As AI capabilities advance rapidly, it’s now easier than ever for new companies to create intelligent apps, solutions, and services that attract customers and drive growth. We sat down with startup leaders, investors, and AI experts to shed light on the use of AI and large language models (LLMs) to help deepen your understanding of AI and LLMs. Watch as we gain insights and practical tips from AI leaders and Microsoft experts, covering foundational knowledge to intricate concepts. Discover how they address questions about rapidly evolving AI models, how ChatGPT is transforming organizations, and how to optimize LLMs.
Watch founders and AI experts answer questions about AI
Luis Vargas, technical advisor to the Microsoft CTO, talks with Paroma Varma, Co-Founder of Snorkel AI, which has created a data-centric platform that helps companies and government agencies accelerate AI application development. Their discussion delves into the challenges of staying current with AI, creating value with it, considerations when building AI apps, and assessing production readiness through AI models.
Theodore Summe, Senior Director of AI at Microsoft, talks with Sarah Guo, Venture Capitalist and Founder of Conviction, a venture firm built to serve AI-native, “Software 3.0” companies. They explore opportunities for startups in AI, the importance of testing and validating solutions before investing in AI training, and how AI can reduce costs, which startups can then pass on to their customers as they build their sales.
Ashley Llorens, Vice President at Microsoft Research, talks with Pascal Bornet, an author, founder, AI advisor, and member of the Forbes Technology Council and Intelligent Automation Advisory. In their videos, they discuss the use of AI for automation and augmentation, how GPT is driving organizational change, and responsible AI and self-governance. They also emphasize the importance of transparency with customers regarding AI and data usage.
Sébastien Bubeck, ML Foundations Lead at Microsoft Research, talks with William Hinthorn, Machine Learning Engineer at LangChain, a framework for developing applications powered by language models. Their conversation covers making LLMs more predictable and effectively evaluating and enhancing their output.
Johannes Gehrke, Lab Director at Microsoft Research, Redmond, talks with Alex Graveley, Founder of Minion AI (still in its launching phase) and an early contributor to Github Copilot. They explore how to improve LLM prompts to produce optimal results in AI-powered applications.
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