通义研究型实习生-智能体与大模型时代的数据智能前沿技术探索与应用
实习兼职通义研究型实习生地点:北京 | 杭州状态:招聘
工作描述
任职要求 1. 计算机、人工智能等相关专业硕士或博士在读; 2. 熟练掌握 Python和主流深度学习框架,具备良好系统实现能力; 3. 对大模型、智能体、强化学习、数据智能有浓厚兴趣,能独立阅读论文并复现核心思想; 4. 每周可实习 ≥4 天,持续 3 个月以上,鼓励长期投入。 加分项: 1. 有大语言模型、数据智能相关的项目/实习经验; 2. 在 ICML、NeurIPS、ICLR、SIGMOD、VLDB 等相关顶级会议发表过论文; 3. 获得 ACM 编程 或 ML/NLP/CV 相关竞赛奖项; 4. 参与过知名开源项目,或为开源框架/算法的主要贡献者; 5. 熟悉分布式计算、LLM 应用或…
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包括英文材料
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
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
智能体+
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents.
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
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