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LLM Parameter Optimization: Stop Leaving Agent Performance on the Table
If you search for “LLM parameter optimization,” you’ll find guides on tuning learning rates, batch sizes, and layer configurations. But…
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How to Evaluate RAG Systems: Metrics, Methods, and What to Measure First
When a RAG system fails, the output alone won’t tell you why. RAG stands for retrieval-augmented generation, and it’s one…
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Retrieval-Augmented Generation: A Practical Guide to RAG Architecture, Retrieval, and Production-Ready Context
Large language models are impressive memorizers. During training, they compress vast amounts of text into billions of parameters, encoding patterns,…
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Prompt Learning: Using Natural Language to Optimize LLM Systems
Your customers expect better and more consistent results than your AI agent can deliver. You manually tweak a prompt, test…
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LLM-as-a-Judge: How to Build Reliable, Scalable Evaluation for LLM Apps and Agents
LLM-as-a-judge is an evaluation method for assessing the output quality of AI apps. Think of it as a mechanism that…
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Opik Release Highlights: Prompt Optimization Studio, SDK Upgrades & Multimodal Support
This month’s Opik releases strengthen the connection between experimentation, evaluation, and measurable performance with the launch of the Optimization Studio,…
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Optimizing AI IDEs at Scale
Using AI development tools at scale comes with real overhead for every engineer. It’s an additional cost layered on top…
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Comet Recognized in 2026 Gartner® Market Guide for AI Evaluation and Observability Platforms
We are excited to announce that Comet has been included as a Representative Vendor in the Gartner Market Guide for…
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Model Context Protocol: How AI Agents Connect to Your Data
The Model Context Protocol (MCP) emerged in late 2024 as the architectural solution for AI agent connectivity. In 2023, LLMs…
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What is LLM Observability? The Ultimate Guide for AI Developers
If your LLM application or agent sends your user a hallucinated answer, do you know when and why it happened?…
Comet Blog
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Announcing the Future of AI Engineering: Self-Optimizing Agents
When ChatGPT launched in 2022, generative AI seemed like magic. With a simple API call and prompt, any application could…
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