AI Today Podcast

Explore the use of plugins to enhance Large Language Models, enabling access to external databases, real-time data, and code execution. Learn how plugins improve AI systems by providing specialized knowledge, interactivity, customization, and automation, leading to increased efficiency and time-saving in AI projects.

LLMs are probabilistic systems that provide different possible results but can get things wrong. The hosts discuss using custom instructions for LLMs to improve accuracy. Topics include prompt chaining, benefits of custom instructions in chat GPT, and best practices in AI project management. The episode also covers email security, subscribing to the podcast, and teases the next episode about using plugins.

George Fountain, AI expert at Booz Allen Hamilton, discusses CPMAI methodology in AI projects. Topics include navigating data challenges, key considerations in project implementation, guidance on AI implementation, and exploring AI's potential in various sectors.

Explore the concept of prompt chaining in language model systems to enhance understanding and execution. Discover how breaking down prompts into smaller steps can optimize AI performance for complex tasks. Learn about the benefits of reflex muscle training in prompt engineering and how to optimize AI prompt chaining for improved performance.

Exploring the significance of prompt engineering in generative AI, understanding prompt patterns, comparing RTF and CREATE prompt patterns, exploring extensive capabilities of prompt engineering with LLMs in AI systems, discussing transformative potential of AI in education

Interview with Bernadette Berger, Director of Innovation at Alaska Airlines, discussing AI's impact on air travel, including personalized experiences, challenges in AI adoption, and future modalities of AI interaction in aviation technology.

Dr. Jag Singh, a professor at Harvard Med School, discusses AI's impact on medicine. Topics include personalized medicine, virtual care, sensor integration, disease prediction, and hyper-personalized healthcare. The podcast also explores AI in education and resources for AI project management.

In this podcast, Wei Li, VP/GM of AI Software Engineering at Intel, discusses AI being integrated everywhere in hardware and software. Topics include AI evolution at Intel, collaboration with Microsoft for AI in collaboration tools, the role of open source in AI development, AI implementation strategies, and future trends in AI applications.

Nuri Cankaya, VP of AI Marketing at Intel, discusses lowering barriers to entry for AI adoption. Topics include challenges in integrating AI with real-world data, Intel's efforts to make AI more accessible, collaborations for sustainable AI solutions, importance of energy-efficient products, utilizing appropriate tools for AI projects, and AI's future impact on society.

The podcast discusses AI's impact on healthcare with Dr. Jesse Ehrenfeld, President of the AMA. Topics include ethical AI in healthcare, trust and transparency in AI-driven platforms, augmented intelligence in healthcare workflows, and the future of AI in healthcare.