5:30 p. m. - 6:00 p. m. (UTC)

Join us for Model Mondays – a weekly show where we round up all the latest AI model news and put one model in the spotlight for a deeper dive. In this episode, we’re joined by Jennifer Marsman as we dive into the world of reasoning models. We’ll get hands-on with the o1 series of models and more as we learn what these models can do, how they work, and how you can use them most effectively for your generative AI application needs. Session Resources: https://aka.ms/model-mondays https://aka.ms/model-mondays/discord https://aka.ms/model-mondays/collection

5:30 p. m. - 6:00 p. m. (UTC)

In this episode, we’ll dive into the world of retrieval augmented generation (RAG). We’ll explore models that can improve the accuracy of search, retrieval and semantic relevance of returned results – and how you can use them to ground your generative AI app in your data! https://aka.ms/model-mondays - Explore All Resources https://aka.ms/model-mondays/chat - Continue The Conversation https://aka.ms/model-mondays/collection - Explore The Model Cards https://aka.ms/model-mondays/newsletter - Get The Weekly Recaps

5:30 p. m. - 6:00 p. m. (UTC)

In this episode, we’ll dive into the world of visual generative AI and learn how text-to-image and image-to-image capabilities can help us generate high-quality imagery with the power of a single prompt. Popular use cases include style transfer, image restoration - given a seed image. https://aka.ms/model-mondays - Explore All Resources https://aka.ms/model-mondays/chat - Continue The Conversation https://aka.ms/model-mondays/collection - Explore The Model Cards https://aka.ms/model-mondays/newsletter - Get The Weekly Recaps

5:30 p. m. - 6:00 p. m. (UTC)

In this episode, we’ll dive into the word of fine-tuning for AI model customization. We’ll discuss how it works, when to use it, and tradeoffs to know when choosing this option. And we’ll look at core tools and workflows for performant fine-tuning. https://aka.ms/model-mondays - Explore All Resources https://aka.ms/model-mondays/chat - Continue The Conversation https://aka.ms/model-mondays/collection - Explore The Model Cards https://aka.ms/model-mondays/newsletter - Get The Weekly Recaps

5:30 p. m. - 6:00 p. m. (UTC)

In this episode, we’ll dive into the world of synthetic data generation for use cases like model evaluation or education. We’ll discuss requirements and challenges for synthetic dataset creation and explore AI systems that help streamline the process. https://aka.ms/model-mondays - Explore All Resources https://aka.ms/model-mondays/chat - Continue The Conversation https://aka.ms/model-mondays/collection - Explore The Model Cards https://aka.ms/model-mondays/newsletter - Get The Weekly Recaps

5:30 p. m. - 6:00 p. m. (UTC)

In this episode, we’ll dive into the topic of open source vs. open-weights models, and growing support for open-source "stacks" that codify best practices for popular model families in ways that speed up application development. https://aka.ms/model-mondays - Explore All Resources https://aka.ms/model-mondays/chat - Continue The Conversation https://aka.ms/model-mondays/collection - Explore The Model Cards https://aka.ms/model-mondays/newsletter - Get The Weekly Recaps

5:30 p. m. - 6:00 p. m. (UTC)

In this episode, we’ll dive into the topic of domain-specific models with a look at forecasting models trained on time-series data. This allows for predictions and anomaly detection use cases without typical training costs and latency of traditional approaches. Learn how this works, and when to use it effectively in your generative AI applications. https://aka.ms/model-mondays - Explore All Resources https://aka.ms/model-mondays/chat - Continue The Conversation https://aka.ms/model-mondays/collection - Explore The Model Cards https://aka.ms/model-mondays/newsletter - Get The Weekly Recaps