Name: AI Huddle + Stanford BIOME: "Using AI/LLMs to Control the OT-2 Robot"
Start: 2024-11-05T17:45:00-08:00
End: 2024-11-05T19:15:00-08:00
Location: Shriram Center for Bioengineering and Chemical Engineering

**Date:** Tuesday, November 5th
**Time:**
5:45 PM: Arrival & Networking
6:00 PM: Workshop Begins
**Location:** Stanford Bioengineering Building (UTL Lab)
Join us for an innovative hands-on workshop at the intersection of artificial intelligence and laboratory automation! Learn how to harness the power of Large Language Models (LLMs) like Google's Gemini to control the OT-2 liquid handling robot, revolutionizing the way we approach laboratory automation.

* **Interactive Demonstration**: Experience firsthand how LLMs can intelligently control robotic systems
* **Hands-on Practice**: Get practical experience working with the OT-2 robot through guided exercises
* **Expert-led Session**: Learn best practices for integrating AI with laboratory automation
* **Networking**: Connect with fellow enthusiasts in the AI and biotech communities

**Why to attend?**

* Gain practical experience with cutting-edge AI-robot integration
* Network with professionals and enthusiasts
* Enjoy complimentary pizza and refreshments while learning

⚠️ **Building Access**: The building requires card access. Door manning will end at 6:00 PM sharp - please arrive on time!

Daniel Goncharov

AI Huddle - Bay Area

Technology

Open Source

Artificial Intelligence

Natural Language Processing

Machine Learning

Data Analytics

Predictive Analytics

Neural Networks

Artificial Intelligence Applications

Machine Intelligence

Data Science

Artificial Intelligence Programming

Deep Learning

Machine Learning In Cloud

Machine Learning Apps

Jonathan Laplante 

Kevin Shin

Ted Yu

Shantanu Pai

Aybuke

Lina

Jose Miguel Arrieta 

AI Huddle + Stanford BIOME: "Using AI/LLMs to Control the OT-2 Robot"

Biotechnology

Robotics

Shriram Center for Bioengineering and Chemical Engineering

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AI Huddle - Bay Area

AI Huddle + Stanford BIOME: "Using AI/LLMs to Control the OT-2 Robot"

AI Huddle - Bay Area

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