AI Engineer topic

Data and model adaptation

92 AI Engineer conference talks about Data and model adaptation.

AI Engineer World's Fair 202617:50

6 Things to Know about AIE World's Fair 2026

Shawn "swyx" Wang

Finance · Data and model adaptation · Coding and developer tools

AI Engineer World's Fair 202519:21

A Taxonomy for Next-Generation Reasoning Models

Nathan Lambert

Reasoning and models · Coding and developer tools · Data and model adaptation

AI Engineer Code 202516:55

Agent Reinforcement Fine Tuning

Will Hang · Cathy Zhou

Data and model adaptation · Agent engineering · Coding and developer tools

AI Engineer Code 202517:37

Agents are Robots Too: What Self-Driving Taught Me About Building Agents — Jesse Hu, Abundant

Jesse Hu

Enterprise · RAG, context, and search · Data and model adaptation

AI Engineer Europe 202614:21

Agents need more than a chat

Jacob Lauritzen

Coding and developer tools · Industry applications · Agent engineering

AI Engineer Code 202515:56

AGI: The Path Forward

Eiso Kant · Jason Warner

Infrastructure and deployment · Leadership · APIs, MCP, and protocols

AI Engineer World's Fair 202414:36

AI Frontiers in Trust and Safety: Combatting Multifaceted Harm on Tinder at Scale

Vibhor Kumar

Data and model adaptation · Safety and governance

AI Engineer Summit 202517:44

Beyond APIs: How AI Web Agents Are Automating the "Long Tail" of Knowledge Work

Arjun Chintapalli · Bhavani Kalisetty

Agent engineering · Data and model adaptation · RAG, context, and search

AI Engineer World's Fair 202619:03

Bringing Continual Learning into Enterprises

Samuel Denton

Data and model adaptation · Enterprise · Safety and governance

AI Engineer Summit 202516:57

Building AI-Powered Developer Tools at Jane Street

John Crepezzi

APIs, MCP, and protocols · Data and model adaptation · Coding and developer tools

AI Engineer Code 202515:36

Building Cursor Composer

Lee Robinson

Safety and governance · Infrastructure and deployment · Coding and developer tools

AI Engineer Europe 202640:46

Building Generative Image & Video Models at Scale

Sander Dieleman

Architecture · Data and model adaptation · Creative and generative media

AI Engineer World's Fair 202616:41

Computer-Use 2.0: Agents Just Got Multi-Cursor

Francesco Bonacci · Dillon DuPont · Robert Wendt

Agent engineering · Infrastructure and deployment · Data and model adaptation

AI Engineer World's Fair 202622:35

Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI

Soheil Feizi

Other / unclassified · Agent engineering · Data and model adaptation

AI Engineer Summit 202524:22

Creating Agents That Co-Create

Karina Nguyen

Data and model adaptation · Coding and developer tools · Enterprise

AI Engineer World's Fair 202619:12

Data and Environment Curation for Post-training LLMs

Mahesh Sathiamoorthy

Coding and developer tools · Reasoning and models · Data and model adaptation

AI Engineer World's Fair 202520:10

Data is Your Differentiator: Building Secure and Tailored AI Systems

Mani Khanuja

Data and model adaptation · Safety and governance · RAG, context, and search

AI Engineer World's Fair 202619:05

Data Quality is the Compute Multiplier

Ari Morcos

Data and model adaptation · Infrastructure and deployment · Industry applications

AI Engineer World's Fair 202418:16

Decoding Mistral AI's Large Language Models

Devendra Chaplot · Devendra Singh Chaplot

Evals · Coding and developer tools · RAG, context, and search

AI Engineer Code 202520:52

Developing Taste in Coding Agents: Applied Meta Neuro-Symbolic RL — Ahmad Awais, Command Code

Ahmad Awais

Coding and developer tools · Other / unclassified · Data and model adaptation

AI Engineer Summit 202325:09

Domain adaptation and fine-tuning for domain-specific LLMs

Abi Aryan

Reasoning and models · Infrastructure and deployment · RAG, context, and search

AI Engineer World's Fair 202616:46

Don't be data poor

Anuj Iravane

Data and model adaptation · Healthcare

AI Engineer Code 202520:19

Efficient Reinforcement Learning

Rhythm Garg · Linden Li

Data and model adaptation · Infrastructure and deployment · Observability and reliability

AI Engineer World's Fair 202616:33

Emulated: The data for fully autonomous software engineers and companies

Joseph Wang · Sid Patllollu

Data and model adaptation · Developer workflows and testing · Observability and reliability

