LLM Evaluation - Measuring AI Model Performance
Learn practical approaches to evaluate large language models, from automatic metrics to human assessment.
29 stories
Learn practical approaches to evaluate large language models, from automatic metrics to human assessment.
A practical guide to orchestrating AI agents from single agents to complex multi-agent systems, with real examples using VoltAgent.
The best tools to monitor your LLM applications in production.
Vercel AI SDK is today one of the most popular tools to create AI agents. That SDK is so popular among developers because of its TypeScript-first approach and inclusion of such cutting-edge AI features like streaming, tool usage, and multi-modal support right out of the box.
What I learned performing work with RAG and Fine-tuning. A calm tutorial to choose the right method, full of real experiences for newbies.
Tired of walking in the dark while developing LLM apps? Dive into the world of traces, evals, prompt management and metrics with Langfuse.
How to develop real AI applications with LLM agents? We'll be looking at how agent frameworks work.
Why is building real AI applications from LLMs so hard? Discover how agent frameworks solve this problem and explore the future of modern AI development.
Discover LLM Orchestration, which transforms LLMs from simple command-takers into smart systems that solve real-world problems.
With Multimodal RAG, pictures, sounds, videos, and data visualizations, it's all in the mix for enhanced AI understanding.
We'll check out the top 5 frameworks to help you choose the best tools for your smart apps.
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