Yes, Qwen has *great* prompt adherence but…

Qwen has some incredible capabilities. For example, I was making some Kawaii stickers with it, and it was far outperforming Flux Dev. At the same time, it’s really funny to me that Qwen is getting a pass for being even worse about some of the things that people always (and sometimes wrongly) complained about Flux …

From terabytes to insights: Real-world AI obervability architecture

GUEST: Consider maintaining and developing an e-commerce platform that processes millions of transactions every minute, generating large amounts of telemetry data, including metrics, logs and traces across multiple microservices. When critical incidents occur, on-call engineers face the daunting task of sifting through an ocean of data to unravel r…Read More

Grok’s Share and Claude’s Leak: 5 Things We Can Learn From System Prompts

The foundational instructions that govern the operation and user/model interaction of language models (also known as system prompts) are able to offer insights into how we — as users, AI practitioners, and developers — can optimize our interactions, approach future model advancements, and develop useful language model-driven applications.

4 v0frcSc

Looker debuts MCP Server to broaden AI developer access to data

As companies integrate AI into their workflows, connecting new tools to their existing data while ensuring consistent security and accuracy becomes increasingly important. We’re introducing Looker Model Context Protocol (MCP) Server, an integration in the MCP Toolbox for Databases. This allows AI applications such as chatbots and custom agents to connect to trusted data from …