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...
Regulation & Copyrights: Do They Work for AI & Open Source?
Emerging Questions in Global Regulation for AI and Open Source The 46th President of the United States issued an executive order...
Data Council 2025: The Foundation Models Track with Dr. Bryan Bischof and Tom Drummond
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...
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...
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 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...
Generationship Ep. #33, Developer Experience with Nicole Forsgren
In episode 33 of Generationship, Rachel Chalmers is joined by Nicole Forsgren—developer productivity researcher and co-founder of...
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...
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...
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...
Data Council 2025: The Data Science & Algorithms Track with Sean Taylor and Jesse Robbins
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...
How Startup Founders Should Think About Local-First Dev
What Local-First Dev Means for Startup Founders If you’re a startup founder, you’re always looking for some kind of edge–a way...