Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
๐
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
Custom AI Agents with Kilo Code
ยท
Module 1
Foundations of LLM Interaction
1
Designing LLM Prompts for Trading & Basic API Interaction
Craft a system prompt to define an LLM's persona, capabilities, and constraints for a trading context, then execute a basic API call using Python.
2
Optimizing Text Generation: Temperature, Top_p, and Max_Tokens
Manipulate key generation parameters (temperature, top_p, max_tokens) and analyze their impact on the creativity and structure of trading-related text generation.
3
Multi-Turn Conversation for Sequential Trading Analysis
Implement a multi-turn conversation by managing the message history to maintain context for a sequential trading analysis task, while respecting token limits.
Next module isn't ready yet,
Back to course
Previous module
Next module