fine-tuning
53 talks
Fine-Tuned Models Are Getting Out of Hand
Fine-Tuning is Broken
Reading groupSmall Language Models are the Future of Agentic AI
Fast, Trustworthy, Reliable Voice Agents: MLOps That Blend LLM Annotation with Human QA
PodcastThe Truth About LLM Training
PodcastTricks to Fine Tuning
Building Out GPU Clouds
PodcastWe're All Finetuning Incorrectly
PodcastI Let An AI Play Pokémon! - Claude plays Pokémon Creator
PodcastAI Careers Insights from Ex Meta Staff Eng
PodcastUnleashing Unconstrained News Knowledge Graphs to Combat Misinformation
PodcastAlignment is Real
Ghostwriter - AI Writing That Learns From You
No GPU Before PMF
PodcastFedML Nexus AI: Your Generative AI Platform at Scale
Data Labeling Best Practices
Explaining ChatGPT to Anyone in 10 Minutes
Fine Tuning Llamas
Productionizing Health Insurance Appeal Generation
From Research to Production: Fine-Tuning & Aligning LLMs
Vision Pipelines in Production: Serving & Optimisations
PodcastLLMs in Focus: From One-Size Fits All to Verticalized Solutions
PodcastDSPy: Transforming Language Model Calls into Smart Pipelines
MeetupLLMs Mini Summit // MLOps Mini Summit Meetup #3
AI Squared: Breaking LLMs out of the Chat Application
Deploying LLMs on Structured Data Tasks: Lessons from the Trenches
Data Quality's Impact on Large Language Models
Efficient Serving of LLMs for Experimentation and Production with Fireworks.ai
Finetuning Open-Source LLMs
What Drives GenAI Development in the Next 3 Years
PodcastAll About Evaluating LLM Applications
LLM XGBoost: Can a Fine-Tuned LLM Beat XGBoost on Tabular Data?
LIMA: Less is More for Alignment
MLOps vs LLMOps
End-to-end Modern Machine Learning in Production
RLHF Data Collection in Practice
Building Recommender Systems with Large Language Models
The Next Million AI Apps
Lessons Learned Productionising LLMs for Stripe Support
Navigating Through the Generative AI Landscape
Create a Contextual Chatbot with LLM and a Vector Database in 10 Minutes
Building and Curating Datasets for RLHF and LLM Fine-tuning
Understanding the LLM Economics
Build and Customize LLMs in Less than 10 Lines of YAML
Pitfalls and Best Practices: 5 Lessons from LLMs in Production
Taking ImgFlip's 'This Meme Does Not Exist' to the Next Level with a LLM
MeetupFine-Tuning LLMs: Best Practices and When to Go Small
Building Defensible Products with LLMs
DevTools for Language Models: Unlocking the Future of AI-Driven Applications
Solving the Last Mile Problem of Foundation Models with Data-Centric AI
Want High Performing LLMs? Hint: It Is All About Your Data
PodcastMLOps vs ML-as-a-Service
PodcastFoundational Models are the Future but...