Generative AI: How the World Will Evolve Around It?

Abstract: Large models have recently advanced, and became readily available. Their ability to adapt to new tasks with no prior training, multimodal nature, and applicability to many use cases make them the biggest technology breakthrough of the last decade. In this talk, I will discuss key properties and short-comings of large models, and demonstrate various use cases. Finally, we will cover relevant issues, such as grounding large models with facts, multimodal models, and tuning them. Biography: As general manager and VP of engineering at Google Cloud AI and industry solutions, Burak oversees the teams creating products and solutions that empower every enterprise to transform their business with AI, including products that require little to no AI or machine learning expertise. This unique portfolio includes a unified platform to serve large models via Vertex AI, Unified Cloud Search, DocumentAI, and Conversational AI, along with industry solutions focused on healthcare, retail, media, and financial services He also oversees development of ML technologies such as generative AI-based large language models and their application for real-world industry problems. Burak has been in the AI/machine learning field for more than 25 years, published more than 40 papers, and holds more than 50 patents/patent applications. Burak received his MS and PhD degrees in electrical engineering from Stanford University and double BS degrees in electrical engineering and computer science from Boğaziçi University.