Author: Deep Learner

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Game of Throne Author Along With 17 Others Sue OpenAI Over Copyright Claims

Lawsuit Unveiled: George R.R. Martin, celebrated for his ‘A Song of Ice and Fire’ book—the inspiration for HBO’s ‘Game of Thrones’—is leading a group of 17 illustrious authors in a lawsuit against ChatGPT’s developer, OpenAI. This week, the author group, which includes likes of David Baldacci, Jonathan Franzen, John Grisham, and Jodi Picoult, expressed their grievances at the AI firm in Manhattan’s federal court. The Heart of the Matter: The Authors Guild claims that Microsoft-supported OpenAI committed “systemic theft on […]

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Python

Python 3.12 Preview: Subinterpreters

Now that you know what a Python subinterpreter is, you’ll take a look at what’s changing in the upcoming releases of CPython. Most of the subinterpreter changes are described in two proposals, PEP 684 and PEP 554. Only PEP 684 will make it into the 3.12 release. PEP 554 is scheduled for the 3.13 release but hasn’t been officially approved yet. Changes to the Global State and the GIL The main focus of PEP 684 is refactoring the internals of […]

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NumPy Log Base 2 Tutorial | numpy.log2() in Python

Introduction In this article, we will look at the NumPy Python library’s numpy.log2() function, which is used to calculate the logarithm base 2 of its inputs. With the help of several examples of the np.log2() function, we will explore its syntax and different uses. Syntax of Numpy.log2() The syntax of the Numpy Log2 function is as below – numpy.log2(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj]) x: It denotes the input array or object that can be […]

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Microsoft Launches Copilot AI in Windows 11

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OpenAI Unveils Dall-E 3: Text-to-Image Advancement

OpenAI, the innovative tech company, has made a significant stride in the area of artificial intelligence with the introduction of Dall-E 3, the latest iteration of its renowned text-to-image tool. This cutting-edge technology utilizes the popular AI chatbot ChatGPT to bring users a seamless experience in transforming text prompts into images. Scheduled to roll out in October, Dall-E 3 will be accessible exclusively to ChatGPT Plus and Enterprise customers via the API. This advancement empowers users to effortlessly craft requests […]

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Python

Speeding up your code when multiple cores aren’t an option

The common advice when Python is too slow is to switch to a low-level compiled language like Cython or Rust. But what do you do if that code is too slow? At that point you might start thinking about parallelism: using multi-threading or multi-processing so you can take advantage of multiple CPU cores. But parallelism comes with its own set of complexities; at the very least, some algorithms can only really work in a single-threaded way. So what can you […]

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Python

How to Catch Multiple Exceptions in Python

In this tutorial, you’ll learn various techniques to catch multiple exceptions with Python. To begin with, you’ll review Python’s exception handling mechanism before diving deeper and learning how to identify what you’ve caught, sometimes ignore what you’ve caught, and even catch lots of exceptions. Python raises an exception when your code encounters an occasional but not unexpected error. For example, this will occur if you try to read a missing file. Because you’re aware that such exceptions may occur, you […]

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Python

Design and Guidance: Object-Oriented Programming in Python

Writing good object-oriented code is about more than just how to write the syntax. Knowing when and when not to use it, as well as guiding principles behind object-oriented design will help you write better code. In this course, you’ll learn about: The objected-oriented approach in Python vs other languages Cases in which you shouldn’t use classes in Python Alternatives to inheritance in structuring your code The SOLID principles for improving your code SOLID is an acronym for five principles […]

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Announcing the DeepSpeed4Science Initiative: Enabling large-scale scientific discovery through sophisticated AI system technologies

Introduction  In the next decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scientific exploration, bringing significant advancements across sectors from drug development to renewable energy. In line with Microsoft’s mission to empower every person and every organization on the planet to achieve more, the DeepSpeed (opens in new tab) team at Microsoft is responding to this opportunity by  

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