第三届中国Rust开发者大会 Candid: the interface description language of the Internet Computer smart contracts Yan Chen DFINITY Foundation Rust China Conf 2023 −− How DFINITY uses procedure macro to extend Rust modifying the compiler. • Running example: Candid, a strongly typed serialization library • Extended language features: • Backward compatible API upgrades with subtyping • Type reflection • Structural typing as () Decode as (record { name : text }) Candid: a strongly typed interface description language • Primitive types • nat, int, nat{8-64}, int{8-64}, float{32,64}, bool, text • Composite types

the large language model and large multimodal model series of the Qwen Team, Alibaba Group. Now the large language models have been upgraded to Qwen1.5. Both language models and multimodal models are pretrained pretrained on large-scale multilingual and multimodal data and post-trained on quality data for aligning to human preferences. Qwen is capable of natural language understanding, text generation, vision apply_chat_template() to format your inputs as shown␣ �→below prompt = "Give me a short introduction to large language model." messages = [ {"role": "system", "content": "You are a helpful assistant."}, {"role":

对于使用 AI 辅助软件开发特别感兴趣。因此， 本期技术雷达讨论了许多代码辅助工具，如 GitHub Copilot、Tabnine 和 Codeium。我们兴奋于 open-source LLMs for coding 在工具领域可能带来的变革，并且我们看到了在编码之外的辅助领域中工具和能力的爆炸式增 长，如用户故事编写辅助、用户研究、电梯演讲和其他基于语言的任务。同时，我们希望开发人员能够负责任 积极的影响？虽然衡量标准可能变得更加细致入微，但真正的生产力衡量仍然难以捉摸。 本期主题 © Thoughtworks, Inc. All Rights Reserved. 7 众多大语言模型 大语言模型（LLMs）为现今人工智能的许多重要突破奠定了基础。目前的应用多使用类似聊天的界面进行交 互，例如 ChatGPT 或 Google Bard。生态中的主要竞争者（例如 OpenAI 的 ChatGPT，Google 合并队列 71. Google Bard 72. Google Cloud 工作站 73. Gradio 74. KWOK 75. Llama 2 76. Maestro 77. Open-source LLMs for coding 78. OpenCost 79. OpenRewrite 80. OrbStack 81. Pixie 82. Tabnine 暂缓 — 采纳 83. Playwright

Source: https://sel4.systems/About/seL4-whitepaper.pdf I. Background  Capability Distribution Language tools for seL4 https://github.com/seL4/capdl CapDL I. Background  https://sel4 Rust  A reimplementation of project Ray(the distributed training framework that behinds many LLMs) by leveraging Python + Rust to instead of Python + C++ within current implementation; peripheral support III. Sparrow Development  It has been possible to design Renode peripheral models in a variety of languages such as C#, Python and C.  Adding Rust peripherals in

Question Answering Dataset），这个数据集 是一个著名的问答数据集，基于维基百科数据生成，并且数 据是2020年之前的。 AI幻觉问题抽取：多数据集 问题加载 探讨大语言模型（LLMs）在模拟人类意见动态和社 会现象（如极化和错误信息传播）中的表现，特别 是引入偏误信息后的意见动态变化。使用大模型模 拟多个虚拟代理，讨论“气候变暖”、“转基因食 品的安全性”和“疫苗的有效性和安全性”三个具

掌 握开源开发模式、理解认同开源文化。 Yang Liyun: China's open source talent reserve is sufficient; the base is large. China's universities are paying more and more attention to the training of open source talent 到占 比 47% 的程度。 Jiang Bo: I think the distribution of this number only reflects the relatively large proportion of students among the people covered by our questionnaire (after all, the sample size 是 39%和 25%。 The types of companies the respondents work for are mostly domestic startups and large domestic Internet companies, accounting for 39% and 25%, respectively. 【专家点评】/ [Expert Comment]

Europe. NeoGeo created award- winning productions (European Corporate Video Awards 1993 and 1995) for large corporate clients such as the multinational electronics company Philips. Within NeoGeo, Ton was responsible SIGGRAPH conference in early 2000, NaN secured financing of €4.5M from venture capitalists. This large inflow of cash enabled NaN to rapidly expand its operations. Soon NaN boasted as many as 50 employees justify leaving Blender to fade into insignificance. Since restarting a company with a sufficiently large team of developers was not feasible, Ton Roosendaal founded the non-profit organization, Blender Foundation

in large language models." Advances in neural information processing systems 35 (2022): 24824-24837. 【5】Yao, Shunyu, et al. "Tree of thoughts: Deliberate problem solving with large language models." Advances architecture that combines large language models, external knowledge sources and discrete reasoning." arXiv preprint arXiv:2205.00445 (2022). 【7】Schick, Timo, et al. "Toolformer: Language models can teach themselves 【10】https://developer.nvidia.com/blog/pushing-the-boundaries-of-speech-recognition-with-nemo-parakeet-asr- models/ 【11】Mamba: Linear-time sequence modeling with selective state spaces 【12】Peng, Bo, et al. "Rwkv:

genomics 21, 13 (2020), 1–12. [21] Rosenfeld N , Meshi O , Tarlow D , et al. Learning Structured Models with the AUC Loss and Its Generalizations. [22] Chen T , Tong H , Benesty M . xgboost: Extreme (2018). [9] Hamilton, Will, Zhitao Ying, and Jure Leskovec. “Inductive representation learning on large graphs.” Advances in neural information processing systems 30 (2017). [10] Xu, Keyulu, Chengtao Cham, 2021: 3-19. [5] Xie Y, Wang Z, Li Y, et al. Fives: Feature interaction via edge search for large-scale tabular data[C]//Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &