会上，阿里高层强调多次，千问基础模型是集团当前最重要的事情，大模型的竞争不仅仅是Qwen团队的事，而是整个阿里集团的事——无论是基础模型研发，还是底层 infra 建设，都将在集团层面统筹推进，“一定要超越”。
We’re also releasing the Isaacus Legal Graph Schema (ILGS), a first-of-a-kind knowledge graph schema for representing the structure and entities referenced within legal documents, which Kanon 2 Enricher natively outputs to. In the interests of supporting open legal AI and data research, we’ve made ILGS freely available under the CC BY 4.0 license.
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Interested readers can follow this approach to train detectors for other domains—even general-purpose ones. Build an AIGC detector for academic papers, slap on a flashy frontend, and sell it as an “AI plagiarism checker” to clueless undergrads. If you make money, don’t forget to donate a little.
programs (i.e. programs that are built with runtime module support).
The agent runs a ReAct loop: reason about the question, call tools, feed results back to the LLM, repeat until it has an answer. Tools are just Jido.Action modules, so anything you can define as an action becomes a tool the LLM can call.