In this session, we'll learn how developers of all skill levels can use the Gemini API to build cutting-edge AI applications, regardless of programming language. Discover how to leverage Gemini's unique features for responsible AI, Google Search integration, custom data grounding, and more and the benefits and trade-offs for each model.
talk-data.com
Activities tracked
3
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Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers.
Tech Talk: Using Generative AI and Diffusers with Cloudera Machine Learning (CML) and Posit Speaker: Kenton Davis (Cloudera), Rika Gorn (Posit) Abstract: In this session, we will explore the architecture of Diffusers models and discuss components such as VAE and UNet. An example will be presented of how to combine text-to-image and image-to-image into one data pipeline with the Cloudera Data Platform (CDP). Specific emphasis will be placed on using ControlNet, PyTorch, and metadata persistence within CDP for editing images.
Tech Talk: Next-Gen AI for Developers Speaker: Allen Firstenberg (Objective) Abstract: In this session, we'll learn how developers of all skill levels can use the Gemini API to build cutting-edge AI applications, regardless of programming language. Discover how to leverage Gemini's unique features for responsible AI, Google Search integration, custom data grounding, and more and the benefits and trade-offs for each model.
Tech Talk: Testing LLMs in web applications Speaker: Haldun Anil (Braze) Abstract: In this talk I will go over how I think about testing applications that integrate LLMs. I will go over what the challenges of writing such applications are and go over a few tools that are out there to overcome these challenges.
Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 350K+ worldwide.
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Sessions & talks
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Testing LLMs in web applications
2024-07-18
In this talk I will go over how I think about testing applications that integrate LLMs. I will go over what the challenges of writing such applications are and go over a few tools that are out there to overcome these challenges.
In this session, we will explore the architecture of Diffusers models and discuss components such as VAE and UNet. An example will be presented of how to combine text-to-image and image-to-image into one data pipeline with the Cloudera Data Platform (CDP). Specific emphasis will be placed on using ControlNet, PyTorch, and metadata persistence within CDP for editing images.