Red Teaming of LLM Applications - From Prototype to Production
Explore techniques to detect vulnerabilities in LLM applications, focusing on automated safety assessments and benchmarking methods for secure GenAI system deployment.
Crafting the Future of Go-to-Market Strategies with AI and Clean Data
Explore how clean data and Generative AI revolutionize go-to-market strategies, featuring real-world case studies and insights on unified data systems for transformative market success.
Leveraging AI to Uncover Disparities and Transform Healthcare in Low and Middle Income Countries
Explore how AI and data analytics are revolutionizing global healthcare delivery, focusing on identifying medical deserts and improving access to services in low and middle-income countries.
Skyscanner's Journey of Enabling Practical Data and AI Governance
Discover how Skyscanner revolutionized their data infrastructure using lakehouse architecture and Unity Catalog, enabling effective governance and powering critical AI and ML applications.
Methods for Evaluating Your GenAI Application Quality
Explore comprehensive tools for evaluating GenAI applications, including inference tables, Lakehouse Monitoring, and MLflow. Learn best practices for offline and real-time quality assurance in production environments.
Build Better RAGs with Contextual Retrieval
Enhance RAG systems with contextual retrieval to improve context chunk quality and generate more accurate answers. Learn implementation techniques and practical applications.
Generate Realistic Images on Your PC with FLUX.1 - Step-by-Step Guide
Learn to generate realistic images using FLUX.1 AI on your PC with this step-by-step guide. Master advanced image creation techniques and explore the potential of AI-powered visual content generation.
OpenAI DevDay: New Features and Innovations Revealed
Discover key OpenAI DevDay innovations: Real-Time API, Vision Fine-Tuning, Prompt Caching, and Model Distillation. Explore implementation, pricing, and real-world applications of these groundbreaking AI technologies.
Balancing Risk, Innovation, and AI Opportunity in the Legal Field - Assembly Required Series
Explore insights on balancing risk, innovation, and AI opportunities in legal tech with Ironclad's CEO. Gain valuable perspectives on building successful AI-driven products and strategies.
What Enterprises Get Wrong About AI Adoption - Crawl, Walk, Run, Fly
Explore common AI adoption mistakes in enterprises and learn a phased approach: crawl, walk, run, fly. Gain insights for successful implementation.
Tuning Gemma for a Spoken Language AI Assistant - Build with Google AI
Explore creating a multilingual AI assistant using Gemma. Learn to tune models for specific tasks and languages, with insights from developers and practical extension tips.
Unleashing Chaos with GenAI Innovations - Enhancing Cybersecurity
Revolutionize cybersecurity with AI-powered chaos simulations. Enhance threat detection, proactively identify risks, and strengthen defenses against evolving cyber threats through innovative GenAI experiments.
Challenges and Opportunities Building LLM-Powered Applications
Explore end-to-end architecture for LLM-powered applications, covering design patterns, open-source tools, fine-tuning techniques, and guardrails using a knowledge management example.
What We Learned from 570K ChatGPT Interaction Logs In The Wild
Explore insights from 570K ChatGPT conversations, revealing diverse user prompts and potential toxic use-cases. Learn about fine-tuning instruction-following models using this rich dataset.
AI, Communication and the End of Trust
Explore AI's impact on trust in human interactions, including generative AI's challenges to accountability and trust maintenance in various domains.
Violet Teaming AI in the Life Sciences
Explore AI's impact on life sciences, balancing opportunities in health and biosecurity risks. Learn about violet teaming to maximize benefits while minimizing downsides in biological engineering.
Building Trustworthy AI with Common Sense - Lecture
Explore building trustworthy AI with common sense for robust decision-making, discovery, and misinformation tackling. Learn about CARE principles and neuro-symbolic architectures for explainable, adaptive AI systems.
Data-Centric Approach to Machine Learning in Health Applications
Explore robust data management practices for machine learning in health applications, addressing common pitfalls and showcasing solutions from neuroscience and cell biology research.
Modular Language Models: Addressing Limitations of Dense Training
Explore modular language models: specialized components for distinct domains, enabling customization, parallelization, and sparse activation. Discover a new approach to collaborative LM development.
Drinking From The Firehose of Science: Developments in Semantic Scholar and Scientific Literature Access
Explore recent developments in Semantic Scholar and learn how to leverage its APIs for scientific literature analysis. Discuss strategies to increase diversity in scientific participation.
AI on the Edge: Post-CMOS Hardware and Device Materials - Session IV
Explore cutting-edge advancements in post-CMOS hardware and device materials for energy-efficient neuromorphic computing and edge AI applications.