AI Engineer World's Fair 202422:36
Productionizing GenAI Models – Lessons from the world's best AI teams
Lukas Biewald
Fine-tuning · Enterprise AI · Infrastructure & deployment
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Fine-tuning — Page 2
Talks 49–96 of 106 AI Engineer conference talks about Fine-tuning.
AI Engineer World's Fair 202618:18
Prototyping as Leadership: How a CTO Ships with AI Agents
Hursh Agrawal
Fine-tuning · Infrastructure & deployment · AI engineering leadership
AI Engineer World's Fair 202620:32
Recursive Model Improvement
Lee Robinson
Fine-tuning · Infrastructure & deployment · Coding agents
AI Engineer World's Fair 202619:27
Reinforcement Learning without Verifiable Rewards — Will Brown, Prime Intellect
Will Brown
Coding agents · Retrieval-augmented generation · Safety & governance
AI Engineer Code 202518:30
RL Environments at Scale
Will Brown
Evals · Fine-tuning · ML fundamentals
AI Engineer World's Fair 202519:27
RL for Autonomous Coding — Aakanksha Chowdhery, Reflection AI
Aakanksha Chowdhery
Coding agents · Infrastructure & deployment · Fine-tuning
AI Engineer World's Fair 20252:42:28
Advanced: Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han
Daniel Han
Fine-tuning · ML fundamentals · Safety & governance
AI Engineer World's Fair 202619:42
Scaling Compute on Context
Jack Morris
ML fundamentals · Safety & governance · Agent engineering
AI Engineer Europe 202618:35
Scaling Reinforcement Learning: Lessons from Trillion-Token Deployments at Fortune 500s
Alessandro Cappelli
Fine-tuning · Infrastructure & deployment · Agent engineering
AI Engineer World's Fair 202618:07
Scaling to Long Horizons
Ross Taylor · Chengxi Taylor
Infrastructure & deployment · Coding agents · Fine-tuning
AI Engineer World's Fair 202623:03
Scaling up Continual Learning
Ronak Malde
Infrastructure & deployment · Agent engineering · Fine-tuning
AI Engineer World's Fair 202516:09
Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing
Neil Dwyer · Jack Dwyer
Vision & video · Voice AI · Infrastructure & deployment
AI Engineer Europe 202620:52
Sovereign Escape Velocity: Ownership with Open Models — Gus Martins and Ian Ballantyne, Google DeepMind
Gus Martins · Ian Ballantyne
Coding agents · ML fundamentals · Infrastructure & deployment
AI Engineer World's Fair 20256:51
Stateful environments for vertical agents — Josh Purtell, Synth Labs
Josh Purtell
Retrieval-augmented generation · Enterprise AI · Evals
AI Engineer Europe 202620:56
Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel
Kobie Crawford
Fine-tuning · Evals · ML fundamentals
AI Engineer Code 20251:02:44
Stuffing Context is not Memory, Updating Weights is
Jack Morris
Fine-tuning · Retrieval-augmented generation · Enterprise AI
AI Engineer World's Fair 202619:50
Taking Reinforcement Learning Cross Datacenter
Nan Jiang
Infrastructure & deployment · Fine-tuning · Continual learning
AI Engineer Europe 202620:40
Task Fidelity Scaling Laws — Kobie Crawford, Snorkel AI
Kobie Crawford
ML fundamentals · Evals · Retrieval-augmented generation
AI Engineer Europe 202628:03
Text Diffusion — Brendan O'Donoghue, Google DeepMind
Brendan O'Donoghue
Evals · Fine-tuning · ML fundamentals
AI Engineer World's Fair 202617:45
The Base Model is Dead
Varun Singh
Coding agents · ML fundamentals · Fine-tuning
AI Engineer World's Fair 202418:03
The GenAI Maturity Curve (or: You Probably Don’t Need Fine-Tuning)
Kyle Corbitt
Infrastructure & deployment · Evals · Fine-tuning
AI Engineer World's Fair 202416:32
The Hierarchy of Needs for Training Dataset Development
Chang She · Noah Shpak
Fine-tuning · Retrieval-augmented generation · Infrastructure & deployment
AI Engineer World's Fair 202617:31
The Messy Reality of Scale: Synthetic Data and Pre-Training
Marah Abdin · Robert McHardy
Infrastructure & deployment · Evals · Coding agents
AI Engineer World's Fair 202658:17
The Miranda Hypothesis: How Hamilton (the Musical) Poisoned Your Persona Evals
