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
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AI Engineer topic
Data and model adaptation
90 AI Engineer conference talks about Data and model adaptation.
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
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 [REDACTED:username] 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