Episodes

  • Inference, Guardrails, and Observability for LLMs with Jonathan Cohen
    Nov 9 2024

    In this episode of AI Explained, we are joined by Jonathan Cohen, VP of Applied Research at NVIDIA.

    We will explore the intricacies of NVIDIA's NeMo platform and its components like NeMo Guardrails and NIMS. Jonathan explains how these tools help in deploying and managing AI models with a focus on observability, security, and efficiency. They also explore topics such as the evolving role of AI agents, the importance of guardrails in maintaining responsible AI, and real-world examples of successful AI deployments in enterprises like Amdocs. Listeners will gain insights into NVIDIA's AI strategy and the practical aspects of deploying large language models in various industries.

    Show more Show less
    53 mins
  • What the EU AI Act Really Means with Kevin Schawinski
    Oct 25 2024

    On this episode, we’re joined by Kevin Schawinski, CEO and Co-Founder at Modulos AG

    The EU AI Act was passed to redefine the landscape for AI development and deployment in Europe. But what does it really mean for enterprises, AI innovators, and industry leaders?

    Schawinski will share actionable insights to help organizations stay ahead of the EU AI Act, and discuss risk implications to meeting transparency requirements, while advancing responsible AI practices.

    Show more Show less
    46 mins
  • Productionizing GenAI at Scale with Robert Nishihara
    Jul 29 2024

    In this episode, we’re joined by Robert Nishihara, Co-founder and CEO at Anyscale.

    Enterprises are harnessing the full potential of GenAI across various facets of their operations for enhancing productivity, driving innovation, and gaining a competitive edge. However, scaling production GenAI deployments can be challenging due to the need for evolving AI infrastructure, approaches, and processes that can support advanced GenAI use cases.

    Nishihara will discuss reliability challenges, building the right AI infrastructure, and implementing the latest practices in productionizing GenAI at scale.

    Show more Show less
    48 mins
  • Metrics to Detect Hallucinations with Pradeep Javangula
    May 2 2024

    In this episode, we’re joined by Pradeep Javangula, Chief AI Officer at RagaAI

    Deploying LLM applications for real-world use cases requires a comprehensive workflow to ensure LLM applications generate high-quality and accurate content. Testing, fixing issues, and measuring impact are critical steps of the workflow to help LLM applications deliver value.

    Pradeep Javangula, Chief AI Officer at RagaAI will discuss strategies and practical approaches organizations can follow to maintain high performing, correct, and safe LLM applications.

    Show more Show less
    59 mins
  • AI Safety and Alignment with Amal Iyer
    Mar 7 2024

    In this episode, we’re joined by Amal Iyer, Sr. Staff AI Scientist at Fiddler AI.

    Large-scale AI models trained on internet-scale datasets have ushered in a new era of technological capabilities, some of which now match or even exceed human ability. However, this progress emphasizes the importance of aligning AI with human values to ensure its safe and beneficial societal integration. In this talk, we will provide an overview of the alignment problem and highlight promising areas of research spanning scalable oversight, robustness and interpretability.

    Show more Show less
    57 mins
  • Managing the Risks of Generative AI with Kathy Baxter
    Jan 23 2024

    On this episode, we’re joined by Kathy Baxter, Principal Architect of Responsible AI & Tech at Salesforce.

    Generative AI has become widely popular with organizations finding ways to drive innovation and business growth. The adoption of generative AI, however, remains low due to ethical implications and unintended consequences that negatively impact the organization and its consumers.

    Baxter will discuss ethical AI practices organizations can follow to minimize potential harms and maximize the social benefits of AI.

    Show more Show less
    57 mins
  • Legal Frontiers of AI with Patrick Hall
    Dec 21 2023

    On this episode, we’re joined by Patrick Hall, Co-Founder of BNH.AI.

    We will delve into critical aspects of AI, such as model risk management, generating adverse action notices, addressing algorithmic discrimination, ensuring data privacy, fortifying ML security, and implementing advanced model governance and explainability.

    Show more Show less
    59 mins
  • Building Generative AI Applications for Production with Chaoyu Yang
    Sep 29 2023

    On this episode, we’re joined by Chaoyu Yang, Founder and CEO at BentoML.

    AI-forward enterprises across industries are building generative AI applications to transform their businesses. While AI teams need to consider several factors ranging from ethical and social considerations to overall AI strategy, technical challenges remain to deploy these applications into production.

    Yang, will explore key aspects of generative AI application development and deployment.

    Show more Show less
    59 mins