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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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...
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...
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...
Technical & Cultural Learnings from 10 Years of Computing
What the Software Community Has Learned from 10 Years in Tech Amara’s Law states, “We tend to overestimate the effect of a...
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...
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...
How LLM Guardrails Reduce AI Risk in Software Development
How LLM Guardrails Minimize the Risks of AI in Software Development Integrating Language Learning Models (LLMs) into software...
Incident Response and DevOps in the Age of Generative AI
How Does Generative AI Work With Incident Response? Software continues to eat the world, as more dev teams depend on third-party...
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...
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...
MLOps vs. Eng: Misaligned Incentives and Failure to Launch?
Failure to Launch: The Challenges of Getting ML Models into Prod Machine learning is a subset of AI–the practice of using...
Data Privacy, Security, and Identity in the Age of GenAI
What Generative AI Means for Privacy, Security, and Identity Generative AI’s potential impact on software development as a...