I write about both the foundations and practical implementation of modern AI systems, with a focus on GenAI engineering, system reliability, and applied architecture.

16 published technical articles on AI / LLM systems

Featured Articles

LLM Agents: Their Past, Present, and Future

An overview exploring the evolution, current state, and future trajectory of Large Language Model agents.

LLMs Agents

Fine-Tuning Large Language Models

A guide on adapting pre-trained LLMs to specific tasks and datasets.

Fine-Tuning LLMs

Prompting and Prompt Engineering

Practical techniques for crafting effective prompts and improving AI outputs.

Prompting LLMs

Large Language Models with Graceful Fallbacks

Strategies for reliability, fallback behavior, and safer LLM application design.

Reliability LLMs

Data Retrieval with LangChain Indexing

A guide to indexing and retrieval patterns using LangChain.

RAG LangChain

LangChain's SQL Agent

Using LangChain agents to interact with SQL databases for structured data retrieval.

Agents LangChain

Fine-Tuning LLaMA-2 with LoRA for Customer Support

A practical tutorial on LoRA-based fine-tuning for customer support use cases.

Fine-Tuning LoRA

Building an Intelligent Document Assistant Powered by LLaMA-2

A practical walkthrough of building a document assistant using LLaMA-2 for retrieval-augmented question answering.

RAG LLMs

By Topic

LLM Foundations

• Demystifying Transformers: Architecture and Functionality
• Language Models: From GPT to LLaMA
• Understanding Generative AI: A Comprehensive Guide
• Self-Supervised Learning in the Context of LLMs

Agents, LangChain & Application Design

• LLM Agents: Their Past, Present, and Future
• Understanding LangChain Agents with Example
• LangChain's SQL Agent
• Unlocking Application Development with LangChain
• Data Retrieval with LangChain Indexing

Fine-Tuning & Adaptation

• Fine-Tuning Large Language Models
• Fine-Tuning LLaMA-2 with LoRA for Customer Support
• Fine-Tuning DaVinci-002: A Practical Guide

Production LLM Systems

• Large Language Models with Graceful Fallbacks
• Prompting and Prompt Engineering
• Building an Intelligent Document Assistant Powered by LLaMA-2