Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

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Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Guidance works with most open-source LMs that can be hosted locally. Fundamentally different from conventional prompting techniques, Guidance enforces constraints by steering the model token by token ...

Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...

In any Tkinter program, the first thing you need is a window. This window will act as a container for your app. This line brings the Tkinter library into your program. We give it the nickname tk so we ...

Python is a powerful programming language that is easy to learn and easy to work with, but it is not always the fastest to run—especially when you’re dealing with math or statistics. Third-party ...

The OpenAPI specification, and the Swagger suite of tools built around it, make it incredibly easy for Python developers to create, document and manually test the RESTful APIs they create. Regardless ...