NVIDIA AI Podcast

Alex Kendall, CEO of Wayve, discusses AV 2.0 and the importance of hardware and software in autonomous vehicles. Generative AI plays a key role in training and simulating novel driving scenarios. Language is significant in controlling AI systems and building trust. Future steps include integrating tools, deploying AV 2.0, and investing in data collection and AI innovation.

NVIDIA's Annamalai Chockalingam discusses the rise of LLMs in the latest episode of The AI Podcast. LLMs are deep learning algorithms that can recognize, summarize, translate, predict, and generate language. Enterprises are using LLMs to drive innovation and gain a competitive advantage. The podcast touches on the role of LLMs in the generative AI movement, AI safety, the fast pace of innovation in the LLM world, Nemo and Megatron L in AI model development, and the current state and future direction of LLMs.

Nathan Fenner, cofounder and president of Afresh, an AI startup that helps reduce food waste, discusses how their platform optimizes supply chains for grocery stores. They use machine learning and AI models to handle messy data generated by fresh produce, leading to informed decisions. They also address the challenges of managing supply chains for grocers, emphasizing the importance of efficiency and the opportunity to transform the food industry.

Aengus Tran, Co-founder of Annalise.ai, discusses using AI as a spell check for health checks. The episode focuses on the development and deployment of AI systems for radiologists and pathologists. The challenges of training AI for medical diagnosis, the potential for faster and more accurate diagnoses, and the ethical implications of AI in healthcare are also explored.

Julia Stoyanovich, NYU professor and director of Center for Responsible AI, discusses responsible AI, NYC's bias-free hiring software law, transparency in AI models, and the need for skepticism and critical thinking in an AI-driven world.

NVIDIA's Jim Fan discusses using large language models to create AI agents, focusing on the development of Voyager, an AI bot built with Chat GPT-4 that can autonomously play Minecraft. The podcast explores the concept of AI agents and their relationship to large language models, training models on video data, the capabilities of language models in Minecraft, and the industry impact and applications of large language models.

Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA, discusses the potential of generative AI in scientific research, including predicting dangerous coronavirus variants and extreme weather events. She explains the challenges of working with genomes and the importance of fine-tuning models. They also explore the concept of model cards for transparency and automated testing for bias in AI models. Anandkumar provides advice for aspiring individuals in technology and science fields, emphasizing continuous learning and asking the right questions.

In this episode, host Noah Kravitz speaks with Ofir Krakowski, AI dubbing and translation technology expert. They discuss how Deepdub uses AI-driven dubbing to improve efficiency, cut costs, and increase accessibility in the entertainment industry. Deepdub offers a web-based platform that handles translation, voice generation, and audio mixing. They highlight the challenges of language subtleties and the importance of human verification. The speakers also discuss the use of facial expressions and body language to improve translation accuracy, the impact of generative AI models for audio dubbing, and the potential for generating video content to match new audio.

Replit CEO Amjad Masad discusses the company's aim to reduce friction between ideas and software using AI. Their Ghostwriter coding AI provides intelligent code suggestions, explanations, and error flags. They are also developing 'make me an app' functionality to make software creation accessible to all. Masad envisions a future where AI collaborates with programmers.

The world increasingly runs on code. Accelerating the work of those who create that code will boost their productivity — and that’s just what AI startup Codeium, a member of NVIDIA’s Inception program for startups, aims to do. On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed Codeium founder and CEO Varun Mohan and Jeff Wang, the company’s head of business, about the company's business, about how AI is transforming software. Codeium's AI-powered code acceleration toolkit boasts three core features: autocomplete, chat and search. Autocomplete intelligently suggests code segments, saving developers time by minimizing the need for writing boilerplate or unit tests. At the same time the chat function empowers developers to rework or even create code with natural language queries, enhancing their coding efficiency while providing searchable context on the entire code base. Noah spoke with Mohan and Wang about the future of software development with AI, and the continued, essential role of humans in the process.