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...
How to Start an Open-Source Project
How to Start an Open-Source Project Why is Heavybit posting a first-principles guide on how to create an open-source project?...
The Power User’s Guide to Open-Source Licenses
Licensing: A Key Trade-Off for Open Source Startups Why is Heavybit putting together this guide for open-source startup founders...
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...
Best Practices for Developing Data Pipelines in Regulated Spaces
How to Think About Data Pipelines in Regulated Spaces Tech teams standing up new AI programs, or scaling existing programs, need...
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...
Enterprise AI Infrastructure: Compliance, Risks, Adoption
How Enterprise AI Infrastructure Must Balance Change Management vs. Risk Aversion 50%-60% of enterprises reportedly “use” AI,...
How to Launch a Dev-First Startup: Community & Leadership
Welcome to the second article in our definitive series on how to launch a developer-first startup, featuring advice from veteran...
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...
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...
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...
Emerging Legal Challenges for Open Source in the Age of AI
Defensibility and AI-Related Legal Issues for Open Source Open-source software has been called “the most positive and...