Let’s Ship It - with AWS! Generative AI

In this episode, we will demystify the world of generative AI. Our hosts and gen AI experts will cover the history and current state of generative AI, focusing on foundational concepts and terminologies, and highlight use-cases and applications for the real world.

In this episode, our hosts will provide you the tools to select the right model. We will map out use-cases from the real world with associated models. We will break down models and the magic behind them and cover topics such as evaluation frameworks, showcase leader boards, and how to select between open-source vs closed source models and tools.

In this episode, our hosts will present the solution and build out our application with foundation models. We will present the architecture and solution design as well as a demo of our Minimum Viable Product.

In this episode, we will dive deep into the different techniques we can use to make our generative AI models perform better for our use cases. We will cover the different tools and techniques such as Model Fine-tuning, Prompt Engineering and Retrieval Augmented Generation and how they can help us on our journey to build our application.

Our hosts will end this series discussing what’s next with generative AI and it will be shaping our future for years to come. We will demonstrate some of the current capabilities of generative AI models and tools and explore some of the latest advancements.

In this episode, we will demystify the world of generative AI. Our hosts and gen AI experts will cover the history and current state of generative AI, focusing on foundational concepts and terminologies, and highlight use-cases and applications for the real world.

In this episode, our hosts will provide you the tools to select the right model. We will map out use-cases from the real world with associated models. We will break down models and the magic behind them and cover topics such as evaluation frameworks, showcase leader boards, and how to select between open-source vs closed source models and tools.

In this episode, our hosts will present the solution and build out our application with foundation models. We will present the architecture and solution design as well as a demo of our Minimum Viable Product.

In this episode, we will dive deep into the different techniques we can use to make our generative AI models perform better for our use cases. We will cover the different tools and techniques such as Model Fine-tuning, Prompt Engineering and Retrieval Augmented Generation and how they can help us on our journey to build our application.

Our hosts will end this series discussing what’s next with generative AI and it will be shaping our future for years to come. We will demonstrate some of the current capabilities of generative AI models and tools and explore some of the latest advancements.

In this episode, we will demystify the world of generative AI. Our hosts and gen AI experts will cover the history and current state of generative AI, focusing on foundational concepts and terminologies, and highlight use-cases and applications for the real world.

In this episode, our hosts will provide you the tools to select the right model. We will map out use-cases from the real world with associated models. We will break down models and the magic behind them and cover topics such as evaluation frameworks, showcase leader boards, and how to select between open-source vs closed source models and tools.

In this episode, our hosts will present the solution and build out our application with foundation models. We will present the architecture and solution design as well as a demo of our Minimum Viable Product.

In this episode, we will dive deep into the different techniques we can use to make our generative AI models perform better for our use cases. We will cover the different tools and techniques such as Model Fine-tuning, Prompt Engineering and Retrieval Augmented Generation and how they can help us on our journey to build our application.

Our hosts will end this series discussing what’s next with generative AI and it will be shaping our future for years to come. We will demonstrate some of the current capabilities of generative AI models and tools and explore some of the latest advancements.

In this episode, we will demystify the world of generative AI. Our hosts and gen AI experts will cover the history and current state of generative AI, focusing on foundational concepts and terminologies, and highlight use-cases and applications for the real world.

In this episode, our hosts will provide you the tools to select the right model. We will map out use-cases from the real world with associated models. We will break down models and the magic behind them and cover topics such as evaluation frameworks, showcase leader boards, and how to select between open-source vs closed source models and tools.

In this episode, our hosts will present the solution and build out our application with foundation models. We will present the architecture and solution design as well as a demo of our Minimum Viable Product.

In this episode, we will dive deep into the different techniques we can use to make our generative AI models perform better for our use cases. We will cover the different tools and techniques such as Model Fine-tuning, Prompt Engineering and Retrieval Augmented Generation and how they can help us on our journey to build our application.

Our hosts will end this series discussing what’s next with generative AI and it will be shaping our future for years to come. We will demonstrate some of the current capabilities of generative AI models and tools and explore some of the latest advancements.