腾讯微信小程序-大模型算法工程师-开发生态
社招全职2年以上小程序技术地点:广州状态:招聘
任职要求
1.熟练掌握 Python/C++ 等至少一门编程语言,熟悉 PyTorch/TensorFlow 等至少一种深度学习框架; 2.熟悉主流大模型训练框架 Megatron/DeepSpeed,深入理解 Transformer/GPT 等模型架构; 3.具备大语言模型研究和应用经验,包括 SFT/DPO/PPO/GRPO 等技术的落地实践; 4.具备良好的数据处理能力,具备快速学习和解决问题能力,有团队合作精神; 5.对于探索前沿技术有热情,具备独立探索前沿技术的能力。 加分项 1.在 NeurIPS、ACL、ICML、EMNLP 等顶会有以第一作者发表过论文优先; 2.有 RAG 技术实现与调优、Agent 应用落地经验优先; 3.有大模型测评,大模型数据管理相关经验优先。
工作职责
1.负责LLM训练算法(SFT、RL)、训练数据合成、自动评测相关算法研究,提升模型在问答、代码生成、数据分析等领域的推理能力; 2.负责跟踪 AI 领域的技术进展,参与前沿算法研究,推动业界成果在小程序开发生态落地应用。
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.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
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.
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
Megatron+
https://www.youtube.com/watch?v=hc0u4avAkuM
DeepSpeed+
https://www.youtube.com/watch?v=pDGI668pNg0
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.
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.
SFT+
https://cameronrwolfe.substack.com/p/understanding-and-using-supervised
Understanding how SFT works from the idea to a working implementation...
NeurIPS+
https://neurips.cc/
ICML+
https://icml.cc/
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
ACL+
https://www.aclweb.org/portal/
Computational linguistics is the scientific study of language from a computational perspective.
EMNLP+
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