MiniCPM-o 4.5: A 9B Model That Can See, Hear, and Speak at the Same Time
Most multimodal AI models today work in turns. You feed them a video, wait for them to process it, and then get a response. While this works well for traditional…
Most multimodal AI models today work in turns. You feed them a video, wait for them to process it, and then get a response. While this works well for traditional…
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TL;DR variable rename passes Git, greenlights your mocked test suite, and gets approved in code review—right up until it crashes every real production call the moment it executes. This failure…
AI-agent development has progressed through overlapping phases: prompt engineering, context engineering, tool use, autonomous loops, memory systems, and multi-agent coordination. A newer focus is graph engineering, which treats AI applications…
# Introduction The conversation in data science and AI has shifted dramatically over the past year. We’re no longer talking exclusively about large language models (LLMs) acting as reactive systems…
In this article, you will learn how an agent’s approach to managing state — stateless or stateful — shapes both its implementation and the deployment architecture built around it. Topics…
The Python lock file, pylock.toml, records exact dependencies your project needs so installs come out the same every time. It isn’t the first of its kind, though—most modern package tools…
This tutorial builds a highlight-cutting pipeline for kids’ soccer footage: two RF-DETR models trained in the Roboflow UI (a player/ball/goal detector and a jersey digit detector) run inside a Roboflow…
on social media about a passenger bumped from an airplane because of overbooking. If you’re a frequent flyer, you may come across a similar situation. If you’re unlucky enough, it…
This scene is playing out across engineering teams everywhere. Someone wraps a few LangChain calls inside a loop, adds a couple of tools, and proudly declares, “We’ve built an AI agent.” The…