Top 5 LLM Observability Tools
The best tools to monitor your LLM applications in production.
5,369 stories
The best tools to monitor your LLM applications in production.
The story behind UnitPay AI and our mission to transform how businesses leverage AI through outcome-based billing.
Hiring has changed fast. In 2025, artificial intelligence will play a central role in how companies find and connect with …
Congratulations to Greylock portfolio companies Predibase and Rubrik on their announcement: Rubrik has entered into an agreement to acquire Predibase. This powerful combination brings together optimized, fine-tuned AI models and robust, governed data, designed to support enterprises worldwide in…
Exploring why outcome-based billing models are becoming the gold standard for AI products and how they benefit both providers and customers.
RAG evaluation metrics — answer relevancy, faithfulness, and contextual relevancy — measure retrieval and generation quality, with working DeepEval code examples.
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.
Lewis Carhart, Founder at Comp AI, shares how they use Trigger.dev to automate evidence collection at scale, powering their open source, AI-driven compliance platform.
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.
We introduce BountyBench, a benchmark featuring 25 systems with complex, real-world codebases, and 40 bug bounties that cover 9 of the OWASP Top 10 Risks.
We'll check out the top 5 frameworks to help you choose the best tools for your smart apps.
Learning to automate simple agentic workflows with Amazon Q CLI, Anthropic MCP, and tmux.
Most LLM evals fail because their metrics don't predict ROI. This playbook shows how to build outcome-based evals that correlate with real business KPIs and user value.
Hiring in India is changing fast. Recruiters today manage thousands of applications, tight deadlines, and increasing pressure to find the …
Getting ready for a job interview? There’s a good chance your next one won’t be with a person. It might …
Imagine a business that runs smoothly on its own. Tasks are completed without delays, decisions are made instantly, and every …
Hiring has become more challenging than ever. Recruiters now deal with a flood of applications, tight deadlines, and the constant …
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