阿里巴巴面向云原生的因果世界模型与自主运维智能体-阿里星
实习兼职阿里巴巴2027届实习生地点:北京 | 杭州状态:招聘♡ 收藏
工作描述
任职要求 1. 专业背景扎实,计算机、人工智能、软件工程、模式识别、统计学等相关专业; 2. 具备扎实的算法功底,熟练掌握机器学习/深度学习算法基础,在顶级会议/期刊发表过相关论文; 3. 掌握 LLM 技术能力,熟悉 LLM 主流算法原理,在 Fine-tuning、Prompt Engineering、RAG、Agentic 应用开发等一个或多个方向有实践经验; 4. 对 AI 有极客般的探索与实战精神:对大模型、AI Agent 技术有浓厚兴趣,能熟练使用 AI 编程工具,有过大模型微调,或 Agent 应用开发,上下文工程等相关开发经验优先; 5. 有强烈技术热情和好奇心,自驱力和学习力强;具备良好的分析与解决问题的能力、沟通以及团队合作能力;喜欢挑战性的技术研发工作,善于攻坚克难,有创新热情,积极乐观,坚韧…
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包括英文材料
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
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