NY AI December 4th
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
Intro by Joshua
Say Yes to High Stakes Decisions and Heavy Regulations by Chloe Zhu
How AI can be applied in high stake decisions like credit underwriting in a heavily regulated industry like financial services. Field notes from Ensemblex, leader in applying AI in finance for over a decade.
Making LLMs more transparent: Advanced Source Controls & Reasoning by Nana Miyashita
Be 10x more productive with AI by limiting which web sources to pull from and by employing a PhD level reasoning agent to research complex topics. Hear from Nana Mayashita (PM at You.com, ex-Meta) about how you.com built these two features and how to use them for work.
Building an LLM Product from Scratch by Dev Rishi Khare
We will cover the fundamentals of the new paradigm of setting up a reliable machine learning pipeline and dive into the orchestration and fine-tuning techniques necessary for a robust LLM product. The talk will focus on debunking well known AI myths along with a focus on owning your own AI solutions and ethics.
Wrap Up
Pizza, Drinks & Networking