Code

How I Turned My Company’s Docs right into a Searchable Database with OpenAI Converting the docs to a unified format Processing the documents Embedding text and code...

And the way you'll be able to do the identical along with your docsI also used argparse to make this docs search functionality available via the command line. When the package is installed, the...

Google’s Bard can now generate Code

How Google’s AI can assist you with ProgrammingGoogle doesn’t need to fall behind its competitors, especially Microsoft when it comes to chatbots. So these news may be interesting.To be able to stay on Microsoft’s...

Generate Fake Images that Look Real with Only a Few Lines of Code

Have you ever ever wondered how some web sites or apps can create realistic-looking images of individuals, animals, or places that don’t exist in real life? How do they try this? And what are...

How Can ChatGPT Help You Learn to Code?

There are lots of ways to learn to code. There are lots of tools, equivalent to books, tutorials, learning by taking online courses, watching videos on YouTube, and making projects. As someone who's on...

Learning Math Through Code: Derivatives

Gain a deeper understanding of derivatives with PythonThe derivative approximation implemented in this text is generally known as the “forward difference quotient” and is one in all some ways to perform numerical differentiation. It’s...

Clean Code in PyTorch: Best Practices for Readable ML Final Thoughts The End

As a developer, I all the time attempt to make my code clear and clean (and bug-free!😉). I all the time attempt to consider the proven fact that my code have to be as...

Alternatives to the p-value Criterion for Statistical Significance (with R code)

Higher approaches to creating statistical decisionsNote that P10 and p2 are calculated under the idea that P(H0)=P(H1), which suggests that the researcher is impartial between H0 and H1 a priori. It is obvious from...

Text and code embeddings by contrastive pre-training

Text embeddings are useful features in lots of applications resembling semantic search and computing text similarity. Previous work typically trains models customized for various use cases, various in dataset selection, training objective and model...

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