阿里巴巴研究型实习生 - 基于生成理解一体化的前沿具身智能大模型和数字人大模型
实习兼职阿里巴巴研究型实习生地点:北京 | 杭州状态:招聘
工作描述
任职要求 1. 计算机科学、人工智能、机器人学、自动化、人机交互或相关专业在读博士研究生; 2. 扎实的深度学习与大模型基础,熟悉Transformer、扩散模型、自回归生成、多模态对齐等核心技术; 3. 熟练掌握Python,具备PyTorch/JAX等框架下的模型训练与调试经验,有大模型训推实践经验者优先; 4. 对具身智能、数字人、多模态生成或世界模型等方向一定技术积累或有浓厚兴趣; 5. 在顶会发表相…
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包括英文材料
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
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
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.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具,在灵活性、可读性和性能上都具备相当的优势,近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
JAX+
https://docs.jax.dev/en/latest/notebooks/thinking_in_jax.html
JAX is a library for array-oriented numerical computation, with automatic differentiation and JIT compilation to enable high-performance machine learning research.
数字人+
https://www.youtube.com/watch?v=42_lCOayS6s
Taking chatbots to the next level, with emotion recognition and gesture control.
https://www.youtube.com/watch?v=DFHuV7nOgsI&list=PL05umP7R6ij13it8Rptqo7lycHozvzCJn
This lecture covers the history of virtual humans, from early models form the 80s until the more recent ones.
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