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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Explore techniques for efficiently training and serving massive AI models through model and data parallelism, including partitioning strategies, performance benchmarks, and practical tradeoffs for balancing accuracy, speed, and costs.
Explore the methodologies and importance of evaluating Large Language Models with AI CIO John Willis in this insightful 31-minute talk from All Things Open AI 2025.
Discover practical strategies for integrating GenAI into existing applications without becoming an AI expert. Learn how to create subtle yet powerful enhancements that elevate user experiences through real-world examples and demos.
Explore five lightning talks on AI applications: grant writing, protein prediction, observability, responsible AI, and an open source AI agent, presented at All Things Open.
Explore how large language models are transforming information discovery through semantic search and agent-based systems, with insights on natural language understanding, personalized experiences, and the future of AI-powered search.
Discover the essential components of a comprehensive AI governance program for enterprises, from regulatory compliance to ethical considerations and ROI optimization, with insights from Fidelity Investments.
Discover techniques for data bias, image perturbation, and jailbreaking to counter AI systems in this accessible talk about emerging defense mechanics against artificial intelligence.
Discover how InstructLab, an open source project by IBM and Red Hat, enables businesses to control their AI by creating tuning for base models without sharing sensitive data, ensuring transparency and security in AI implementation.
Explore how LLMs transform drug safety and business processes through multi-agent AI systems, with case studies on chatbots, database searches, and guidelines for trustworthy AI implementation in regulated environments.
Discover strategies for mitigating LLM risks through guardrails, including pre-processing techniques against prompt manipulation, output evaluation methods, and open-source frameworks demonstrated in real-world applications.
Discover how to build an AI-powered GCP certification study companion using Vertex AI with Gemini, LangChain, and Vector Search, covering embedding generation, vector storage, and prompt engineering techniques.
Discover how to align AI with your business strategy rather than creating a standalone AI strategy. Learn to evaluate AI opportunities through clear value metrics, unique data usage, and meaningful business impact.
Discover effective strategies for mitigating LLM risks through guardrails, including pre-processing techniques against prompt manipulation, output evaluation methods, and open-source frameworks demonstrated in real-world applications.
Discover how to build a functional data science AI agent using just 10 lines of Python code, exploring GPU integration, open-source libraries, and the latest LLM technologies.
Discover how to build secure AI applications using open-source LLM tools, focusing on data privacy, scalability, and local deployment while maintaining complete control over the prompt chain and development process.
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