Explore the subjects I write about most often and jump directly into each topic archive.
agent memory
What Makes Good AI Agent Memory?
Reflecting on AI agent memory, context quality, and what makes memory useful, trustworthy, and user-controlled.
ai agents
What Makes Good AI Agent Memory?
Reflecting on AI agent memory, context quality, and what makes memory useful, trustworthy, and user-controlled.
Weekly Notes: OpenSearch and Speedy Startups
Reflecting on billion-scale vector search infrastructure, AI agents, and how company building may be changing.
fine tuning
Fine-Tuning OpenAI LLMs: A Quickstart Guide
A practical quickstart for preparing data, fine-tuning an OpenAI model, and comparing base versus fine-tuned performance on emotion labeling.
genai
What Makes Good AI Agent Memory?
Reflecting on AI agent memory, context quality, and what makes memory useful, trustworthy, and user-controlled.
Fine-Tuning OpenAI LLMs: A Quickstart Guide
A practical quickstart for preparing data, fine-tuning an OpenAI model, and comparing base versus fine-tuned performance on emotion labeling.
Gen AI 101- Part 1
A beginner-friendly introduction to generative AI, foundation models, and the products bringing GenAI into everyday tools and devices.
learning notes
Weekly Notes: OpenSearch and Speedy Startups
Reflecting on billion-scale vector search infrastructure, AI agents, and how company building may be changing.
llm
Fine-Tuning OpenAI LLMs: A Quickstart Guide
A practical quickstart for preparing data, fine-tuning an OpenAI model, and comparing base versus fine-tuned performance on emotion labeling.
machine learning
What Makes Good AI Agent Memory?
Reflecting on AI agent memory, context quality, and what makes memory useful, trustworthy, and user-controlled.
Weekly Notes: OpenSearch and Speedy Startups
Reflecting on billion-scale vector search infrastructure, AI agents, and how company building may be changing.
Fine-Tuning OpenAI LLMs: A Quickstart Guide
A practical quickstart for preparing data, fine-tuning an OpenAI model, and comparing base versus fine-tuned performance on emotion labeling.
Creating a simple web app with FastAPI and Streamlit
A hands-on walkthrough for building a simple machine learning web app with FastAPI, Uvicorn, Streamlit, and a banknote classifier.
Gen AI 101- Part 1
A beginner-friendly introduction to generative AI, foundation models, and the products bringing GenAI into everyday tools and devices.
openai
Fine-Tuning OpenAI LLMs: A Quickstart Guide
A practical quickstart for preparing data, fine-tuning an OpenAI model, and comparing base versus fine-tuned performance on emotion labeling.
python
Fine-Tuning OpenAI LLMs: A Quickstart Guide
A practical quickstart for preparing data, fine-tuning an OpenAI model, and comparing base versus fine-tuned performance on emotion labeling.
Creating a simple web app with FastAPI and Streamlit
A hands-on walkthrough for building a simple machine learning web app with FastAPI, Uvicorn, Streamlit, and a banknote classifier.
startups
Weekly Notes: OpenSearch and Speedy Startups
Reflecting on billion-scale vector search infrastructure, AI agents, and how company building may be changing.
vector search
Weekly Notes: OpenSearch and Speedy Startups
Reflecting on billion-scale vector search infrastructure, AI agents, and how company building may be changing.