Unite.AI

JANUARY 26, 2024

Upon talking to our mentors and founder friends, we not only validated the problem but also got investment offers from everyone we talked to, within 48 hours of even thinking about solving the problem of writing ui code from scratch with AI-led automation.

Machine Learning 130

Machine Learning Automation Continuous Learning AI 130

Chatbots Life

APRIL 19, 2024

billion hours of work. 48% prioritize bots’ issue-solving abilities over their personalities. Approximately 64% of internet users consider 24-hour service a key feature of bots. In fact, 29% of bot interactions occurred outside regular store hours. million as of 2023. 75% of queries would be resolved by chatbots in 2023.

Chatbots 98

Chatbots Automation AI Chatbots Natural Language Processing 98

Dlabs.ai

JANUARY 26, 2021

Still, according to Drift’s 2020 State of Conversational Marketing , one-third of clients remain frustrated by many brands’ failure to respond to questions in good time — let alone their flat-out refusal to offer ‘out-of-hours’ support. They can offer on-call support at every hour of the day.

Chatbots 52

Chatbots NLP Natural Language Processing Automation 52

Unite.AI

NOVEMBER 17, 2023

You can even create your custom avatar and clone your voice in as little as 48 hours for a more personalized video experience! To make things even easier, Colossyan Creator offers dozens of video templates, which can be customized with your text, images, and videos for professional-looking videos in minutes.

AI 274

AI AI Natural Language Processing Auto-complete 274

NVIDIA

NOVEMBER 3, 2023

Multichannel digital platforms have made in-store and online shopping more convenient: up to 48% of consumers save a card on file with a merchant, significantly boosting card-not-present transactions. FinSec Innovation Lab , a joint venture by Mastercard and Enel X, is using AI to help its customers defend against ransomware.

AI 124

AI AI Machine Learning Automation 124

PyImageSearch

MARCH 20, 2023

We also define the number of rows in our plot, which is equal to the batch size of our test loader ( Line 48 ). JarvisLabs provides the best-in-class GPUs, and PyImageSearch University students get between 10-50 hours on a world-class GPU (time depends on the specific GPU you select). Finally, we prepare to save our inference images.

Computer Vision 117

Computer Vision Deep Learning Neural Network Python 117

AWS Machine Learning Blog

JUNE 5, 2023

A max runtime of 48 hours will be used by default. Such reserved resources will not increase during the course of the tuning job; this will maintain an upper bound of cost and duration of the tuning job that is easily predictable by the user. You can override any settings chosen automatically by Autotune.

Neural Network 76

Neural Network Machine Learning ML Python 76

NVIDIA

NOVEMBER 3, 2023

Multichannel digital platforms have made in-store and online shopping more convenient: up to 48% of consumers save a card on file with a merchant, significantly boosting card-not-present transactions. FinSec Innovation Lab , a joint venture by Mastercard and Enel X, is using AI to help its customers defend against ransomware.

AI 65

AI AI Machine Learning Automation 65

Dlabs.ai

APRIL 29, 2021

Will this general ward patient deteriorate further and need admission to ICU in the next 48 hours? And that fact alone is helping practitioners answer questions like: What are the chances this Cancer patient will recover if s/he is subjected to stem cell transplant or hormone therapy?

Algorithm 52

Algorithm Machine Learning Data Mining Artificial Intelligence 52

AWS Machine Learning Blog

AUGUST 16, 2023

tif" The dataset is approximately 48 GB in size and has the following structure: bigearthnet-s2-dataset/ Amazon S3 bucket ├── metadata/ │ └── final_ben_s2.parquet In total, training takes about 11 hours. parquet s3://bigearthnet-s2-dataset/metadata/ aws s3 cp BigEarthNet-v1.0/ tif" --include "_B03.tif" tif" --include "_B04.tif"

Metadata 71

Metadata Data Scientist Generative AI Natural Language Processing 71

AWS Machine Learning Blog

NOVEMBER 16, 2023

Whisper is an Automatic Speech Recognition (ASR) model that has been trained using 680,000 hours of supervised data from the web, encompassing a range of languages and tasks. More specifically, our experiment demonstrated that the full fine-tuning task requires 24 times more GPU hours compared to the LoRA approach.

Software Engineer 86

Software Engineer ML Machine Learning Data Science 86

AWS Machine Learning Blog

APRIL 5, 2024

A grid system is established with a 48-meter grid size using Mapbox’s Supermercado Python library at zoom level 19, enabling precise spatial analysis. With SageMaker, Gramener achieved substantial time savings in UHI analysis, reducing processing time from weeks to hours.

ML 107

ML Data Scientist Python Machine Learning 107

AssemblyAI

NOVEMBER 9, 2023

Say, for example, you wanted to summarize the 2021 State of the Union Address –an hour and 43-minute long video. 47:59: No one working 40 hours a week should live below the poverty line. 48:22: American jobs finally be the biggest increase in non defense research and development. 67:34: He said the U.S.

