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When AI Snitches: Auditing Agents That Spill Your Model’s (Alignment) Tea

When AI Snitches: Auditing Agents That Spill Your Model’s (Alignment) Tea

Sure, your model aced every benchmark, but can you trust it when the stakes are real? Every frontier lab runs alignment post-training before shipping their chat models to the world. The problem? Actually auditing whether this alignment worked can be an absolute nightmare. You're basically trying to find

Shipping Exceptional AI Support: Inside Comm100's Workflow

Shipping Exceptional AI Support: Inside Comm100's Workflow

About Comm100 Comm100 is a leading omnichannel customer engagement platform that helps organizations enhance customer loyalty through faster, more effective service. It serves businesses across education, government, and commercial sectors with a comprehensive suite including Live Chat, Ticketing, and AI-powered chatbots. As one of the early pioneers in live chat

👀 Observing Tool Calls 🔨 and JSON Mode Responses from Fireworks AI

👀 Observing Tool Calls 🔨 and JSON Mode Responses from Fireworks AI

Modern AI applications require robust monitoring and observability to track model performance, understand usage patterns, and debug complex interactions. When working with advanced features like tool calls and structured JSON responses, having comprehensive logging becomes even more critical. In this guide, we'll explore how to integrate Maxim'

A Recipe for Privacy Preserving Autocorrect in GBoard: FL, DP, and Synthetic Data Sprinkles

A Recipe for Privacy Preserving Autocorrect in GBoard: FL, DP, and Synthetic Data Sprinkles

The Personalisation Paradox Training language models for tasks such as autocomplete or error correction isn’t just a matter of fixing typos. Sure, you can turn “pleaes” into “please”, that’s easy. But what about Dave, who always types “frmly” when he means “formally”? You don’t just need autocorrect,

Building High-Quality Document Processing Agents for Insurance Industry

Building High-Quality Document Processing Agents for Insurance Industry

Generative AI is reshaping how insurers operate and serve their customers. Across sectors like health, life, auto, and property & casualty, insurers are embracing GenAI to enhance customer experience, drive efficiency, and improve decision-making. This shift isn’t just theoretical; over two-thirds of insurers are already using GenAI regularly, and

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

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"

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

WER vs SNR for Transcription Models

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

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.

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

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?

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

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

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

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

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,