Heartbeat

AUGUST 21, 2023

The most common pooling operation is max pooling, which takes the maximum value within a region of the feature map. AlexNet was created to categorize photos in the ImageNet dataset, which contains approximately 1 million images divided into 1,000 categories. It has eight layers, five of which are convolutional and three fully linked.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Computer Vision 52

Unite.AI

JANUARY 13, 2024

It could also accurately detect over 9000 object categories, even with limited specific detection data. Take Adam, which contributes to better accuracy, faster convergence, and overall better model performance.

Computer Vision 259

Computer Vision Python Explainability AI 259

Mlearning.ai

OCTOBER 2, 2023

The two main categories of feature selection are supervised and unsupervised machine learning techniques. It’s like taking apart a puzzle and then discovering how the smaller pieces fit together to make up that whole picture. Choosing the right feature selection method is like choosing the right weapon in a video game.

Machine Learning 98

Machine Learning Explainability Auto-complete Algorithm 98

Unite.AI

OCTOBER 17, 2023

In this article, we will be taking a deeper dive into the working of the AudioSep framework as we will evaluate the architecture of the model, the datasets used for training & evaluation, and the essential concepts involved in the working of the AudioSep model.

Categorization 278

Categorization Artificial Intelligence Artificial Intelligence 278

Heartbeat

AUGUST 22, 2023

Introduction Text classification is the process of automatically assigning a set of predefined categories or labels to a piece of text. This involves feeding the model a large amount of text data that has been manually labeled with the correct category or label. We have an accuracy of 92% at the 5th epoch, which is great for our model.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Robot Writers AI

MARCH 31, 2024

That remarkable candor pretty much set the tone for Q1 2024, during which writers saw automation picking-off good paying writing jobs faster than they could say ‘Take me to your AI overlord.’ Altman’s prediction can be found in a new book — offered by subscription — “Our AI Journey,” by Adam Brotman and Andy Sack.

Auto-complete 52

Auto-complete Robotics ChatGPT AI 52

Heartbeat

JANUARY 25, 2023

EDA and Data Cleaning First, you will check the frequency of the target variable: Category. check the distribution of values reddit['category'].value_counts() Encoded the target column lb=LabelEncoder() data_v1['category'] = lb.fit_transform(data_v1['category']) data_v1.head()

Python 52

Python Auto-classification Deep Learning Machine Learning 52

Flipboard

FEBRUARY 2, 2023

According to Taboola CEO and founder Adam Singolda, ChatGPT will generate content based on what people are most likely to engage with, which marketers can then select to use in ads across various websites. Not every company testing it thinks it’ll take over all parts of marketing.

ChatGPT 140

ChatGPT OpenAI Chatbots Large Language Models 140

AI Impacts

DECEMBER 22, 2022

Some people: hmm, that would involve coordinating numerous people—we may be arrogant enough to think that we might build a god-machine that can take over the world and remake it as a paradise, but we aren't delusional This seems like an error to me. And lately , to a bunch of other people.)

AI 130

AI AI AI Researcher AI Research 130

NYU Center for Data Science

NOVEMBER 15, 2023

We’re excited to announce that many CDS faculty, researchers, and students will present at the upcoming thirty-seventh 2023 NeurIPS (Neural Information Processing Systems) Conference , taking place Sunday, December 10 through Saturday, December 16. The conference will take place in-person at the New Orleans Ernest N.

Data Science 83

Data Science Neural Network Large Language Models Deep Learning 83

Snorkel AI

FEBRUARY 21, 2024

Computing this update matrix is what takes the bulk of time and GPU resources in finetuning. In double-blind study, human testers preferred our researchers’ version of the model in every category. Ideally, use Adam or AdamW as your optimizer. Our researchers fine-tuned a separate version using their curated 10,000 examples.

Data Scientist 52

Data Scientist LLM Large Language Models Machine Learning 52

Snorkel AI

FEBRUARY 21, 2024

Computing this update matrix is what takes the bulk of time and GPU resources in finetuning. In double-blind study, human testers preferred our researchers’ version of the model in every category. Ideally, use Adam or AdamW as your optimizer. Our researchers fine-tuned a separate version using their curated 10,000 examples.

Data Scientist 52

Data Scientist LLM Large Language Models Machine Learning 52

O'Reilly Media

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. Versioning. Model Operations.

