TDD and Generative AI - A Perfect Pairing?
Explore how generative AI can create code from test cases, combining TDD principles with AI-driven development for rapid prototyping and production-ready solutions.
Be My Eyes - Leveraging Generative AI to Help the Blind and Visually Impaired
Explore how AI and computer vision can narrate the world for visually impaired individuals, transforming visual content into real-time audio descriptions.
Building an AI Risk Management Program
Gain insights on incorporating AI into your organization's risk management program to unlock data potential while ensuring security and compliance.
Data Security with Generative AI and Large Language Models
Explore data security in generative AI and LLMs. Learn to select secure AI providers, address concerns, and implement safeguards for sensitive information. Empower your organization to harness AI's potential safely.
Generative AI: The Next Frontier for Cybersecurity and the Cloud
Explore the impact of generative AI on cybersecurity and cloud computing, uncovering potential risks and innovative solutions.
From Analytics to AI: How Generative AI Can Unlock Data Insights and Transform Decision-Making
Explore the transition from traditional reporting to AI-enabled teams and learn a framework for leveraging AI to drive business impact.
Data Versioning in Generative AI: A Pathway to Cost-Effective ML
Explore data versioning strategies for Generative AI, focusing on managing large-scale unstructured data and optimizing resource usage in model scoring and API interactions.
GenAI: Lessons Learned from Failed Implementations
Explore real-world examples of failed GenAI implementations in large US enterprises, uncovering key lessons and unique challenges beyond common concerns.
Safely Flying the Generative AI Skies - Managing Risks in AI Coding Tools
Explore risks and strategies for safely managing generative AI coding tools in organizations, supporting innovation while minimizing potential hazards.
Secure Architecture Review for Generative AI-Based Services
Explore secure architecture principles for generative AI services, focusing on risk mitigation and best practices in cloud-based implementations.
Securing Data and AI: Playbook for Trust, Risk, and Security Management (TRiSM)
Discover practical steps for AI Trust, Risk, and Security Management (TRiSM). Learn to secure AI models, manage associated data, and build a Data Command Center for safe GenAI implementation.
Overcoming the Challenges of Building GenAI Apps
Explore challenges and solutions for deploying successful generative AI products, accelerating time-to-market and driving impact.
Dreambooth - Stable Diffusion for Custom Images
Explore stable diffusion techniques for creating custom images using Dreambooth. Learn color manipulation, texture enhancement, and image blending to transform ordinary photos into extraordinary art.
Diffusion Models Towards High-Dimensional Generative Optimization
Explore diffusion models for high-dimensional generative optimization in AI, focusing on biomedical applications and machine learning advancements.
Protein Design with Generative Diffusion Models
Explore generative diffusion models for protein design, covering theoretical foundations and applications in sequence and structure generation for optimized engineering and biological insights.
Programmable Generative Protein Design - Machine Learning in Drug Discovery
Explore programmable generative protein design with Gevorg Grigoryan, CTO of Generate Biomedicines, in this symposium talk on machine learning in drug discovery.
PROTPARDELLE: An All-Atom Protein Generative Model - Broad Institute Machine Learning in Drug Discovery Symposium 2023
Explore PROTPARDELLE, an all-atom protein generative model, presented by Stanford's Possu Huang at the Broad Institute's Machine Learning in Drug Discovery Symposium.
Generative AI for Modeling Single-Cell Responses
Explore generative AI applications in single-cell response modeling, covering data integration, representation learning, and multiomics analysis for biomedical insights.
Harmonizing Code and Melody: Making Electronic Music with AI and Multi-Agent Systems
Explore MusicAgent: Innovative multi-agent system for composing, arranging, and producing music using Python, Sonic Pi, and LLMs. Learn live electronic music creation and AI-driven composition techniques.
Synthetic Data: Generative AI for Enhanced Data Quality in the Era of Foundational Models
Explore synthetic data's transformative potential in AI, focusing on data quality, augmentation, bias, and privacy for foundational language models.
Customizable RAG Workflows with Your Own Data
Build customizable RAG workflows using OSS tools and your own data to optimize GenAI applications for corporate environments. Learn best practices and advanced techniques.