Perplexity for LLM Evaluation
Perplexity is, historically speaking, one of the "standard" evaluation metrics for language models. And while recent years have seen a…
OpenAI Evals: Log Datasets & Evaluate LLM Performance with Opik
OpenAI’s Python API is quickly becoming one of the most-downloaded Python packages. With an easy-to-use SDK and access…
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…
The Ultimate Prompt Monitoring Pipeline
Welcome to Lesson 10 of 12 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn how…
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,…
Beyond Proof of Concept: Building RAG Systems That Scale
Welcome to Lesson 9 of 12 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn how…
