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Optimizing Agentic Remediation for Financial Services with Opik
Incident remediation agents are quickly emerging as one of the most compelling AI use cases for the enterprise. This is…
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How to Trace and Evaluate a Google ADK Agent with Opik
Trace a multi-agent Google ADK app with Opik, fix handoffs that split into two traces, and evaluate it on 23…
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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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Diffusion Language Models, From Scratch to Production
“Language model” used to be a very general term for statistical models trained on language tasks. It included everything from…
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I Built a RAG Pipeline for F1 Team Radio, Then Made It Grade Itself
I wanted to see if I could build a RAG system that would output interesting and accurate F1 race weekend…
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How We Optimized Opik’s MCP Server for Cost & Performance
Like a lot of engineering teams, earlier this year we found ourselves hitting limits on AI token spend, trying to…
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Announcing the Opik Claude Code Plugin: Automatically Configure Observability for Complex Agentic Systems
Agent observability shouldn’t be a side project. But in practice, it is. When teams have to choose between shipping features…
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SelfCheckGPT for LLM Evaluation
Detecting hallucinations in language models is challenging. There are three general approaches: The problem with many LLM-as-a-Judge techniques is that…
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LLM Juries for Evaluation
Evaluating the correctness of generated responses is an inherently challenging task. LLM-as-a-Judge evaluators have gained popularity for their ability to…
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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.…
Category: Tutorials
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