Trends Artificial Intelligence
At the time, the pace of change catalyzed by the internet was unprecedented. Consider now that AI user and usage trending is ramping materially faster…and the machines can outpace us. The pace and scope technology evolution is indeed unprecedented, as supported by the data. This document is filled with user, usage and revenue charts that go up-and-to-the-right… often supported by spending charts that also freedom with the November 2022 launch of OpenAI’s ChatGPT with its extremely easy-to-use / speedy user interface. In addition, relatively new AI company founders have been especially aggressive about0 码力 | 340 页 | 12.14 MB | 4 月前3OpenAI 《A practical guide to building agents》
accomplish tasks on your behalf. A workflow is a sequence of steps that must be executed to meet the user’s goal, whether that's resolving a customer service issue, booking a restaurant reservation, committing agent possesses core characteristics that allow it to act reliably and consistently on behalf of a user: 01 It leverages an LLM to manage workflow execution and make decisions. It recognizes when a workflow its actions if needed. In case of failure, it can halt execution and transfer control back to the user. 02 It has access to various tools to interact with external systems—both to gather context and to0 码力 | 34 页 | 7.00 MB | 5 月前3Google 《Prompt Engineering v7》
use Wordpress for your website. A great open source content management system. I have used it in the past too. It comes with lots of great user plugins. And it's pretty easy to set up. I did notice a bug renamed successfully." ``` Output This Bash script performs the following tasks: 1. **User Input**: - It prompts the user to enter a folder name using the `echo` and `read` commands. The entered folder name renamed successfully." ``` Output ```python import os import shutil # Get the folder name from the user folder_name = input("Enter the folder name: ") # Check if the folder exists if not os.path.isdir(folder_name):0 码力 | 68 页 | 6.50 MB | 6 月前3OpenAI - AI in the Enterprise
of NPS surveys. 16 AI in the EnterpriseAnd the wins continue to spread across Marketing, Risk Management, Operations, and beyond. All because they got AI in the hands of the people who know how to apply such as: Automating software testing and QA using Operator to interact with web apps like a real user, flagging any UI issues. Updating systems of record on behalf of users, without technical instructions0 码力 | 25 页 | 9.48 MB | 5 月前3DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Zhuang, Y. Sheng, L. Zheng, C. H. Yu, J. E. Gonzalez, H. Zhang, and I. Stoica. Efficient memory management for large language model serving with pagedattention. In Proceedings of the ACM SIGOPS 29th Symposium0 码力 | 52 页 | 1.23 MB | 1 年前300 Deepseek官方提示词
以 Markdown 格式输出 2. 贴合用户需求,描述智能助手的定位、能力、知识储备 3. 提示词应清晰、精确、易于理解,在保持质量的同时,尽可能简洁 4. 只输出提示词,不要输出多余解释 USER “ 请帮我生成一个 Linux ” 助手 的提示词 2. 文案大纲生成:根据用户提供的主题,来生成文案大纲 SYSTEM 你是一位文本大纲生成专家,擅长根据用户的需求创建一个有条理且易于扩展成完整文章的大纲,你拥有强大的 结论:总结所有要点,重申主要观点,并给出有力的结尾陈述,可以是呼吁行动、提出展望或其他形式的收尾。 创意性标题:为文章构思一个引人注目的标题,确保它既反映了文章的核心内容又能激发读者的好奇心。 USER “ ” 请帮我生成 中国农业情况 这篇文章的大纲 3. 中英翻译专家:中英文互译,对用户输入内容进行翻译 SYSTEM 你是一个中英文翻译专家,将用户输入的中文翻译成英文,或将用户输入的英文翻译成中文。对于非中文内容, ,又符合目标语言文化和读者审美的翻译。 USER 牛顿第一定律:任何一个物体总是保持静止状态或者匀速直线运动状态,直到有作用在它上面的外力迫使它改变 这种状态为止。 如果作用在物体上的合力为零,则物体保持匀速直线运动。 即物体的速度保持不变且加速度为 零。 4. 角色扮演(情景续写):提供一个场景,让模型模拟该场景下的任务对话 USER 假设诸葛亮死后在地府遇到了刘备,请模拟两个人展开一段对话。0 码力 | 4 页 | 7.93 KB | 7 月前3Bring Your Own Codegen to TVM
Amazon Web Services, Inc. or its Affiliates. All rights reserved. Partition the Relay IR graph ● No user involvement System Overview Relay IR Graph Annotation with Your Annotator Graph Partitioning Amazon Web Services, Inc. or its Affiliates. All rights reserved. Partition the Relay IR graph ● No user involvement System Overview Relay IR Graph Annotation with Your Annotator Graph Partitioning Amazon Web Services, Inc. or its Affiliates. All rights reserved. Partition the Relay IR graph ● No user involvement System Overview Relay IR Graph Annotation with Your Annotator Graph Partitioning0 码力 | 19 页 | 504.69 KB | 5 月前3Facebook -- TVM AWS Meetup Talk
multiplication (~50 lines of TVM IR) - Add relay.reinterpret to implement rational approximations in user space (~10 lines of Relay IR) - A few days of work - TVM sampling model running in 30us on single0 码力 | 11 页 | 3.08 MB | 5 月前3
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