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When Your AI Can't Tell the Difference Between "Fine" and Frustration

Final Results of SER Accuracy of Gemini 2.5 Flash and GPT 4o across the two modalities.

When Your AI Transcription Turns "Tasty Burger" Into "Nasty Murder"

WER vs SNR for Transcription Models

Building an AI-Powered Stock Market Analysis Tool with Groq and Function Calling

In this comprehensive tutorial, we'll build a sophisticated stock market analysis tool that combines the power of Groq's fast LLM inference with function calling capabilities. Our tool will be able to understand natural language queries about stocks and automatically fetch data, perform analysis, and create beautiful

PaperBench: Can AI Agents Actually Replicate AI Research?

Model's Replication Scores Average Replication Scores on PaperBench

OS-HARM: The AI Safety Benchmark That Puts LLM Agents Through Hell

Language models have come a long way. From playing autocomplete in your email to writing decent Python scripts, they’ve now levelled up into agents: full-blown task-doers who can click, scroll, type, and wreak havoc across your desktop. These “computer use agents” are smart enough to open your emails, edit

Tool Chaos No More: How We’re Measuring Model-Tool Accuracy in the Age of MCP

Introduction Picture this scenario: you’ve built an AI agent, given it access to dozens of tools, and deployed it to handle a complex workflow. But instead of executing queries crisply, it’s making redundant tool calls, burning API credits needlessly, and overcomplicating straightforward processes. This isn’t just an

Making a Financial Conversation Agent using Agno & Maxim

In today's fast-paced financial world, having instant access to market data, company information, and financial insights is crucial for investors, analysts, and financial professionals. In this comprehensive tutorial, we'll build a sophisticated financial conversational agent that combines the power of multiple AI models with real-time financial

Making a Financial Conversation Agent using Agno & Maxim

In today's fast-paced financial world, having instant access to market data, company information, and financial insights is crucial for investors, analysts, and financial professionals. In this comprehensive tutorial, we'll build a sophisticated financial conversational agent that combines the power of multiple AI models with real-time financial

Your Horrible Code is Making LLMs Evil: Exploring Emergent Misalignment

What is Emergent Misalignment? One bad apple can spoil the bunch. Apparently this stands true when speaking of finetuning tasks too. A recent paper uncovered a quite interesting phenomenon: finetuning an LLM on insecure code led it to show homicidal tendencies in conversations. And this is not just a fluke,

🎙️ Build an AI Interview Voice Agent with LiveKit & Maxim

Listen to Your Future Interviewer in Action AI Interviewer: "Good morning! I'm excited to discuss this Senior React Developer position with you. I've reviewed the job description, and I see you'll be working on high-performance web applications with TypeScript and modern React patterns.

Building and Evaluating a Reddit Insights Agent with Gumloop and Maxim AI

Reddit is one of the internet’s most valuable data sources, and also one of the most chaotic. Somewhere between the hot takes on r/technology and the unsolicited growth advice on r/marketing, there are real signals hiding in plain sight: what people are building, breaking, hyping up, or

✨ Bifrost, Voice agent support, CrewAI integration, and more

Feature spotlight ⚡️ Introducing Bifrost: The fastest LLM gateway We're excited to announce the public release of Bifrost, the fastest, most scalable LLM gateway out there. We've engineered Bifrost specifically for high-throughput, production-grade AI systems and optimized performance at every level. Here's how Bifrost improves

Sure your LLM is smart, but does it really give a damn?

You can take your model to the water, but you can’t make it think. Every frontier lab’s model drops are accompanied by boasts on improved capabilities on a dozen benchmarks. A recent study explores that the fact that a model is capable of accomplishing a task doesn’t

🐞 Building an Agentic Debugging Game: Anthropic for LLM & Maxim for Observability

Welcome! In this tutorial, we'll build a fun, interactive AI agent called "Guess the Bug." The agent will use Anthropic's Claude model to generate simple Python code snippets with hidden bugs. Your job is to find the bug, and the agent will tell you