Lessons Learned Applying Large Language Models in Healthcare

Mastering RAG: Enhancing AI Applications with Retrieval-Augmented Generation

AI-Powered ETL Pipeline Orchestration: Multi-Agent Systems in the Era of Generative AI

RAG Pipelines Letting You Down? Fitch Group's Solution for Financial Documents

AI Development Lifecycle Learnings of What Changed with LLMs

Introduction to Protein Language Models for Synthetic Biology

Explainability Explained: From Beta coefficients to SHAPly Values

Developing Equitable AI Diagnostics: A Technical Approach to Bias Mitigation

Building and Deploying LLM applications with Apache Airflow

Challenges and Considerations in Language Model Evaluation

Frontiers of Foundation Models for Time Series

Reinforcement Learning with Human Feedback

Resisting AI with Dr. Dan McQuillan

Leveraging Large Language Models for Enhanced ETL, Analytics, and Deployment

Using Generative AI to Better Understand B2B Audiences: from Topic Modelling to Text Classification

Gender Bias in Machine Learning with Shalvi Mahajan

Why Gaussian Splatting is a New Neural Imagination Engine with Oles' Petriv

Beyond Aesthetics: Do Text-to-Image Models Equally Serve Everyone?

Beyond Interpretability: An Interdisciplinary Approach to Communicate Machine Learning Outcomes

ODSC Webinar | Building Multimodal Question-Answering (RAG) system with Gemini

An Intro to Federated Learning with Flower with Daniel J. Beutel

Do Large Language Models have a Duty to Tell the Truth? with Brent Mittelstadt, PhD

Orchestrating LLM AI Agents with CrewAI with Alessandro Romano

Data Morph: A Cautionary Tale of Summary Statistics with Stefanie Molin

Reinforcement Learning with Human Feedback - Luis Serrano, PhD

Unlocking Unstructured Data with Prof. Frauke Kreuter

Advanced RAG Scenarios: Building Your Own Database Agents with Adrián González Sánchez

Tabular Learning: skrub and Foundation Models with Gaël Varoquaux, PhD

Generative AI for Social Good with Colleen Molloy Farrelly

ODSC Webinar | All AI Models Are Not Created Equal: and That’s a Good Thing

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 | Getting in the Weeds with Time-Series Databases for AI

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

Mastering PrivateGPT: Tailoring GenAI for your unique applications

ODSC Webinar | How to Reduce LLM Costs by 98%: Practical, Scalable Solutions

ODSC Webinar | Reliable Data Orchestration for AI Applications

Interactive Explainable AI with Meg Kurdziolek, 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

Leverage Reviews Data for Multi Label Topics Classification in Booking.com with Moran Beladev

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

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

Using Data Science to Better Evaluate American Football Players with Eric Eager, PhD

ODSC Webinar | From Raw Data to Insights: Simplifying Data Validation and Enrichment