快手大语言模型算法工程师
校招全职J1003地点:杭州 | 北京状态:招聘
包括英文材料
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.
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.
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
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
相关职位
社招CAI中台技术
1.提升LLM角色扮演、剧情生成等方向的能力,解决profile遵循、剧情多样性和自动化评估等相关技术问题; 2.探索LLM模型的CoT能力,负责在角色扮演、剧情生成等方向上落地; 3.关注LLM业界前沿动态,能够在实际工作中应用落地,并参与撰写技术文档和学术论文,分享和传播技术成果。
更新于 2025-05-06
社招
我们正在寻找对大语言模型(Large Language Model,LLM)充满热情的算法工程师,加入我们的核心AI团队。你将参与从模型预训练、微调、推理优化到多场景应用落地的全流程工作,推动LLII技术在对话系统、内容生成、知识推理、具身智能等领域的创新。 1. 探索超大规模模型,并进行极致系统优化; 2. 数据建设、指令微调、偏好对齐、模型优化; 3. 相关应用落地,包括生成创作、逻辑推理、情境对话等; 4. 在未来生活中的更多使用场景的深入研究和探索。
更新于 2025-03-04