"Built on top of the Kimi K2 LLM, which debuted last summer, Moonshot's latest model comes with coding capabilities that could make it a serious competitor with its proprietary counterparts. Kimi K2.5 scored comparably to frontier models from OpenAI, Google, and Anthropic on the SWE-Bench Verified and SWE-Bench Multilingual coding benchmarks, according to data published by Moonshot. Its ability to create front-end web interfaces from visual inputs, however, is what could truly set it apart from the crowd."
"Kimi K2.5 was pretrained with 15 trillion text and visual tokens, making it "a native multimodal model," according to Moonshot, that can generate web interfaces from uploaded images or video, complete with interactive elements and scroll effects. In a demo video of this "coding with vision" capability included in Moonshot's blog post, Kimi K2.5 generated a draft of a new website based on a recorded video of a preexisting website, shown from the perspective of a user's screen as they scroll."
Moonshot released Kimi K2.5, an open-source multimodal LLM built atop Kimi K2 with coding capabilities that rival proprietary models. The model was pretrained on 15 trillion text and visual tokens and scored comparably to OpenAI, Google, and Anthropic on SWE-Bench Verified and SWE-Bench Multilingual coding benchmarks. Kimi K2.5 can generate front-end web interfaces directly from uploaded images or video, including interactive elements and scroll effects. A demo showed the model recreating a website's aesthetic from a recorded scrolling video, though it produced minor visual errors. The release also includes a beta "agent swarm" feature.
Read at ZDNET
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