Jacob E. Thomas
Retrieval-augmented generation · Evals · Fine-tuning
AI Engineer World's Fair 202614:10
The Missing Layer: Design Taste in AI Agents
Hassan El Mghari
Enterprise AI · Vision & video · ML fundamentals
AI Engineer World's Fair 202518:13
Thinking Deeper in Gemini
Jack Rae
Vision & video · Fine-tuning · ML fundamentals
AI Engineer Europe 20261:20:58
TLMs: Tiny LLMs and Agents on Edge Devices with LiteRT-LM
Cormac Brick
Fine-tuning · Infrastructure & deployment · Coding agents
AI Engineer World's Fair 202519:17
Training Agentic Reasoners
Will Brown
Fine-tuning · Agent engineering · Evals
AI Engineer World's Fair 202416:20
Training Albatross: An Expert Finance LLM
Leo Pekelis
AI in finance · ML fundamentals · Retrieval-augmented generation
AI Engineer Summit 202521:10
Trust, but Verify: High-Fidelity Reasoning in Agentic Workflows
Mike Conover
Agent engineering · Fine-tuning · AI in finance
AI Engineer World's Fair 202423:24
Understanding AI Stakes to Break Production Code
Philip Rathle
Fine-tuning · Infrastructure & deployment · Retrieval-augmented generation
AI Engineer World's Fair 202517:24
Vision AI in 2025 — Peter Robicheaux, Roboflow
Peter Robicheaux
Fine-tuning · Vision & video · Infrastructure & deployment
AI Engineer Summit 202518:17
What RL Means for Agents
Will Brown
Fine-tuning · Infrastructure & deployment · Post-training
AI Engineer World's Fair 202618:05
Jev CEO: I made ChatGPT, now I'm building what's next
Diogo Almeida
Agent engineering · Coding agents · Evals
AI Engineer World's Fair 202627:33
When Agents Meet Physical Data: The Other Physics of Agent Harnesses
Dmitry Petrov
Agent engineering · Fine-tuning · Retrieval-augmented generation
AI Engineer World's Fair 202419:59
Which Jobs Can Be Replaced Today
Fryderyk Wiatrowski · Peter Albert
Agent engineering · Retrieval-augmented generation · MCP
AI Engineer World's Fair 202619:50
Why Off-the-Shelf AI Doesn't Understand Money
Udi Menkes
Evals · AI in finance · Fine-tuning
AI Engineer Europe 202618:46
You Might Not Need 50 Diffusion Steps
Ziv Ilan
Fine-tuning · Infrastructure & deployment · Generative media
AI Engineer Europe 202618:25
Your Coding Agent Should Do AI System Engineering
Ben Burtenshaw
Evals · Coding agents · Retrieval-augmented generation
AI Engineer World's Fair 202616:39
Your Fine-Tuned Model Is Tech Debt: A 50x ROI House of Cards
Dan Bjornn
Agent engineering · Infrastructure & deployment · AI engineering leadership
AI Engineer World's Fair 202613:58
Your LLM Deception Monitor Is Broken. The Fix Is in the Training Data - Sachin Kumar, LexisNexis
Sachin Kumar
Observability & reliability · Infrastructure & deployment · Fine-tuning
AI Engineer Code 202520:11
Stop Fine-Tuning to Fix Retrieval Problems — Anant Srivastava
Anant Srivastava
Infrastructure & deployment · Retrieval-augmented generation · Fine-tuning
17:40
A Bank Trained Its Own Foundation Model to Catch Fraud — Freddy Lecue, Wells Fargo
Freddy Lecue
AI in finance · Pretraining & midtraining · Transformers & attention
AI Engineer World's Fair 202619:17
Stop Renting Intelligence: The Train-to-Deploy Loop for Specialized AI — Fireworks AI
Jetashree Ravi
Open-weight models · Fine-tuning · Infrastructure & deployment
AI Engineer Code 202520:31
Lessons from Generating 12 Trillion Synthetic Tokens — Bogdan Gaza, DatologyAI
Bogdan Gaza
Fine-tuning · Infrastructure & deployment · Observability & reliability
AI Engineer Code 202520:32
What Makes Open Models Fast in Production — Sujee Maniyam, Nebius
Dylan Bristot · Sujee Maniyam
Infrastructure & deployment · Fine-tuning · Open-weight models
55:24
The AI Bill Is Too Damn High: Tokenomics 101 — Eugene Cheah, Featherless AI
Eugene Cheah
AI cost & performance · Inference · Coding agents
AI Engineer NYC 2026 Online Talks20:27
Judge a Transaction by the Company It Keeps — Somya Rai & MD Sharique, EXL
Somya Rai · MD Sharique
AI in finance · ML fundamentals · Fine-tuning