AI in Production 2024
40 talks
Evaluating Quality and Improving LLM Products at Scale
Navigating the Emerging LLMOps Stack
Product Thinking in Data & AI
Beyond Guess-and-Check: Towards AI-assisted Prompt Engineering
Evaluating Language Models
Ghostwriter - AI Writing That Learns From You
Let's Build a Website in 10 Minutes with GitHub Copilot
No GPU Before PMF
The Intersection of Graphs and Large Language Models
Productionizing AI: How to Think From the End
Data Labeling Best Practices
Explaining ChatGPT to Anyone in 10 Minutes
LLMOps and GenAI at Enterprise Scale - Challenges and Opportunities
Streamlining Model Deployment
Building Conversational AI Agents with Voice
Reliable Hallucination Detection in Large Language Models
Shipping LLMs: Buckle Up & Enjoy the Ride
Lessons from Building LLM-based Social Media Products
Making Sense of LLMOps
Enabling Efficient Trillion Parameter Scale Training for Deep Learning Models
Graphs and Language
From Robotics to AI NPCs
Seeing Like a Language Model
Fine Tuning Llamas
Productionizing Health Insurance Appeal Generation
From MVP to Production
Graduating from Proprietary to Open Source Models in Production
RagSys: RAG is just RecSys in Disguise
Charting LLMOps Odyssey
From Research to Production: Fine-Tuning & Aligning LLMs
Navigating via Retrieval Evaluation to Demystify LLM Wonderland
The State of Production Machine Learning in 2024
Vision Pipelines in Production: Serving & Optimisations
Anatomy of a Software 3.0 Company
Building the Next Generation of Reliable AI
Security and Privacy
Model Merging and Mixtures of Experts
A Survey of Production RAG Pain Points and Solutions
LLM Use Cases in Production
Gen AI Buy vs Build, Commercial vs Open Source