Mission: Generate

Dive into the heart of AI with "Mission Cloud Generate," a must-listen podcasts for tech professionals navigating the hyped landscape of generative AI. Join your hosts, Dr. Ryan Ries, Practice Lead, Data, Analytics, AI & Machine Learning, and Casey Samulski, Sr. Product Marketing Manager of Mission Cloud, as they strip back the buzz, focusing instead on real-world applications that drive business success and industry evolution. Ideal for IT decision-makers, the episodes debunk common misconceptions, moving beyond the limited narrative of chatbots to explore substantial, profit-generating use cases. Listen in for invaluable insights that differentiate genuine opportunities from the noise, empowering tech leaders to leverage generative AI's true potential in practical, transformative ways. Subscribe to "Mission Cloud Generate" – where cutting-edge tech meets grounded business reality. P.S. There are human voices on this podcast, but no humans talking—that's right, we used generative AI to synthesize all our conversations! Find out how we sound and tune in!

It's the Context, Bro 10/01/2025

It's the Context, Bro 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. /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/38373970

What Even is Agentic? 09/24/2025

What Even is Agentic? 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. /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/38346885

Revolutionizing Customer Experience with AI 03/19/2025

Revolutionizing Customer Experience with AI 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. /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/35766650

A Mixture of Experts 05/20/2024

A Mixture of Experts 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. /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/31359462

Running Smooth: LLMOps 03/21/2024

Running Smooth: LLMOps 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. /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/30461538

Special Guest: AI21 Labs 03/01/2024

Special Guest: AI21 Labs 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: Ways people are using large language models in the wild: /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/30189558

Mission AI21 Labs 02/29/2024

Mission AI21 Labs 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: Ways people are using large language models in the wild: /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/30151388

Images From Nothing 01/25/2024

Images From Nothing Show Notes: Jay Alammar’s visual guide to how StableDiffusion works: AWS’s blog on how to empower StableDiffusion with retrieval-augmented generation: AWS’s blog on getting started with StableDifussion using SageMaker Jumpstart: /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/29645078

Chatting with Bots 01/19/2024

Chatting with Bots 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: Amazon Q, a generative AI assistant: Andrej Karpathy on how hallucinations are a feature, not a bug, and not going away: /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/29550998

The REAL Ryan Ries and Casey Samulski 12/07/2023

The REAL Ryan Ries and Casey Samulski We’re back with another episode of Mission: Generate. This time though… with a special re:Invent twist. Meet the real Dr. Ryan Ries and Casey Samulski! They’ll be chatting about how the podcast was created, the future of Gen AI, patterns with customer Gen AI productions, and more. /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/28979283

Training 11/21/2023

Training In this episode, we explore some of the opportunities and complexities you’ll encounter training a large language model. We examine what happens, at a technical level, when you train and why training can be a great improvement in terms of cost and efficiency for a lot of problems you’d want to solve with generative AI. A real-life example of how we cut training times in half for a large, AI SaaS - Simon Willison’s article on Embeddings - AWS’s blog on using FSx and p4d instances to train large language models - Latent Space’s podcast on fine-tuning Llama-34B to beat GPT-4 in coding - AWS’s blog on fine-tuning and deploying Mistral-7B with SageMaker Jumpstart - /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/28727268

Call Centers 11/16/2023

Call Centers In this episode, we explore how generative AI is a game changer for call centers and call center software companies (CCaaS). We explore real use cases and the technology to support them that demonstrates what’s possible with a state-of-the-art AWS-native solution. AWS’s multi-part blog on integrating generative AI with call centers - Our blog on how to deploy AWS native machine learning services, like Lex - /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/28651978

All About Dubbing 11/09/2023

All About Dubbing In this episode, we explore how generative AI is automating media translation and building content dubbing pipelines for huge gains in both efficiency and cost. We explore a real solution we built for one of our customers, MagellanTV, to demonstrate what’s possible with a state-of-the-art AWS-native solution. A real-life example of a gen AI-powered dubbing pipeline we built for one of our customers: Amazon's blog on multi-language translation with Amazon Polly: About Amazon Titan, AWS's homegrown large language model: /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/28530779

Getting Gen AI Solutions into Production, Part 2 11/02/2023

Getting Gen AI Solutions into Production, Part 2 In this episode, which is part 2 of 2 on this topic, we continue our conversation about getting gen AI solutions into production. We discuss tuning and prompting, API request scaling, Amazon Bedrock, and the problems of probabilistic models + unpredictable humans. AWS’s explanation of what Bedrock is and how it works - An example of a real solution we built with Bedrock for a customer - Anyscale's blog on "Numbers every LLM Developer should know," including the average 1.3 tokens per word - Our blog on Frequently Asked Questions we hear from our customers on generative AI - Our offer of 1 free hour of consulting for scaling your generative AI solution - /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/28485419

Getting Gen AI Solutions into Production, Part 1 10/26/2023

Getting Gen AI Solutions into Production, Part 1 In this episode, which is part 1 of 2 on this topic, we talk about getting gen AI solutions into production. We discuss cost and scale in terms of data architecture, running and training models, dealing with their unpredictability, and the challenges all of this can introduce when building a full-scale gen AI solution. Our AWS marketplace offer for scaling your generative AI solution - Our blog on Frequently Asked Questions we hear from our customers on generative AI - Fine-tuning advice and cost considerations from Hugging Face and AWS - AWS's guidelines for training large language models using SageMaker - Llama 2, Meta's local models, which are available at 7B, 13B, and 70B parameters - /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/28419431

Intelligent Document Processing 10/19/2023

Intelligent Document Processing In this, our first episode, Dr. Ryan Ries guides us through the changes to intelligent document processing and how major industries like healthcare, finance, and law, all will change because of the advent of generative AI. Resources: Here's a blog where we discuss multiple different use cases for intelligent document processing - Here's AWS's own blog on how IDP is empowered by generative AI - Here's how AWS defines a foundation model- Check us out on the AWS Smart Business Hub - Here's our marketplace offer for a free hour consulting on your IDP solution - If you just want to talk about Gen AI more generally, we also offer a free hour to consult on that - /episode/index/show/28fc9f87-4769-48c8-a437-29ed2149e30e/id/28345724

Mission: Generate

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