NLP 256

NLP AI Modeling AI AI 256

NVIDIA

AUGUST 28, 2023

trillion rows of information — in just five hours. It was a ‘wow’ moment because on CPU clusters, it takes more than 48 hours to process just seven days of data — in the past, we had the data but couldn’t use it because it took such a long time to process it,” said Abhay Dabholkar, an AI architect at AT&T, in a blog.

AI Architect 91

AI Architect Data Science Machine Learning Data Platform 91

AWS Machine Learning Blog

JULY 24, 2023

xlarge 1 4 4 8 Inf1.2xlarge 1 4 8 16 Inf1.6xlarge 4 16 24 48 Inf1.24xlarge 16 64 96 192 Instance Size # Inferentia Accelerators # NeuronCores-v2 vCPUs Memory (GiB) Inf2.xlarge The host vCPUs and the system memory are shared across all available NeuronCores. Instance Size # Inferentia Accelerators # NeuronCores-v1 vCPUs Memory (GiB) Inf1.xlarge

BERT 72

BERT Deep Learning Python Machine Learning 72

PyImageSearch

APRIL 3, 2023

On Lines 48 and 49 , we check if the Boolean value is false, which would indicate that the frame was not read correctly. JarvisLabs provides the best-in-class GPUs, and PyImageSearch University students get between 10-50 hours on a world-class GPU (time depends on the specific GPU you select). What's next?

Neural Network 64

Neural Network Computer Vision Deep Learning AI 64

Google Research AI blog

MARCH 9, 2023

Posted by Tom Denton, Software Engineer, Google Research, Brain Team Worldwide bird populations are declining at an alarming rate, with approximately 48% of existing bird species known or suspected to be experiencing population declines. For instance, the U.S. and Canada have reported 29% fewer birds since 1970.

ML 79

ML Software Engineer Machine Learning Algorithm 79

IBM Journey to AI blog

JUNE 27, 2023

TB NVMe storage devices 48 physical cores (96 vCPUs) from Intel Xeon 8260 processors 192 – 1536 GB of memory The number and configuration of the compute nodes is up to the user with virtual instance profiles: From 2 to 176 vCPUs From 2 GB to 2.5 For this post, we will be using bare metal instances that offer the following: 8 3.2

Automation 190

Automation 190

AWS Machine Learning Blog

MAY 1, 2024

Wait 2–5 hours for SageMaker to finish fine-tuning your models. This test endpoint will only stay up for 2 hours to avoid unintended costs. Assistant: The A100 has 48 GB of DRAM. Complete the following steps: On the Fine-tune tab, on the Select base models menu¸ select Titan Express. For Select input column , choose question.

Algorithm 104

Algorithm LLM Software Engineer Large Language Models 104

AssemblyAI

SEPTEMBER 14, 2023

Zoom's help pages cautiously warn users that it could take 24-48 hours for it to be ready, but that was likely the reality in early 2020 when the whole world flocked onto Zoom before their systems were ready for that level of traffic.

Metadata 147

Metadata Python Chatbots 147

Kavita Ganesan

MAY 24, 2022

So if you put an AI system there, it can do that very efficiently, 24 hours a day, and maybe even more accurately than your human agent. Kavita Ganesan 19:48 Yes. So let’s say, right now, your customer service agent is manually routing tickets to the appropriate teams to get things resolved. David Gee 19:47 Right.

AI 52

AI AI Neural Network Natural Language Processing 52

AWS Machine Learning Blog

JANUARY 29, 2024

24xlarge 49 85 178 353 654 1079 1544 2312 2905 2944 21 23 22 23 26 31 44 58 92 165 Number of total tokens: 4096, Number of output tokens: 256 ml.g5.2xlarge 20 36 48 49 — — — — — — 48 57 104 170 — — — — — — ml.g5.12xlarge 33 58 90 123 142 — — — — — 31 34 48 73 132 — — — — — ml.g5.48xlarge 31 48 66 82 — — — — — — 31 43 68 120 — — — — — — ml.p4d.24xlarge

LLM 99

LLM Machine Learning ML Algorithm 99

AWS Machine Learning Blog

JANUARY 13, 2023

We defined it as a binary classification task, where each data sample spans a 1-hour window. To create a cohort for this task, we selected patients with a hospital discharge status in the patient’s record and a length of stay of at least 48 hours, because we focus on prediction mortality during the first 24 and 48 hours.

Machine Learning 70

Machine Learning ML Categorization Deep Learning 70

Cold Takes

JUNE 30, 2022

Reports that Open Philanthropy employees spent thousands of hours on, systematically presenting evidence and considering arguments and counterarguments. In this case, I think Asimov tends to make nonobvious, detailed predictions, such that I consider it impressive to have gotten ~half of them to be right.

AI 52

AI AI Robotics AI Researcher 52

ODSC - Open Data Science

MARCH 1, 2024

Upskill and save 50% — 48 Hour Flash Sale! Toronto-based Ideogram an artificial intelligence startup that provides generative text-to-image technology, raised over $95M in the Series A round Israel-based Exodigo , an AI-based platform that offers non-intrusive subsurface image mapping solutions, raised over $110M in Series A.

