蚂蚁金服【蚂蚁星-Plan A】多模态大模型研发-生成与理解统一(实习)
实习兼职蚂蚁星- Plan A人才计划实习地点:北京 | 上海 | 杭州状态:招聘
工作描述
任职要求 1. 计算机科学、人工智能、数学等相关专业硕士及以上学历,博士优先; 2. 深入掌握Transformer/BERT/GPT等架构,有1个以上千亿参数大模型实战经验(训练/推理/优化全流程); 3. 精通多模态技术栈:CLIP/BLIP/Flamingo等跨模态模型调优,熟悉Diffusion/Stable Diffusion等生成模型; 4. 熟练使用PyTorch/TensorFlow框架,有Megatron-DeepSpeed/FairScale等分布式训练实战经验; 5. 掌握CUDA加速、TRT-LLM推理优化、多模态数据管道构建。 加分项 1. 在ACL/CVPR/ICML等顶会以第一作者发表多模态相关论文; 2. 主导过开源多模态项目(Hug…
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包括英文材料
学历+
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.
BERT+
https://www.youtube.com/watch?v=xI0HHN5XKDo
Understand the BERT Transformer in and out.
GPT+
https://www.youtube.com/watch?v=kCc8FmEb1nY
We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3.
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
Stable Diffusion+
https://course.fast.ai/Lessons/lesson9.html
This lesson starts with a tutorial on how to use pipelines in the Diffusers library to generate images.
https://www.youtube.com/watch?v=dMkiOex_cKU
earn how to use Stable Diffusion to create art and images in this full course.
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.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
Megatron+
https://www.youtube.com/watch?v=hc0u4avAkuM
DeepSpeed+
https://www.youtube.com/watch?v=pDGI668pNg0
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