The Heavybit Library
The Heavybit Library is an extensive catalog of educational content featuring hundreds of hours of expert presentations, insightful podcasts, and articles focused on helping technical founders achieve breakout success.
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RAG vs. Fine-Tuning: What Dev Teams Need to Know
RAG vs. Fine-Tuning: Advantages and Disadvantages In the rapidly evolving world of artificial intelligence, the ability of...
The Role of Synthetic Data in AI/ML Programs in Software
Why Synthetic Data Matters for Software Running AI in production requires a great deal of data to feed to models. Reddit is now...
The Future of Coding in the Age of GenAI
What AI Assistants Mean for the Future of Coding If you only read the headlines, AI has already amplified software engineers...
Designing for Success at Developer Companies
I recently attended a great workshop at DesignMap called “Maximize the Value of Design in Your Organization.” Rather than present...
LLM Fine-Tuning: A Guide for Engineering Teams in 2025
General-purpose large language models (LLMs) are built for broad artificial intelligence (AI) applications. The most popular...
Synthetic Data for AI: Purpose and Use Cases
What to Know About Synthetic Data for AI Programs For software developers, large language models (LLMs) like ChatGPT can help...
AI Inference: A Guide for Founders and Developers
What Is AI Inference (And Why Should Devs Care?) AI inference is the process of machine learning models processing previously...
How to Properly Scope and Evolve Data Pipelines
For Data Pipelines, Planning Matters. So Does Evolution. A data pipeline is a set of processes that extracts, transforms, and...
Machine Learning Lifecycle: Take Projects from Idea to Launch
Machine learning is the process of teaching deep learning algorithms to make predictions based on a specific dataset. ML...
Enterprise AI Infrastructure: Privacy, Maturity, Resources
Enterprise AI Infrastructure: Privacy, Economics, and Best First Steps The path to perfect AI infrastructure has yet to be...