Meet Opik: Your New Tool to Evaluate, Test, and Monitor LLM Applications
Today, we’re thrilled to introduce Opik – an open-source, end-to-end LLM development platform that provides the observability tools you need…
Building a Low-Cost Local LLM Server to Run 70 Billion Parameter Models
A guest post from Fabrício Ceolin, DevOps Engineer at Comet. Inspired by the growing demand for large-scale language models, Fabrício…
How to Evaluate Your RAG Using the RAGAs Framework
Welcome to Lesson 10 of 11 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn…
How to Use Comet’s New Integration with Union & Flyte
In the machine learning (ML) and artificial intelligence (AI) domain, managing, tracking, and visualizing model training processes, especially at scale,…
Architect Scalable and Cost-Effective LLM & RAG Inference Pipelines
Welcome to Lesson 9 of 11 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn…
Best Practices When Evaluating Fine-Tuned LLMs
Welcome to Lesson 8 of 11 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn…
How to Fine-Tune LLMs on Custom Datasets at Scale using Qwak and Comet
Welcome to Lesson 7 of 11 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn…
