OpenAI Wants Everyone to Build Their Own Version of ChatGPT

OpenAI Wants Everyone to Build Their Own Version of ChatGPT

Software News
OpenAI’s ChatGPT became a phenomenon thanks to its wide-ranging abilities, such as drafting college essays, writing working computer programs, and digging up information from across the web. Now the company aims to further widen the range of tricks up ChatGPT’s sleeve by making it possible for anyone to build a custom chatbot powered by the technology—without any coding skills. OpenAI suggests people might want to build custom bots to help with specific problems or interests in their life, such as helping someone learn the rules of a board game, teach their kids math, or help design stickers using AI-generated art. To create one of these custom bots or AI agents, which OpenAI calls “GPTs,” a user need only specify, by talking with ChatGPT, what they would like the bot to do. Behind the scenes,…
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Get started with Java’s new structured concurrency model

Get started with Java’s new structured concurrency model

Software News
Structured concurrency is a new way to use multithreading in Java. It allows developers to think about work in logical groups while taking advantage of both traditional and virtual threads. Available in preview in Java 21, structured concurrency is a key aspect of Java’s future, so now is a good time to start working with it.TABLE OF CONTENTS Why we need structured concurrency The new StructuredTaskScope class Multithreading with structured concurrency Working with tasks and subtasks Conclusion Why we need structured concurrency Writing concurrent software is one of the greatest challenges for software developers. Java’s thread model makes it a strong contender among concurrent languages, but multithreading has always been inherently tricky. Structured concurrency allows you to use multiple threads with structured programming syntax. In essence, it provides a way to write concurrent software using familiar…
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Virtualenv and venv: Python virtual environments explained

Virtualenv and venv: Python virtual environments explained

Software News
Of all the reasons Python is a hit with developers, one of the biggest is its broad and ever-expanding selection of third-party packages. Convenient toolkits for everything from ingesting and formatting data to high-speed math and machine learning are just an import or pip install away. But what happens when those packages don’t play nice with each other? What do you do when different Python projects need competing or incompatible versions of the same add-ons? That’s where Python virtual environments come into play. What are Python virtual environments? A virtual environment is a way to have multiple, parallel instances of the Python interpreter, each with different sets of packages and different configurations. Each virtual environment contains a discrete copy of the Python interpreter, including copies of its support utilities. Concurrency and parallelism in Python, explained https://imasdk.googleapis.com/js/core/bridge3.607.0_en.html#goog_753310168 0 seconds…
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