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

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 ...

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth ...

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

Traditional SEO metrics miss recommendation-driven visibility. Learn how LCRS tracks brand presence across AI-powered search.

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.

Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...

You can even self-host it!