In this episode of Mission: Generate, Ryan Ries and Casey explore the practical side of building agentic AI systems. They explain how Model Context Protocol (MCP) works, why security guardrails are critical, and what it takes to run agents safely in production. The conversation covers context windows, failure risks, prompt injection, and best practices for monitoring and rollback.

In this episode of Mission Generate, Ryan Ries and Casey explore agentic AI, what it is, why it matters, and how it can both unlock new capabilities and introduce serious risks. One story even involves a model deleting a user's computer. They break down how agents work, when to use them, and how to guard against unintended consequences.

In this conversation, David Cady from Netfor discusses the evolution of AI and IVR technologies, emphasizing the importance of user experience and knowledge management. The discussion covers the challenges of implementing AI solutions, the significance of data quality, and the potential future advancements in virtual agents and customer interactions. The conversation also touches on public perception of AI and its implications for product development.

In this episode, we delve into the power of AWS and the cutting-edge techniques used to create generative AI solutions for real customers. We will explore Mixture of Experts architecture, a key component in the development of language models like Mixtral, and its impact on model performance and cost efficiency. Tune in for expert insights, engaging discussions, and practical advice on navigating the evolving field of AI.

In this episode, we're diving deep into the world of Large Language Model Operations, or LLMOps for short. This subject can be a bit technical, but by the end of our chat today, you'll see why it's crucial for anyone looking to harness the full potential of Generative AI.

Welcome to a special guest episode of Mission: Generate, where we dive into AWS's role in developing state-of-the-art generative AI solutions with real-world applications. Dr. Ryan Ries and Casey Samulski are joined by Dan Padnos, VP of Engineering at AI 21 Labs, to discuss their advancements with Jurassic-2 and other large language models, addressing challenges like hallucinations and the intricacies of engineering production-grade AI systems. Tune in for an engaging dialogue between real humans this time, exploring the frontiers of AI technology and its potential to revolutionize industries.

Show Notes:
Understanding guardrails: https://towardsdatascience.com/safeguarding-llms-with-guardrails-4f5d9f57cff2
Ways people are using large language models in the wild: https://news.ycombinator.com/item?id=38742311

Show Notes:

• Jay Alammar's visual guide to how StableDiffusion works: https://jalammar.github.io/illustrated-stable-diffusion/
• AWS's blog on how to empower StableDiffusion with retrieval-augmented generation: https://aws.amazon.com/blogs/machine-learning/improve-your-stable-diffusion-prompts-with-retrieval-augmented-generation/
• AWS's blog on getting started with StableDifussion using SageMaker Jumpstart:
  https://aws.amazon.com/blogs/machine-learning/use-stable-diffusion-xl-with-amazon-sagemaker-jumpstart-in-amazon-sagemaker-studio/

In today's episode we're going to talk about chatbots, a use case for Gen AI that everyone thinks they know already but which few understand. Chatting with a large language model is how the world was first introduced to the potential of this technology and it's still the preferred interface for many solutions. But we're going to examine the potential for this style of interaction and show why there are opportunities for a diversity of businesses but also many potential risks.

• AWS's blog on new Lex features for building chatbots: https://aws.amazon.com/blogs/machine-learning/elevate-your-self-service-assistants-with-new-generative-ai-features-in-amazon-lex/
• Amazon Q, a generative AI assistant: https://aws.amazon.com/q/
• Andrej Karpathy on how hallucinations are a feature, not a bug, and not going away: https://twitter.com/karpathy/status/1733299213503787018