Marktechpost

MARCH 7, 2024

Their topic outline states that GPT-4 generates 255k instructions and corresponding replies. The music knowledge section contains 269 questions, the music reasoning section has 98 questions, and are 5 questions set aside for a few-shot evaluation. Five hundred thousand of them are taken out.

LLM 128

LLM Metadata Large Language Models AI 128

PyImageSearch

FEBRUARY 5, 2024

Mathematically, this can be formulated as Precision = TP/TP+FP Recall can be defined as the fraction of samples where our model predicted label=0 out of all samples where the label_gt=0. Now that we have the confusion matrix, we can easily directly compute the recall and precision for all classes together ( Lines 97 and 98 ).

Computer Vision 60

Computer Vision Deep Learning Python Convolutional Neural Networks 60

PyImageSearch

OCTOBER 2, 2023

Simplicity and Universality: The Gaussian distribution is mathematically tractable and is a universal approximator. Mathematically, this can be represented as: Here, is sampled from a standard normal distribution, that is, The symbol stands for element-wise multiplication. Or has to involve complex mathematics and equations?

Computer Vision 120

Computer Vision Deep Learning Neural Network Auto-complete 120

PyImageSearch

MAY 29, 2023

We then add a BatchNormalization layer → LeakyReLU sequence ( Lines 98 and 99 ) and finally use a Conv2D layer as the last layer of our discriminator ( Line 102 ). Or has to involve complex mathematics and equations? My mission is to change education and how complex Artificial Intelligence topics are taught. That’s not the case.

Computer Vision 56

Computer Vision Deep Learning Artificial Intelligence Artificial Intelligence 56

Lexalytics

APRIL 5, 2021

And indeed we can see other machine learning topics arising to take their place, like “optimization” in the mid-’00s, with “deep learning” springing out of nowhere in 2012. This certainly contributed to the fading of mentions of “neural network” since the appearance of all these new topics could only serve to dilute its document frequency.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Sebastian Ruder

JANUARY 24, 2022

In mathematics, ML was shown to be able to guide the intuition of mathematicians in order to discover new connections and algorithms [77]. Transformer models have also been shown to be capable of learning mathematical properties of differential systems such as local stability when trained on sufficient amounts of data [78]. Buesing, L.,

NLP 52

NLP ML BERT Computational Linguistics 52