How we fine-tuned Mockingbird V3 MM for semiconductor AI agents

Learn how we built Mockingbird V3 MM, a multimodal model for semiconductor AI agents that can produce grounded answers and work through multi-step engineering tasks.
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Learn how we built Mockingbird V3 MM, a multimodal model for semiconductor AI agents that can produce grounded answers and work through multi-step engineering tasks.
Read more
Taking control over your data security in the age of AI



Vectara recognized for model development and AI knowledge management

We built a platform-agnostic benchmark with ~900 real-world scenarios across 6 domains to measure agent robustness, surface tool-calling failures, and validate guardian agents that prevent costly / unsafe behavior.

Vectara’s Hallucination Leaderboard has been a critical tool for tracking and comparing the factuality of large language models. But as AI models evolve, so must the way we measure them. We're excited to introduce a new, more granular hallucination leaderboard.

Why Microsoft’s Copilot is to GenAI like Windows-95 is to operating systems.

Agentic AI meets real-time data: Vectara and Confluent unite streaming intelligence with always-on governance to deliver trustworthy, event-driven AI agents that act safely and stay grounded in the freshest version of truth

A costly lesson in why AI outputs must be verifiable