Language Models

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

ODSC Webinar | Iterative Feature Engineering for Superior Machine Learning Models

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

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

ODSC Webinar | Inference Benchmarking of Prominent Open-Source Large Language Models (LLMs)

Winning The Room: Creating And Delivering An Effective Data-Driven Presentation with Bill Franks

Semantic Search with Nils Reimers

AiX Podcast Interview "Training and Deploying Open-Source LLMs"

Robustness to Adversarial Inputs and Tail Risk via Boosting with Pradeep Ravikumar, PhD

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

Reasoning in Natural Language with Dan Roth, PhD

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