AI教育省钱秘籍 父母要这么做AI Education#教育#AI#人工智能#少儿编程#青少年#学习#省钱#科技#chatGPT#deepseek#豆包

为我的大型语言模型 LLM 创建合成数据（从零开始）

为我的大型语言模型 LLM 创建合成数据（从零开始） Building a coding LLM from scratch starts with one crucial step: creating high-quality synthetic data. In this video, we dive into how to generate realistic code samples and prompts that train our model to think like a developer. Stay tuned as we lay the foundation for a truly intelligent coding assistant — built from the ground up. GitHub - https://github.com/vukrosic/python-to-triton-llm My open course to become AI researcher / engineer - https://github.com/vukrosic/ultimate-ai-research-and-engineering-course Code DeepSeek V3 From Scratch Full Course - https://www.youtube.com/watch?v=TfEG0TwueTs&list=PL-9_KFQd8ssI_-_lNLXNRIUavVgPW5Kgr&index=7 contact: vukrosic1@gmail.com

一口气学会如何思考AI Agent系统设计

This is how I think through designing a full stack AI Agent System, with all key concepts you need -- Vector Database, Retrieval-Augmented Generation (RAG), Semantic Search & Policy Checks, Function Calling and more. The use case I picked is to manage e-Commerce customer support. You can learn it even if you don't come from a technical background. You can build anything. You can learn anything. 💪 Launch Full-Stack App Template: https://github.com/ShenSeanChen/launch-mvp-stripe-nextjs-supabase ☕️ Buy me a coffee: https://buy.stripe.com/5kA176bA895ggog4gh - X: https://x.com/ShenSeanChen - Discord: https://discord.gg/TKKPzZheua - LinkedIn: https://linkedin.com/in/shen-sean-chen - Github Link: https://github.com/ShenSeanChen - Instagram: https://www.instagram.com/sean_tech_stories Timeline 00:00 Intro 00:23 Problem to Solve Today 00:59 Goals 02:13 Rules of the Scope 03:39 Backend & Database 04:13 Vector Database VS Relational DB 04:38 What's a Vector Database 05:31 Sketch the AI Agent System Design 05:53 User Auth Gateway 06:32 CRUD with Relational DB 06:49 How Would AI Agents Interact with User Chats 07:08 Introducing Router Agent 07:38 Q&A AI Agent (The Brain/CEO) 08:36 When to Loop in Humans? 09:20 How the Router Agent Proceeds 09:33 Planner Agent 09:58 What is Functional Calling? 10:15 Tools & APIs 11:24 Should We Use AI Agents or Deterministic Workflows 12:28 Retrieval-Augmented Generation (RAG) + Vector Database 14:39 What Happens after RAG 15:45 The Q&A Agent 17:02 AI Agent System Design Overview 17:10 Observability, Metrics, Evals 17:49 CRM Integration 18:29 Final Overview

【创业日记8】一个人公司，项目运营一个月，崩了！

项目地址：https://xiaozhoubg.com 30元充电档位，置顶动态有会员码。 AI学习资料包每周都有更新， 股东朋友们多关注晓舟的充电专属动态哟。

大脑被炼成AI，有望颠覆世界的“炼脑术”来袭

重岳教学用AI生成木偶视频通讯

本期为重岳教学用AI生成木偶视频通讯，使用AI为豆包、GPT-SoVITS

【研究生基本功】深度学习炼丹技巧！几乎能解决所有炼丹问题！ -人工智能/机器学习/深度学习

本视频DT算法工程师前钰讲解 视频内的深度学习炼丹技巧全解文档+炼丹具体代码可在我的的gong.粽.号.【动手学Ai】发送【111】无偿自取就行哦~

Grok 4 正式免费发布！马斯克最强的xAI模型，向全球所有用户开放！实测效果如何？ | 零度解说

这应该是普通人用Ai赚钱最低门槛的事。

【带年】超简单的平面素材转三维多视角的方法

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Deepseek写小说的正确指令！超全，快存下~