What Is Flask? More specifically,Flaskis a "microweb framework." It's a lot smaller than your average boilerplate-filled tool. It requires no outside libraries or components and is built entirely on vanilla Pyt
In our blog we look at Python's __name__ variable. Is it just Python's cumbersome way of doing main()? We show how the simplicity of __name__ is valuable, particularly when in a module running an expensive, extensive calculation.
”“Teens,” and “Adults”) on one side and ice cream flavors (like “Chocolate,”“Vanilla,” and “Strawberry”) on the other. In each cell, we count how many people fall into both the age group and flavor categories.
but you should really never do this for a real site—vanilla Bootstrap is instantly recognisable, and a big signal to anyone in the know that you couldn’t be bothered to style your site. Learn how to use Sass and change the font, if nothing else!
What is gradient descent? Gradient descent is an optimization algorithm often used to train machine learning models by locating the minimum values within a cost function. Through this process, gradient descent minimizes the cost function and reduces the margin between predicted and actual results, impr...
The homepage is a vanilla flavoured list which curates mostly technology and mathematics related content. One can find here quotes, comments, articles, videos and opinions.
Despite achieving nearly perfect performance on the vanilla needle-in-a-haystack (NIAH) test, most models exhibit large degradation on tasks in RULER as sequence length increases. While all models claim context size of 32k tokens or greater, only half of them can effectively handle sequence length...
This is called astaticchain because the structure of the chain is based on lexical scoping, not dynamic scoping. You can see the difference in this example: function Outer(n: integer) : integer; var i: integer; procedure Update(j: integer); ...
autonomous testing tools have to be generic where it is expected from the tool to change its testing method according to the project. This is a complex and difficult task to achieve. Even if the team gets vanilla algorithms, training them with respect to each project is cumbersome and time-...
RVQ breaks down the quantization process across multiple layers, each handling the residual error from the preceding one. This allows the system to be scaled to operate on different bitrates (by scaling the number of layers). This layered approach continues, with each stage focusing on the resi...