{
return {
lessons: [
{
title: "Lesson 1: Introduction to Prediction in Robotics",
resources: {
research_paper: "https://arxiv.org/abs/1706.04329",
blog_post:
"https://robohub.org/the-importance-of-prediction-in-robotics/",
github_repo: "https://github.com/petercorke/robotics-toolbox-python"
}
},
{
title: "Lesson 2: Fundamentals of Large Language Models (LLMs)",
resources: {
blog_post: "http://jalammar.github.io/illustrated-transformer/",
research_paper: "https://arxiv.org/abs/1706.03762",
github_repo:
"https://github.com/jadore801120/attention-is-all-you-need-pytorch",
jupyter_notebook:
"https://github.com/tensorflow/docs/blob/master/site/en/tutorials/text/transformer.ipynb"
}
},
{
title: "Lesson 3: Integrating LLMs into Robotic Systems",
resources: {
research_paper: "https://arxiv.org/abs/2201.07207",
github_repo: "https://github.com/vimalabs/vima",
blog_post:
"https://deepmind.com/blog/article/combining-robotics-and-language-models"
}
},
{
title: "Lesson 4: Predicting Behavior of Other Agents Using LLMs",
resources: {
research_paper: "https://arxiv.org/abs/1506.01919",
github_repo: "https://github.com/agrimgupta92/sgan",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 5: Modeling Human Behavior with LLMs",
resources: {
research_paper: "https://arxiv.org/abs/1803.10813",
blog_post:
"https://towardsdatascience.com/understanding-human-behavior-with-ai-1b5df846c6c0",
github_repo:
"https://github.com/healthai-lab/Human-Activity-Recognition"
}
},
{
title: "Lesson 6: LLMs for Path Prediction in Multi-Agent Systems",
resources: {
research_paper: "https://arxiv.org/abs/2001.03093",
github_repo: "https://github.com/StanfordASL/Trajectron-plus-plus",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 7: Social Navigation with LLM-based Prediction",
resources: {
research_paper: "https://arxiv.org/abs/1803.10892",
github_repo: "https://github.com/agrimgupta92/sgan",
blog_post:
"https://spectrum.ieee.org/robot-navigation-social-awareness"
}
},
{
title: "Lesson 8: LLMs in Predictive Maintenance",
resources: {
research_paper: "https://www.mdpi.com/1424-8220/18/10/3653",
github_repo:
"https://github.com/Azure/MachineLearningSamples-PredictiveMaintenance",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 9: Stock Market Prediction with LLMs",
resources: {
research_paper: "https://arxiv.org/abs/1907.00970",
github_repo: "https://github.com/huseinzol05/Stock-Prediction-Models",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 10: Time Series Analysis Using LLMs",
resources: {
research_paper: "https://arxiv.org/abs/1912.09363",
github_repo: "https://github.com/unit8co/darts",
jupyter_notebook: "https://unit8co.github.io/darts/examples/"
}
},
{
title: "Lesson 11: Environmental Change Prediction",
resources: {
research_paper:
"https://www.sciencedirect.com/science/article/pii/S0924271618300775",
github_repo:
"https://github.com/rcdaudt/fully_convolutional_change_detection",
blog_post:
"https://www.weforum.org/agenda/2020/01/ai-climate-change-environmental-impact/"
}
},
{
title: "Lesson 12: LLMs in Autonomous Driving Prediction",
resources: {
research_paper: "https://arxiv.org/abs/2003.00089",
github_repo: "https://github.com/xk-huang/VectorNet",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 13: Ethical Considerations in LLM-based Prediction",
resources: {
research_paper:
"https://link.springer.com/article/10.1007/s00146-017-0760-8",
blog_post:
"https://www.brookings.edu/research/how-artificial-intelligence-is-transforming-the-world/"
}
},
{
title: "Lesson 14: Integrating Reinforcement Learning and LLMs",
resources: {
research_paper: "https://arxiv.org/abs/2002.04105",
github_repo: "https://github.com/dennybritz/reinforcement-learning",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 15: Predicting Human Intentions with LLMs",
resources: {
research_paper: "https://ieeexplore.ieee.org/document/8462891",
github_repo:
"https://github.com/interaction-lab/Human-Intent-Recognition",
blog_post:
"https://towardsdatascience.com/predicting-human-intent-with-ai-5d3e1dbba8e0"
}
},
{
title: "Lesson 16: LLMs in Natural Language Processing for Prediction",
resources: {
research_paper: "https://arxiv.org/abs/2005.14165",
github_repo: "https://github.com/openai/gpt-3",
jupyter_notebook:
"https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb"
}
},
{
title: "Lesson 17: Predicting System Failures with LLMs",
resources: {
research_paper: "https://arxiv.org/abs/1607.00148",
github_repo: "https://github.com/khundman/telemanom",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 18: LLMs for Decision Making in Robotics",
resources: {
research_paper: "https://arxiv.org/abs/2106.01345",
github_repo: "https://github.com/kzl/decision-transformer",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 19: Multimodal Data Prediction with LLMs",
resources: {
research_paper: "https://arxiv.org/abs/1907.01166",
github_repo: "https://github.com/facebookresearch/mmbt",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 20: LLMs in Predictive Control Systems",
resources: {
research_paper: "https://arxiv.org/abs/1802.04206",
github_repo: "https://github.com/locuslab/mpc.pytorch",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 21: Future Trends in LLM-based Prediction",
resources: {
blog_post:
"https://spectrum.ieee.org/robotics/artificial-intelligence",
research_paper: "https://arxiv.org/abs/2106.00000"
}
},
{
title: "Lesson 22: Case Study—Behavior Prediction in Robotics",
resources: {
research_paper: "https://arxiv.org/abs/1909.03807",
github_repo: "https://github.com/vita-epfl/CrowdNav",
blog_post:
"https://news.stanford.edu/2018/12/14/robots-predicting-human-movement/"
}
},
{
title: "Lesson 23: Case Study—Stock Market Prediction Using LLMs",
resources: {
research_paper: "https://arxiv.org/abs/2002.06103",
github_repo: "https://github.com/ZhengyaoJiang/PGPortfolio",
jupyter_notebook: "Included in the GitHub repository"
}
},
{
title: "Lesson 24: Hands-on Project—Implementing LLM-based Prediction",
resources: {
github_repo: "https://github.com/huggingface/transformers",
jupyter_notebook:
"https://github.com/huggingface/transformers/blob/main/notebooks/01-training.ipynb",
blog_post:
"https://towardsdatascience.com/how-to-build-a-language-model-733b7b9c6e19"
}
},
{
title: "Lesson 25: Review and Assessment",
resources: {
resources:
"Utilize the materials from the previous lessons for review.",
assessment_tools:
"Create quizzes using Google Forms or interactive exercises using Jupyter Notebook."
}
}
]
};
}