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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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...
Data Council 2025: The Databases Track with Sai Krishna Srirampur and Craig Kerstiens
Heavybit is thrilled to be sponsoring Data Council 2025, and we invite you to join us in Oakland from Apr 22-24 to experience 3...
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...
Machine Learning Model Monitoring: What to Do In Production
Machine learning model monitoring is the process of continuously tracking and evaluating the performance of a machine learning...
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...
How to Think About Positioning for Open Source
Positioning Open Source for Your Community (and Yourself) Why is Heavybit posting this extensive interview on thinking through...
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...
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 Create Data Pipelines
How to Create Data Pipelines Introduction to Data Pipelines In today’s data-driven world developers and product managers rely...
Understanding Business Models & Defensibility in Open Source
First-Principles Business Models Matter for Open Source A key concern for open-source startup founders is defensibility–how to...
Enterprise AI Infrastructure: Compliance, Risks, Adoption
How Enterprise AI Infrastructure Must Balance Change Management vs. Risk Aversion 50%-60% of enterprises reportedly “use” AI,...
The Data Pipeline is the New Secret Sauce
Why Data Pipelines and Inference Are AI Infrastructure’s Biggest Challenges While there’s still great excitement around AI and...