The hottest API Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

OpenAI's Reinforcement Finetuning and RL for the masses

Democratizing Automation • 427 implied HN points • 11 Dec 24
🕹 Technology Artificial Intelligence Machine Learning Deep Learning Data science API Development
  1. Reinforcement Finetuning (RFT) allows developers to fine-tune AI models using their own data, improving performance with just a few training samples. This can help the models learn to give correct answers more effectively.
  2. RFT aims to solve the stability issues that have limited the use of reinforcement learning in AI. With a reliable API, users can now train models without the fear of them crashing or behaving unpredictively.
  3. This new method could change how AI models are trained, making it easier for anyone to use reinforcement learning techniques, not just experts. This means more engineers will need to become familiar with these concepts in their work.

Amber, Babylon, sun.misc.Unsafe and the rest: Java's plans for 2024 - JVM Weekly vol. 69

JVM Weekly • 98 implied HN points • 25 Jan 24
🕹 Technology Programming Software updates Technology Adoption API Development
  1. Java has ambitious plans for 2024 with projects like Amber, Babylon, and Valhalla focused on improving performance, memory efficiency, and concurrency.
  2. New JEPs in 2024 include proposals to deprecate memory access methods in sun.misc.Unsafe and enhancements for pattern matching for primitive types.
  3. Jakarta EE 11 now offers support for JDK 17 alongside JDK 21 to ease migration and accommodate user preferences for Java versions.

Data Science Weekly - Issue 94

Data Science Weekly Newsletter • 19 implied HN points • 10 Sep 15
🕹 Technology Data science Machine Learning Neural Networks Statistics API Development
  1. Data science combines skills from statistics and computer science to analyze and interpret complex data. It's a growing field that's seen as crucial for modern businesses.
  2. Neural networks are important in deep learning, allowing computers to identify patterns and make predictions. They can be complex but are essential for many applications like image and speech recognition.
  3. Understanding foundational topics, like probability and linear algebra, is key for anyone wanting to succeed in data science. There are plenty of resources available to help learn these subjects.

💥 Tech Talks Weekly #34: What Is This OpenTelemetry Thing?, CI/CD Patterns and Antipatterns, Transactional Outbox & Inbox patterns, Java's Hidden Gems, Reliability Engineering at Zalando

Tech Talks Weekly • 0 implied HN points • 24 Oct 24
🕹 Technology Software Development Data Management Open Source API Development
  1. OpenTelemetry helps developers track how well their software works across different systems. It makes it easier to find and fix problems in applications.
  2. Understanding good and bad practices in CI/CD can improve your software delivery process. Knowing these patterns can save time and avoid common mistakes.
  3. The transactional outbox and inbox patterns ensure that messages between systems are delivered safely. They help prevent lost messages, especially in complex applications.

Low-code API Prototyping Using Webhooks

The API Changelog • 0 implied HN points • 28 Nov 24
🕹 Technology API Development Prototyping Software Engineering
  1. Webhooks are a great tool for creating API prototypes quickly and easily. They allow different applications to communicate without needing a lot of coding.
  2. Using webhooks, you can set up various actions like listing, retrieving, and creating items in an API. For example, you can manage a coffee list with simple GET and POST requests.
  3. This method is user-friendly and helps you get feedback quickly. It's perfect for testing ideas without a complex setup.
Get a weekly roundup of the best Substack posts, by hacker news affinity: