Python Algorithmic Trading Part 3: Cloud Trading Automation
danielyouk
This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.
Intermediate
Python, Quant, github-actions
RunPod is a service that allows you to rent virtual GPUs in the cloud to train and deploy AI models . It easily builds a multi-GPU environment for efficient, large-scale training and inference. With hourly billing, you can use only as much as you need, resulting in significant cost savings. Furthermore, you can immediately leverage the latest GPUs without complex infrastructure, maximizing AI performance.
Multi-GPU Fine-Tuning: Creating the Optimal LLM Training Environment
Learn how to efficiently conduct LLM training without hardware limitations using multi-GPUs. This guide details how to build a multi-GPU environment using the RunPod service and connect to the Pod from your local environment via SSH.
Building Your Own LLM: Customizing AI Models with Fine-Tuning
Now, build your own AI as smart as ChatGPT! In this course, you'll learn how to fine-tune an AI model that converts Korean input into Shakespearean English .
Leveraging the OpenAI API: Building the Dataset Required for Model Training
By leveraging the OpenAI API, you can overcome data shortage issues and efficiently secure high-quality data needed for model training.
from openai import OpenAI
client = OpenAI()
completion = client.chat.completions.create(
model= "gpt-4o" ,
messages=[
{ "role" : "developer" , "content" : "You are a helpful assistant." },
{
"role" : "user" ,
"content" : "Translate the following English text into a Shakespearean style."
}
]
)
print (completion.choices[ 0 ].message) 
AI Development Hands-on: Fine-Tuning Your LLM with the Latest Technology Stack
From generating data with the OpenAI API, downloading LLM from HuggingFace, running models with Ollama, and optimizing with RunPod GPU, you'll experience the latest AI technology stack all at once and master the practical workflow of LLM fine-tuning.
