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Train your own decision model
Decision models drew wide attention in September, when TypeSafe AI launched Jev, a model that returns probabilities over a fixed…
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LiteLLM Supply Chain Attack: What Happened, Who’s Affected, and What You Should Do Right Now
LiteLLM — 95 million downloads per month, a dependency of CrewAI, DSPy, Browser-Use, Opik, and nearly every major AI agent…
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Pretraining: Breaking Down the Modern LLM Training Pipeline
LLM training shapes everything from what a model knows to how it reasons and responds. So, understanding how models are…
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How Contributing to Open Source Projects Helped Me Build My Dream Career in AI
6 years ago, I decided to open-source my Python code for a personal project I was working on, which led…
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A Simple Recipe for LLM Observability
So, you’re building an AI application on top of an LLM, and you’re planning on setting it live in production.…
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G-Eval for LLM Evaluation
LLM-as-a-judge evaluators have gained widespread adoption due to their flexibility, scalability, and close alignment with human judgment. They excel at…
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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…
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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,…
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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 to use…
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The Engineer’s Framework for LLM & RAG Evaluation
Welcome to Lesson 8 of 12 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn how to use…
Category: Machine Learning
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