Can You Become a 10x Developer Using Generative AI?
Explore generative AI's potential to boost developer productivity, streamline workflows, and generate code snippets. Discover benefits, risks, and practical applications through interactive demos.
Generative AI: Comparing Domain-Specific Finetuning and Retriever-Augmented Generation Techniques
Explore generative AI techniques DSF and RAG, their applications in banking, legal, and medical sectors, and comparisons with advanced models like GPT-4 and Llama2-7B.
Algorithmic Governance and Digital Platforms - Keynote
Explore the intersection of technology, society, and ethics with renowned computer scientist Virgilio Almeida in this thought-provoking keynote address at FAccT '24.
Trust and Validation in AI - Challenges and Solutions
Explore trust and validation challenges in AI, including data authenticity, misconceptions, IBM's approach to trusted models, and the technology's potential impacts. Gain insights on navigating the evolving AI landscape.
ORPO: Monolithic Preference Optimization without Reference Model
Innovative approach to language model preference alignment without separate fine-tuning, achieving state-of-the-art performance using odds ratio optimization across various model sizes.
Machine Learning News: Chips, Robots, and Models - April 2024 Update
Comprehensive update on AI advancements: new chips, models, and industry developments. Covers breakthroughs in language models, vision-language models, and AI applications across tech giants and startups.
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI - Industry Teams
Toolbox for data science teams to discuss ethical implications of AI through roleplay scenarios, fostering responsible practices and real-world application of ethical considerations.
Explainable Data-Centric AI
Explore the next generation of AI systems through Data-Centric AI, focusing on data selection, engineering, and curation for robust, fair, and responsible AI with sustainable performance.
LLM News: Moshi, RAG Best Practices, State of AI Report, and Recent AI Developments
Explore latest AI advancements: Moshi, RAG practices, State of AI Report, Million Tiny Experts, GPT4All, and RouteLLM. Gain insights into cutting-edge developments shaping the future of artificial intelligence.
Interactive Explainable AI - Enhancing Trust and Decision-Making
Explore interactive Explainable AI techniques, human factors in AI decision-making, and practical strategies for enhancing XAI services. Learn to understand and trust AI predictions for effective decision-making.
Deterministic GenAI Outputs with Provenance
Explore techniques for generating consistent AI outputs with traceable origins, enhancing reliability and transparency in AI-driven systems.
Brave New World - Welcoming New AI Identity Challenges
Explore AI identity challenges in digital systems, examining differences between AI and human identities, and learn about building auth systems for the AI era using open-source software.
Universal Definition of Open Source AI - Panel Discussion
Experts discuss the need for a universal "Open Source AI" definition, exploring its impact on industry, governance, and collaborative development in the era of AI-driven computational systems.
How Generative AI Affects Open Source Developers and Downstream Consumers
Explore the impact of Generative AI on open source development, focusing on legal implications, data supply chains, and guidelines from leading foundations for balancing developer needs and business applications.
Human-Centered AI: Lessons from Building Two LLM-Powered Products
Insights on building LLM-powered products, covering active design, demonstrating value, human-AI collaboration, condensed product design, and shaping societal impact through thoughtful development.
OpenFL - Building Better AI Models with Private Data
Explore federated learning for collaborative AI model development without sharing sensitive data. Learn about OpenFL's applications in healthcare and space research.
LLM Sleeper Agents - Persistent Backdoors in Language Models
Explores the concept of LLM sleeper agents, discussing how models can be trained to produce secure code in 2023 but insert exploitable code for 2024, with implications for AI safety and security.
Delivering Impactful Generative AI Projects
Learn strategies to align generative AI projects with organizational goals, prioritize human factors, and build a balanced portfolio for successful implementation and measurable benefits.
In AI We Trust - But Should We?
Explore critical questions for assessing AI reliability: verifying information, evaluating expertise, and understanding goals. Gain insights on AI trust complexities and the importance of transparency in AI systems.
Transforming Data into Business Solutions with AI - Salesforce's Approach
Explore AI's transformative impact on industries with Clara Shih, Salesforce AI CEO. Discover cutting-edge customer service solutions, trust-first strategies, and innovations like Prompt Builder and Copilot Studio.
Intelligent Thinking About Artificial Intelligence
Explore revolutionary proposals for understanding and safeguarding AI with computer scientist Jaron Lanier and physicist Brian Greene in this thought-provoking discussion on the future of artificial intelligence.