AI Summer 2026에 대한 개요. Inferencing and training에 대한 실용적인 응용과 함께 유전 AI에 대한 소개 5월 5-30, 2026

Vanderbilt Data Science Institute 데이터 과학자 발표 :

• Jesse Spencer-Smith 박사, 최고 데이터 과학자
• Umang Chaudhry, 수석 데이터 과학자
• Myranda Shirk, 수석 데이터 과학자

개요

이 워크샵의 목적은 이해, 인페런싱 및 교육 유전 AI 모델 및 기타 변압기 모델에 기초 기술을 개발하는 것입니다.

AI Summer에 대한 준비

계정 얻기

액세스 할 수있는 가장 진보 된 AI 채팅 모델을 사용하고 싶습니다. headstart를 얻으려면 https://claude.ai/ 으로 계정을 만드십시오. Claude, Claude Cowork 및 Claude Code를 사용하여 Signficant 시간을 보낼 것입니다. 이 도구에 대한 액세스를 얻기 위해 유료 클로드 계정에 가입하십시오.

프로젝트의 결정 (추천)

어떤 데이터에 대해 생각하면 작업장에 가져올 수 있습니다. 또한 우리의 달 동안 수행 할 수있는 프로젝트에 대해 생각을 시작합니다. 우리는 당신이 우리와 함께 일하기 위해 사무실 시간을 가지고있어 땅에서 첫 번째 프로젝트를 얻을!

작업장 계획 및 기록

AI Summer

Summary repository for AI Summer 2026. Introduction to generative AI, with practical applications for inferencing and training May 5-30, 2026

Presented by Vanderbilt Data Science Institute data scientists:

• Dr. Jesse Spencer-Smith, Chief Data Scientist
• Umang Chaudhry, Senior Data Scientist
• Myranda Shirk, Senior Data Scientist

Overview

The objective of these workshops is to develop foundational skills in understanding, inferencing and training generative AI models and other transformer models.

Getting Ready for AI Summer

Getting Accounts

You’ll want to use the most advanced AI chat model that you can get access to. To get a headstart, please create an account with https://claude.ai/ . We will be spending a signficant time using Claude, Claude Cowork and Claude Code. Please sign up for a paid Claude account to gain access to these tools.

Decide on a Project (recommended)

Think about any data you might want to bring to the workshop. Also begin thinking about any projects you might want to accomplish during our month. We’ll have office hours for you to work with us to get your first project off the ground!

Workshop Schedule and Recordings

Session will run live from 11am-1pm, with an office hour from 1pm to 2pm (all times Central).

All session recordings are posted to the AI Summer 2026 YouTube playlist.

Week 1

Day 1 — Tuesday, May 5, 2026

Topics covered:

• Working with secure data: Vanderbilt’s data classification levels (1–4) and the AI tool that fits each one
• Opting out of training, ChatGPT EDU, Vanderbilt’s Amplify, and where Claude / Cowork / Code fall in the framework
• Working locally: open-source models, quantization, distillation, and PEFT
• Demo: LM Studio for fully-local model use
• Tour of Claude Chat vs. Claude Cowork vs. Claude Code (desktop and CLI)
• What separates a chat from an agent: planning, task files, sub-agents, evaluation
• How LLMs actually work: tokens, embeddings, attention, MLP, temperature
• Context as the central problem: tools, MCPs, RAG, and context rot
• Skills and the agent harness (“Agent 2.0”); progressive disclosure
• Live build: co-creating a “sensitive field detector” skill in Claude Cowork

Resources:

• Lecture notes
• Recording on YouTube

Day 2 — Thursday, May 7, 2026

Topics covered:

• Recap: chat vs. agent (replay), and what “Agent 2.0” means
• Walkthroughs of two real skills: the sensitive-field detector and the lecture-recording-to-lecture-notes skill that produced these notes