synthetic-data
38 talks
Small Models, Big Results: Training a Finance Agent for Under $500
Lessons from Generating 12 Trillion Synthetic Tokens
Loophole: Adversarial Agents To Stress Test Your Morality
SOTA Generative Media Panel
Don't Be Data Poor
Training Krea 2: What Matters in Generative Model Training
Gradient-Free Continual Learning
Scaling Compute on Context
Data and Environment Curation for Post-Training LLMs
Data Quality Is the Compute Multiplier
Learning on the Job: The Future of Post-Training
Reinforcement Learning without Verifiable Rewards
The Base Model Is Dead
The Data for Fully Autonomous Software Engineers and Companies
Persona Engineering: A Field Guide to AI Synthetic Personas
SimulationMaxxing: How We Ship Agents 20× Faster
Why Off-the-Shelf AI Doesn't Understand Money
The Messy Reality of Scale: Synthetic Data and Pre-Training
Task Fidelity Scaling Laws
How We Built Zeta2: Training an Edit Prediction Model in Production
Your Coding Agent Should Do AI System Engineering
From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents
Lessons from Trillion Token Deployments at Fortune 500s
Stuffing Context is not Memory, Updating Weights is
RL Environments at Scale
How to Run Evals at Scale: Thinking Beyond Accuracy or Similarity
Dream Machine: Scaling to 1m users in 4 days
OpenThoughts: Data Recipes for Reasoning Models
Improving Recommendation Systems and Search in the Age of LLMs
RFT, DPO, SFT: Fine-tuning with OpenAI
MCP Agent Fine-tuning Workshop
Text-to-Speech Data Preparation and Fine-tuning Workshop
Training Albatross, An Expert Finance LLM
BotDojo Launch: Enhancing AI Assistants with Evaluations and Synthetic Data
E-Values: Evaluating the Values of AI
Moondream: How Does a Tiny Vision Model Slap So Hard?
What It Actually Takes to Deploy GenAI Applications to Enterprises
The Hierarchy of Needs for Training Dataset Development