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Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0: Yes Apache Spark Scala Scala, Python No No Yes Yes Yes Yes Caffe: Berkeley Vision and Learning Center 2013 BSD: Yes Linux, macOS, Windows [3] C++: Python ...
Generative AI models are used to power chatbot products such as ChatGPT, programming tools such as GitHub Copilot, [83] text-to-image products such as Midjourney, and text-to-video products such as Runway Gen-2. [84] Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office ...
On the other hand, a problem is AI-Hard if and only if there is an AI-Complete problem that is polynomial time Turing-reducible to . This also gives as a consequence the existence of AI-Easy problems, that are solvable in polynomial time by a deterministic Turing machine with an oracle for some problem.
Low values should sharpen more because fewer areas are excluded. Higher threshold values exclude areas of lower contrast. Various recommendations exist for starting values of these parameters, [2] and the meaning may differ between implementations. Generally a radius of 0.5 to 2 pixels and an amount of 50–150% is recommended.
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image. Or more simply, when each pixel in the output image is a function of the nearby pixels (including itself) in the input image ...
Completely standard programs with serial output can be run and extended with graphical constructs. Lazarus LCL (for Pascal, Object Pascal and Delphi via Free Pascal compiler), a class library wrapping GTK+ 1.2–2.x, and the Windows API (Carbon, Windows CE and Qt4 support are all in development). fpGUI is created with the Free Pascal compiler ...
OpenAI also makes GPT-4 available to a select group of applicants through their GPT-4 API waitlist; [260] after being accepted, an additional fee of US$0.03 per 1000 tokens in the initial text provided to the model ("prompt"), and US$0.06 per 1000 tokens that the model generates ("completion"), is charged for access to the version of the model ...
ELNs can have fine-grained access controls, and can be more secure than their paper counterparts. [2] They also allow the direct incorporation of data from instruments, replacing the practice of printing out data to be stapled into a paper notebook. [3] This is a list of ELN software packages.
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