Large Language Models 98

Large Language Models Artificial Intelligence Artificial Intelligence Neural Network 98

AWS Machine Learning Blog

JUNE 7, 2023

As a result, we achieved pre-training (phase 1) model convergence within 16 hours (our target was to train a large model within a day) for the BERT 1.5-billion-parameter model reference repository , which introduces a 48-layer, 1600-hidden dimension, and 25-head bi-directional encoder model, derived from a BERT implementation.

Large Language Models 67

Large Language Models BERT Deep Learning Neural Network 67

Heartbeat

AUGUST 8, 2023

Photo by Denys Nevozhai on Unsplash Have you ever been helplessly trapped among a sea of horn-blaring vehicles, unable to move for hours, and ended up late to work or losing business? Finally, we convert the input/output sequences to NumPy arrays using list comprehension.

Python 52

Python Neural Network Deep Learning Machine Learning 52

PyImageSearch

JANUARY 8, 2024

The visualize function ( Lines 30-48 ) takes as input the image list (i.e., Finally, we save our visualization using the savefig function at the SAVE_PATH location ( Line 48 ). Finally, we print the value of the loss for the input image and the predictions ( Lines 27 and 28 ). What's next? We recommend PyImageSearch University.

Computer Vision 64

Computer Vision Neural Network Deep Learning Artificial Intelligence 64

PyImageSearch

JUNE 5, 2023

Next, we pass the real targetImage , which belongs to Domain Y through the discriminatorY to get discRealOutputY ( Line 48 ). Now that we have imported the important modules, we start with the definition of our get_train_monitor() function ( Lines 8-48 ), which implements the TrainMonitor() class. imshow(array_to_img(inp)) ax[0].set_title("Input

Computer Vision 56

Computer Vision Auto-complete Deep Learning Explainability 56

ODSC - Open Data Science

FEBRUARY 29, 2024

ODSC East 48 Hour Flash Sale! Industry, Opinion, Career Advice Predicting the Future of AI Investment in 2024 and Beyond Let’s dive into the AI investment landscape, highlighting key trends, challenges, and opportunities for investors.

Python 52

Python Large Language Models Data Science OpenAI 52

Robot Writers AI

APRIL 2, 2023

Observes Wiggers of the software underlying ChatGPT: “With a bigger ‘memory,’ GPT-4 should be able to converse relatively coherently for hours — several days, even — as opposed to minutes.” The magic keeps coming.

Auto-complete 52

Auto-complete ChatGPT AI AI 52

Mlearning.ai

MAY 23, 2023

What is the percentage chance of you seeing at least one star shooting from the sky if you are under it for about an hour? The probability that we may not see any shooting star for an hour is: = (1-Prob)(1-Prob)(1-Prob)*(1-Prob) = 0.8 * 0.8 * 0.8 * 0.8 = (0.8)⁴ ≈ 0.40 So, Prob = 0.2 So, Prob = 0.2 What is deep learning?

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

PyImageSearch

JANUARY 15, 2024

Course information: 83 total classes • 113+ hours of on-demand code walkthrough videos • Last updated: December 2023 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. a model with the least validation loss) will be restored.

Computer Vision 64

Computer Vision Neural Network Deep Learning Artificial Intelligence 64

PyImageSearch

JANUARY 23, 2023

The XGBoost regressor is defined on Lines 44-48. Course information: 64 total classes • 68 hours of on-demand code walkthrough videos • Last updated: January 2023 ★★★★★ 4.84 (128 Ratings) • 15,800+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. What's next?

Computer Vision 107

Computer Vision Deep Learning Neural Network Algorithm 107

PyImageSearch

FEBRUARY 5, 2024

Assembling the Test Dataset for Model Accuracy Assessment On Lines 44-48 , we use the tf.keras.utils.image_dataset_from_directory function to create our test dataset. On Lines 40 and 41 , we define the path to our face database (i.e., faceDatabasePath ) and get the image’s dimensions, respectively. What's next?

Computer Vision 60

Computer Vision Deep Learning Python Convolutional Neural Networks 60

PyImageSearch

DECEMBER 19, 2022

Finally, now that most of the heavy lifting is done, on Line 48 , an infinite while loop is defined, which keeps running until the q key is pressed ( Line 56 ). JarvisLabs provides the best-in-class GPUs, and PyImageSearch University students get between 10-50 hours on a world-class GPU (time depends on the specific GPU you select).

Neural Network 52

Neural Network Computer Vision Deep Learning Metadata 52

Flipboard

MARCH 23, 2023

Facebook/Meta’s LLaMA, which is smaller than GPT-3 and GPT-4, is thought to have taken roughly one million GPU hours to train, which would cost roughly $2 million on AWS. It was less than 48 hours before someone figured out a prompt that would get around GPT-4’s content filters.

ChatGPT 133

ChatGPT Large Language Models OpenAI Explainability 133