Release Highlights: Discover Opik Agent Optimizer, Guardrails, & New Integrations
As LLMs power more complex, multi-step agentic systems, the need for precise optimization and control is growing. In case you…
Announcing Opik’s Guardrails Beta: Moderate LLM Applications in Real-Time
We’ve spent the past year building tools that make LLM applications more transparent, measurable, and accountable. Since launching Opik, our…
From Observability to Optimization: Announcing the Opik Agent Optimizer Public Beta
At Comet, we're driven by a commitment to advance innovation in AI, particularly in the realm of LLM observability. Our…
Major Releases: MCP Server & Google Agent Dev Kit Support
We’ve just rolled out two major updates in Opik, Comet’s open-source LLM evaluation platform, that make it easier than ever…
SelfCheckGPT for LLM Evaluation
Detecting hallucinations in language models is challenging. There are three general approaches: Measuring token-level probability distributions for indications that a…
LLM Hallucination Detection in App Development
Even ChatGPT knows it’s not always right. When prompted, “Are large language models (LLMs) always accurate?” ChatGPT says no and…
LLM Evaluation Frameworks: Head-to-Head Comparison
As teams work on complex AI agents and expand what LLM-powered applications can achieve, a variety of LLM evaluation frameworks…
