Reading List
A curated collection of interesting articles and resources
An introduction to Agentic Design Patterns and how they improve AI-driven workflows with tool-calling capabilities.
A detailed breakdown of Agentic Design Patterns, their implementation, and real-world applications.
A discussion on how AI models utilize agentic design principles to improve reasoning and decision-making through tool use.
Stanford's CS324 course covering the fundamentals, advancements, and applications of Large Language Models.
Use Enums, Not Booleans
software-engineering
An argument for using Enums instead of booleans to improve code readability and maintainability.
A look into how guardrails help mitigate hallucinations and inappropriate outputs in Large Language Models.
A research paper introducing GradSafe, a method for detecting unsafe prompts in LLMs using safety-critical gradient analysis.
An open-source framework for aligning and ensuring the safety of Large Language Models.
Ollama provides an easy way to run and experiment with Large Language Models locally.