Most of the content I work on for IBM is strictly internal, for IBM eyes only. Every once in a while I get to shoot for the masses. You’ll find some of that content below. These people are wicked smart.

ETL vs ELT: Powering Data Pipelines for AI & Analytics

What Open Source AI Really Means: Transparency, Freedom, & Impact

GraphRAG Explained: AI Retrieval with Knowledge Graphs & Cypher

What is vLLM? Efficient AI Inference for Large Language Models

How to Choose Large Language Models: A Developer’s Guide to LLMs

Optimize RAG with AI Agents & Vector Databases

What is Ollama? Running Local LLMs Made Simple

AI Accelerators: Transforming Scalability & Model Efficiency

Run AI Models Locally with Ollama: Fast & Simple Deployment

Maximize AI Potential with an Ensemble of AI Models

LangChain RAG: Optimizing AI Models for Accurate Responses

Time Series Forecasting with Lag Llama

AI Tools for Developers: Streamlining Code with Generative Models

Confusion to Clarity: Mastering Confusion Matrix in Machine Learning

Connecting Large Language Models to Chatbots in Under 10 Minutes

Modernizing code with AI Code Assistants

The human side of HR — Fostering genuine connections with AI

Scale your tech with a dynamic duo — AI and hybrid cloud

AI in Action Podcast Trailer