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Event

AI Meetup (November): Google Gemini, RAG and Enterprise AI

2024-11-19 – 2024-11-20 Meetup Visit website ↗

Activities tracked

3

** Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission.)

Description: Welcome to GenAI meetup in New York City. 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: Hidden Gems in Google Gemini: Automating Your Daily Grind Speaker: Frank Guan (Google) Abstract: Drowning in repetitive tasks and tedious coding? Google Gemini is your AI-powered life raft! This session explores how Gemini's cutting-edge capabilities can automate your workflow, boost your productivity, and unleash your creativity – all at a surprisingly affordable cost. Discover how its massive context window and multimodal understanding can transform the way you code, collaborate, and create.

Tech Talk: AI or not AI? Speaker: Aline Bessa (KNIME) Abstract: One of the latest innovations in Generative AI (GenAI) technology are Large Language Models (LLMs). You can exploit LLMs to solve many tasks that were incredibly challenging not that long ago, and some say you can solve anything with GenAI. But can you? Recently, we decided to reshape an old application for fraud detection by introducing AI in it. This talk is a summary of both our successful and failed attempts to solve everything with AI.

Tech Talk: Intelligent Autonomous Multi Agent AI Systems Speaker: Natan Vidra (Anote) Abstract: In this presentation, we will explore how intelligent autonomous multi-agent systems can revolutionize software development workflows. By leveraging collaborative multi-agent AI systems, developers and engineers can automate routine tasks and streamline complex processes. We will delve into the architecture of building multi-agent systems, talk about how to coordinate teams of AI agents that work together, discuss how to monitor and optimize these systems to be intelligent, and showcase real-world applications that highlight their potential to enhance productivity and efficiency.

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 400K+ worldwide.

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  • Event chat: chat and connect with speakers and attendees
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Sessions & talks

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AI or not AI?

2024-11-19
talk

One of the latest innovations in Generative AI (GenAI) technology are Large Language Models (LLMs). You can exploit LLMs to solve many tasks that were incredibly challenging not that long ago, and some say you can solve anything with GenAI. But can you? Recently, we decided to reshape an old application for fraud detection by introducing AI in it. This talk is a summary of both our successful and failed attempts to solve everything with AI.

Hidden Gems in Google Gemini: Automating Your Daily Grind

2024-11-19
talk
Frank Guan (Google)

Drowning in repetitive tasks and tedious coding? Google Gemini is your AI-powered life raft! This session explores how Gemini's cutting-edge capabilities can automate your workflow, boost your productivity, and unleash your creativity – all at a surprisingly affordable cost. Discover how its massive context window and multimodal understanding can transform the way you code, collaborate, and create.

Intelligent Autonomous Multi Agent AI Systems

2024-11-19
talk

In this presentation, we will explore how intelligent autonomous multi-agent systems can revolutionize software development workflows. By leveraging collaborative multi-agent AI systems, developers and engineers can automate routine tasks and streamline complex processes. We will delve into the architecture of building multi-agent systems, talk about how to coordinate teams of AI agents that work together, discuss how to monitor and optimize these systems to be intelligent, and showcase real-world applications that highlight their potential to enhance productivity and efficiency.