DevOps 138

DevOps Software Engineer Data Scientist ML 138

PyImageSearch

OCTOBER 2, 2023

Here, the method takes two arguments: z_mean and z_log_var , which represent the mean and log variance of the latent variable’s distribution, respectively. It takes two parameters: image_size , representing the size of the input images, and embedding_dim , representing the dimensionality of the latent space.

Computer Vision 120

Computer Vision Deep Learning Neural Network Auto-complete 120

Flipboard

MARCH 6, 2023

It’s going to take away our jobs. Friedman was one of many speakers that day who were adamant that recent advancements in AI are revolutionary, even if they weren’t perfect yet. “I I would put those risks in three categories: making factual errors, promoting offensive content, and taking over human beings’ livelihood or autonomy.

Generative AI 123

Generative AI OpenAI AI AI 123

PyImageSearch

NOVEMBER 6, 2023

From there, take a look at the directory structure: $ tree -L 2. ├── output │ ├── infer_test_images_post_training │ ├── model_weights │ ├── unet-train-val-dice-plot.png │ └── unet-train-val-loss-plot.png ├── pyimagesearch │ ├── __init__.py These unique values represent the different classes/categories in the segmentation masks.

Computer Vision 67

Computer Vision Neural Network Deep Learning Categorization 67

Google Research AI blog

MAY 10, 2023

Together, we won the award for highest accuracy in the nanopore category, with a single nucleotide variants (SNVs) accuracy that matched short-read sequencing. DeepConsensus takes as input the repeated sequence of the DNA molecule, measured from fluorescent light detected by the addition of each base.

Convolutional Neural Networks 124

Convolutional Neural Networks Neural Network Deep Learning 124

PyImageSearch

MARCH 13, 2023

However, background pixels such as sky and road are often disregarded as object categories in instance segmentation tasks. Note: Downloading the dataset takes 1.2 To find the mapping between the semantic categories for instance_segmentation and semantic_segmentation and the ADE20K dataset, we need to refer to Mapping.txt.

Computer Vision 117

Computer Vision Deep Learning Neural Network Metadata 117

Google Research AI blog

JANUARY 18, 2023

By training on many different examples of particular categories of objects (e.g., lots of single images of different cats), we can learn enough about the expected 3-D structure of objects to create a 3-D model from just a single image of a novel category (e.g., just a single image of your cat, as shown in the LOLCats clips below).

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

AWS Machine Learning Blog

SEPTEMBER 6, 2023

However, due to the large size of the model, this step can take a long time. For example, compressing and uploading the 70B model can take more than 4 hours. Write a response that appropriately completes the request.nn### Instruction:nWho is the next coach at Fc Bayern München to take over from Julian Nagelsmann?nn###

Auto-complete 99

Auto-complete Machine Learning ML Python 99

Defined.ai blog

AUGUST 29, 2022

Nevertheless, the article takes a stab at it. Bush or Barack Obama, even though they may fall into the same Fitzpatrick categories. In the industry, we typically assume that the main consumer groups (25 – 40 give or take, depending on the application) of virtual assistants and similar products are well represented.

Metadata 52

Metadata Explainability ML AI 52

The Stanford AI Lab Blog

MARCH 28, 2022

Following this line of work, we focus on a specific category of games – those developed by students as part of a programming assignment. These types of behavioral anomalies motivate the use of a predictive model that can take in the current game state and determine whether it is anomalous or not.

Algorithm 52

Algorithm Auto-classification Automation Auto-complete 52

PyImageSearch

JULY 17, 2023

The make_grid function takes a 4D mini-batch Tensor of shape (B x C x H x W) and makes a grid of images. The purpose of the encoder is to take an input image and transform it into a lower-dimensional embedding or “code” that represents the essential features of the image. nrow is the number of images per row.

Computer Vision 98

Computer Vision Deep Learning Python Machine Learning 98

Cold Takes

JANUARY 13, 2023

Backdrop This piece takes a lot of previous writing I’ve done as backdrop. This piece takes an approach I call nearcasting : trying to answer key strategic questions about transformative AI, under the assumption that such AI arrives in a world that is otherwise relatively similar to today's.

AI 59

AI AI Robotics AI Developer 59

The MLOps Blog

MAY 10, 2023

Saving and storing your model the right way takes care of this. The model registry is a category of tools that solve this issue for you. 3 Compared to alternative formats, JSON offers less flexibility and may take more effort to tailor the serialization procedure. Now let’s see how we can save our model.

Python 105

Python Metadata ML Deep Learning 105