AI Engineer World's Fair 202616:30

Ending AI Slop

Thais Castello Branco

Observability and reliability · Safety and governance · Enterprise

AI Engineer World's Fair 202417:52

Everything you need to know about Finetuning and Merging LLMs

Maxime Labonne

Data and model adaptation · Evals · Reasoning and models

AI Engineer World's Fair 202519:46

Five Hard-Earned Lessons About Evals

Ankur Goyal

Data and model adaptation · Evals · RAG, context, and search

AI Engineer World's Fair 202417:42

Fixing bugs in Gemma, Llama & Phi-3

Daniel Han

Reasoning and models · Other / unclassified · Data and model adaptation

AI Engineer World's Fair 202617:46

From RL to IRL — Gaurav Mishra, Amazon AGI Lab

Gaurav Mishra

Coding and developer tools · Safety and governance · Observability and reliability

AI Engineer World's Fair 202519:12

Fuzzing in the GenAI Era

Leonard Tang

Evals · Speech and audio · Reasoning and models

AI Engineer World's Fair 202619:29

How Evals and Prompts Shape Agent Behavior — Preetika Bhateja & Daniel Bump, YouTube Ads

Preetika Bhateja · Daniel Bump

Creative and generative media · Evals · Data and model adaptation

AI Engineer World's Fair 202622:20

How Forward Deployed Engineering is done Kepler

[REDACTED:username] Ganesh

Enterprise · Data and model adaptation · Infrastructure and deployment

AI Engineer World's Fair 202519:48

How to Train Your Agent: Building Reliable Agents with RL

Kyle Corbitt

Reasoning and models · Data and model adaptation · Enterprise

AI Engineer Summit 202518:44

How we scaled 500m AI agents in production with 2 engineers

Mustafa Ali · Kyle Corbitt

Data and model adaptation · Finance · RAG, context, and search

AI Engineer World's Fair 202619:03

How Web Data Infrastructure Powers the Next Generation of AI

Patricija Žemaitytė

Vision and video · Architecture · Data and model adaptation

AI Engineer World's Fair 202620:02

Improving Agents is a Data Mining Problem

Vivek Trivedy

RAG, context, and search · Data and model adaptation · Agent engineering

AI Engineer World's Fair 202553:54

Latent Space Paper Club: AIEWF Special Edition (Test of Time, DeepSeek-R1/V3) — Vibhu Sapra

Vibhu Sapra

Evals · Architecture · Other / unclassified

AI Engineer World's Fair 202618:20

Learning on the job: the future of post-training

Raymond Feng

Data and model adaptation · Agent engineering · Infrastructure and deployment

AI Engineer Europe 202640:35

Let LLMs Wander: Engineering RL Environments — Stefano Fiorucci

Stefano Fiorucci

Enterprise · APIs, MCP, and protocols · Data and model adaptation

AI Engineer Europe 202616:32

LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize AI

Dat Ngo

Enterprise · Coding and developer tools · RAG, context, and search

AI Engineer World's Fair 202453:05

LLM Quality Optimization Bootcamp

Thierry Moreau · Pedro Torruella

Data and model adaptation · Reasoning and models · Infrastructure and deployment

AI Engineer World's Fair 20242:52:26

Low Level Technicals of LLMs

Daniel Han

Reasoning and models · Coding and developer tools · Architecture

AI Engineer World's Fair 20251:46:15

Model-Maxxing: RFT, DPO, SFT (Fine-tuning with OpenAI) — Ilan Bigio, OpenAI

Ilan Bigio

APIs, MCP, and protocols · Data and model adaptation · RAG, context, and search

AI Engineer World's Fair 202646:52

Modern Post-Training: A Deep Dive — Will Brown, Prime Intellect

Will Brown

Evals · Data and model adaptation · Safety and governance

AI Engineer Summit 20239:27

No-code Fine-tuning: Mark Hennings

Mark Hennings

Data and model adaptation · RAG, context, and search · Coding and developer tools

AI Engineer World's Fair 202519:59

OpenThoughts: Data Recipes for Reasoning Models

Ryan Marten

Data and model adaptation · Industry applications · Evals

AI Engineer World's Fair 202621:09

Persona Engineering: A Field Guide to AI Synthetic Personas — Ishan Anand, InsightSciences.ai

Ishan Anand

Evals · Safety and governance · RAG, context, and search

AI Engineer Summit 202318:35

Building Production-Ready RAG Applications

Jerry Liu

RAG, context, and search · Data and model adaptation · Architecture