Advanced Fine-Tuning
Advanced Fine-Tuning
Advanced Fine-Tuning
Enhance the capabilities of AI agents using agent skills
Notes from DataCamp's Understanding Machine Learning Course
Using AI for coding tasks, including best practices and techniques for effective prompting
Using AI models to assist in writing and understanding code
Starter Notes on AI
Attention Mechanisms
Building Blocks of LLM
Adopting ChatGPT
Different modes of using Github Copilot
How to customize Github Copilot settings
How AI agents think and act through frameworks
Using GitHub Copilot Chat to identify and address security issues in code
Notes from the Gen AI Introductory course from DataCamp
Explainability and Interpretability
Starter Notes on AI Copilot
Guardrails help agents stay on task and prevent misuse or errors.
Guide GitHub Copilot with context for better code generation results.
Mitigating Risks in Agent Systems
Notes from DataCamp's Understanding Machine Learning Course
Model Context Protocol and Agent-to-Agent Protocol
Using Model Context Protocol tools with GitHub Copilot
Measuring AI Success
ML Lifecycle
Understanding the constraints and challenges of AI models
Optimizing AI performance using various prompt engineering techniques
Pre-Training
Fundamentals of creating effective prompts for AI models.
Techniques for guiding AI model responses through prompts
From Proof-of-Concept to Production
Key agentic design principles to set up your agents for scaling
Guide to setting up OpenAI for AI development.
Starter Notes on AI Agents
Starter Notes on LLM
How to switch and customize models in GitHub Copilot
The Human Side of AI
Transformers
Notes from DataCamp's Understanding Machine Learning Course
Using subagents in GitHub Copilot to break down complex tasks into manageable parts
Using AI models to assist in writing tests and identifying security issues in code