Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

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Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Discover powerful new Fastbots features—like smarter lead form triggers, improved chat history management, and side-by-side AI model testing—designed to boost your chatbot’s performance and efficiency ...

The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.

Large Language Models (LLMs) are increasingly integrated into everyday tools—writing assistants, chat interfaces, translation systems, and more. Their influence is expanding quickly, but with that ...

Gentrace, a developer platform for testing and monitoring artificial intelligence applications, said today it has raised $8 million in an early-stage funding round led by Matrix Partners to expand ...

As a QA leader, there are many practical items that can be checked, and each has a success test. The following list outlines what you need to know: • Source Hygiene: Content needs to come from trusted ...

As search evolves with the growing adoption of Large Language Models (LLMs), businesses must adapt their SEO strategies. While LLM-powered search is still in its early stages, platforms like ...

The new platform signals a new phase of maturity for the AMD AI ecosystem, enabling providers to compete by rapidly deploying and billing for LLM services. Initially unveiled with AMD at the Advancing ...