Mindstone / Anote NY May AI Meetup

CIBC New York, 300 Madison Avenue, New York, USA

NY AI May 7th 2025 Welcome to the biggest Practical AI Meetup in NYC! Join us once a month as we explore the world of artificial intelligence, its cutting-edge practical applications, and the astonishing projects that are shaping our future. Why should you attend? Get up close and personal with the AI projects that are redefining the boundaries of technology and human potential. Learn from the brightest minds in the field and gain valuable insights into the ever-evolving AI landscape. Unleash your curiosity, fuel your creativity, and expand your network as you connect with fellow AI aficionados and pioneers. What you can expect? Mindstone events consist of three talks covering different aspects: What I Learned Building With LLMs: A technical talk breaking down the process for building a product using AI with real-life learnings and insights. How To Be More Productive Using AI: A practical demo and step-by-step guide on how to use AI to speed up and improve tasks. What Does The Future Look Like With AI?: A theoretical talk on the impact of AI on work, life and society. After the talks we'll have pizza, drinks, and time to connect with everyone around you. Don't miss the opportunity to see what's really happening in AI - you'll be surprised at what's already possible today. We have limited spots available, so get your ticket ahead of time to avoid disappointment!

Agenda

Doors Open

Welcome to the event

Introduction

Welcome and event introduction

How AI can help you understand and apply scientific publications by Haoyun Feng

In this talk, we'll explore how AI techniques, specifically Large Language Model (LLM) agents and Retrieval Augmented Generation (RAG), can help you quickly and easily comprehend complex research papers, extracting key insights and identifying practical applications. The session will include a live demonstration showcasing how to build an interesting innovative project leveraging learnings from scientific papers.

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Investigating the Effects of Domain-Specific Fine-Tuning on LLM Reasoning

Fine-tuning LLMs on domain-specific data improves performance on benchmarks, but to what degree does it benefit real-world applications? This investigation, which was recently published at a European AI & Law conference, analyzed the extent to which fine-tuning an LLM on legal data enabled it to improve its utilization of legal domain-specific concepts in the way attorneys formulate and use them every day, with surprising implications for model selection and training regime formulation.

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How LLMs improve in-site search by Uri Goren

When we think of large language models, we instinctively picture ChatGPT. OpenAI’s early dominance made “chatbots” the default LLM interface. But here’s the thing—we don’t need more chatbots. Conversational UIs are often clunky and unnecessary for many user needs. Instead, we believe the real opportunity lies in supercharging the classic search bar. This talk will challenge the chatbot-first mindset and show how LLMs can quietly but powerfully transform in-site search experiences—driving better results, boosting user satisfaction, and increasing retention. We’ll share practical, low-effort strategies to win in search without falling into the chatbot hype.

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Wrap Up

Closing remarks and next steps

Pizza, Drinks & Networking

Casual networking with food and drinks

Speakers

Attendees

Details

Free - 69 spots left

CIBC New York, 300 Madison Avenue, New York, USA

Location