5:30 午後 - 6:00 午後 (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 kickoff episode, we’ll set the stage for season 1 by talking about the models we’ll spotlight. Then, we’ll do a deep dive into GitHub Models and show you how you can get started with exploring these hands-on today, with just a GitHub account! Session Resources: https://aka.ms/model-mondays - Series Repo https://aka.ms/model-mondays/discord - Office Hours https://aka.ms/model-mondays/collection - Learning Resources

5:30 午後 - 6:00 午後 (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 午後 - 6:00 午後 (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 午後 - 6:00 午後 (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 午後 - 6:00 午後 (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 午後 - 6:00 午後 (UTC)

In this episode, we’ll go hands on with local AI development by putting the spotlight on the AI Toolkit for Visual Studio Code. Join us as we speak to Rong Lu (Principal PM, Microsoft) to learn how this tool helps developers build intelligent apps using generative AI models deployed locally or in the cloud -with support for development, testing, fine-tuning and more. 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 午後 - 6:00 午後 (UTC)

Join us for Episode 07 of Season 1 of #ModelMondays as we put the spotlight on open-source and AI development with a look at the Meta #Llama4 herd of recently released models. Huge props to Alexander Hughes for giving us an introduction to the Llama4 capabilities and to Pamela Fox for a hands-on look at multimodal features and more. 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 午後 - 6:00 午後 (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