Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
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| # Manus AI Assistant Capabilities | |
| ## Overview | |
| I am an AI assistant designed to help users with a wide range of tasks using various tools and capabilities. This document provides a more detailed overview of what I can do while respecting proprietary information boundaries. | |
| ## General Capabilities | |
| ### Information Processing | |
| - Answering questions on diverse topics using available information | |
| - Conducting research through web searches and data analysis |
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| # train_grpo.py | |
| import re | |
| import torch | |
| from datasets import load_dataset, Dataset | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| from peft import LoraConfig | |
| from trl import GRPOConfig, GRPOTrainer | |
| # Load and prep dataset |
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| # Suno/Udio AI Song Syntax | |
| ## Overview | |
| Suno uses Chirp to generate songs, which is a generative model. We must create documents that prompt the model correctly. To do this, we use specific tags to break the songs up into sections that the model understands. | |
| ## Base Tags | |
| This list represents all of the valid base tags. Each of these tags can be modified and has several ways they can be used, but in general these are the only valid tags |
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| /***************************************************************************** | |
| * QuantCup 1: Price-Time Matching Engine | |
| * | |
| * Submitted by: voyager | |
| * | |
| * Design Overview: | |
| * In this implementation, the limit order book is represented using | |
| * a flat linear array (pricePoints), indexed by the numeric price value. | |
| * Each entry in this array corresponds to a specific price point and holds | |
| * an instance of struct pricePoint. This data structure maintains a list |