TRANSITIONING TO GO SEP 20 2023 Robert Pająk pellared @ GitHub SplunkHello whoami fundamentals going further more, more q&a 01 02 03 04 05whoamiROBERT PAJĄK Go maintainer Go language committee Tour of Go 2. Read and try: How to Write Go Code 3. Read and follow: Effective Go 4. Read and follow: CodeReviewComments 5. Check: Go by Examplehttps://go.dev/tourhttps://go.dev/doc/codehttps://go.dev com/golang/go/wiki/CodeReviewCommentshttps://gobyexample.comgoing furtherhttps://www.gopl.iohttps://go.dev/ref/memhttps://exercism.orghttps://quii.gitbook.io/learn-go-with-testshttps://go101.orghttps://go.dev/blogmore

Rust 程序设计语言 简体中文版Rust 程序设计语言 简体中文版 目录 Rust 程序设计语言 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 2/562Rust 程序设计语言 简体中文版 11. 编写自动化测试 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 将错误信息输出到标准错误而不是标准输出 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276 13. 函数式语言特性：迭代器与闭包 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

人工智能发展历程（一）  从早期基于规则的专家系统，走向基于学习训练的感知型AI  从基于小参数模型的感知型AI，走向基于大参数模型的认知型AI  从擅长理解的认知型AI，发展到擅长文字生成的生成式AI  从语言生成式AI，发展到可理解和生成声音、图片、视频的多模态AI  从生成式AI，发展到推理型AI 专家系统 感知AI 认知AI 生成式AI 多模态AI 推理式AI 9政企、创业者必读 人工智能发展历程（二） 程碑 R1形成了新的AGI定律，加速了AGI发展 Alpha Zero时刻 • Alpha Go采用监督学习， 使用人类棋谱训练 • Alpha Zero采用强化学习， 自己跟自己对弈 ChatGPT时刻 • OpenAI ChatGPT大模型， 通过预训练方式，实现涌 现，理解人类语言和知识 • 诞生预训练Scaling Law Deepseek-R1时刻 • o1采用强化学习，但训练复 AI安全：实现安全的「自动驾驶」 46政企、创业者必读 大模型的六大能力 47 基本 能力 业务 能力 创新 能力 赋能 未来产业 创意 能力 赋能企业 数转智改 数学计算 语义理解 逻辑推理 语言翻译 文本创作 自动驾驶 具身智能 1 2 4 5 知识问答 代码编程 文本生成 多轮对话 图像生成 视频生成 音频生成 A I 数字人 生物制药 新材料研究 脑机接口 基础科学

This document is filled with user, usage and revenue charts that go up-and-to-the-right… often supported by spending charts that also go up-and-to-the right. Creators / bettors / consumers are taking AI & Physical World Ramps = Fast + Data-Driven • Global Internet User Ramps Powered by AI from Get-Go = Growth We Have Not Seen Likes of Before • AI & Work Evolution = Real + Rapid 3 1 2 3 4 5 Operating Zone Market Share Source: YipitData (4/25) Global Internet User Ramps Powered by AI from Get-Go = Growth We Have Not Seen Likes of Before 7 Leading USA-Based LLM App Users by Region Note: Region

sure… Did you lay anyone off or reduce operating expenses? No, there is a union… Did your inventories go down? I don’t think so… Jonah ends the conversation with the question: “Alex, you cannot understand fluctuating in speed, but the ability to go faster than average is restricted, it depends on all the others ahead in line. There are limits on how fast I can go. However, there is no limit on my ability constraint (Bringing back old machines) STEP 5 If, in a previous step, a constraint has been broken go back to Step 1Match Game Need: Dice Box of matches Plate or bowl The system is intended to

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however: julia> x = (2, 3, 4) (2, 3, 4) julia> bar(1,x...) (1, 2, (3 function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however: julia> x = (2, 3, 4) (2, 3, 4) julia> bar(1,x...) (1, 2, (3 function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation