Allen AI

DECEMBER 31, 2023

It is not sufficient to build state-of-the-art models; 1) we need to build solutions that directly address specific technical problems, and 2) we need to deploy them. Foundation models for climate, weather, and geospatial data 2023 was the year of many “firsts” for environmental AI.

Computer Vision 94

Computer Vision AI AI Artificial Intelligence 94

Viso.ai

APRIL 25, 2024

Computer vision models enable the machine to extract, analyze, and recognize useful information from a set of images. Lightweight computer vision models allow the users to deploy them on mobile and edge devices. EdgeFace – Face Recognition Model for Edge Devices Researchers A.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Python 52

IBM Journey to AI blog

DECEMBER 20, 2023

It will also guide the procurement of the necessary hardware, software and cloud computing resources to ensure effective AI implementation. A model represents what was learned by a machine learning algorithm. Consider whether to deploy on your own infrastructure or on third-party platforms.

AI Strategy 201

AI Strategy Artificial Intelligence Artificial Intelligence AI 201

AWS Machine Learning Blog

FEBRUARY 13, 2024

In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%. Log model training metrics. Copy the final model to an S3 bucket.

Computer Vision 103

Computer Vision Convolutional Neural Networks AI AI 103

IBM Journey to AI blog

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Computer Vision 224

Computer Vision Automation Robotics AI 224

AWS Machine Learning Blog

OCTOBER 26, 2023

Inferentia has enabled us to run our You Only Look Once (YOLO) computer vision models five times faster than our previous solution and supports seamless, real-time shopping experiences for our customers. With our cutting-edge technology, retailers can quickly and efficiently deploy thousands of A-POPs.

ML 102

ML Computer Vision Machine Learning AI 102

Viso.ai

DECEMBER 20, 2023

In the field of computer vision, supervised learning and unsupervised learning are two of the most important concepts. In this guide, we will explore the differences and when to use supervised or unsupervised learning for computer vision tasks. The model is then able to predict outcomes with new, unlabeled test data.

Computer Vision 98

Computer Vision Neural Network Machine Learning Algorithm 98

Towards AI

OCTOBER 24, 2023

What happened this week in AI by Louie This week in AI, we were particularly interested in seeing two new agent models released. As mentioned by one of the authors in a blog post, this library utilizes generative AI and reinforcement learning to solve complex tasks.

Large Language Models 112

Large Language Models Robotics AI AI 112

The MLOps Blog

APRIL 20, 2023

With over 3 years of experience in designing, building, and deploying computer vision (CV) models , I’ve realized people don’t focus enough on crucial aspects of building and deploying such complex systems.

Computer Vision 64

Computer Vision Auto-classification Neural Network Convolutional Neural Networks 64

NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations. Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

AI 136

AI AI AI Modeling Algorithm 136

IBM Journey to AI blog

APRIL 18, 2024

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

Neural Network 242

Neural Network LLM AI AI 242

IBM Journey to AI blog

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Metadata 196

Metadata Explainability Automation AI 196

IBM Journey to AI blog

FEBRUARY 5, 2024

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations. a migration will be.

Automation 176

Automation 176

Marktechpost

DECEMBER 13, 2023

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. These models have shown to be remarkably capable and have showcased the capabilities of Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, etc.

Large Language Models 130

Large Language Models LLM Natural Language Processing Computer Vision 130

AWS Machine Learning Blog

FEBRUARY 16, 2024

Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. In this post, we walk through how to discover and deploy the Code Llama model via SageMaker JumpStart.

Python 112

Python Computer Vision Machine Learning Artificial Intelligence 112

NVIDIA

SEPTEMBER 11, 2023

Grace Hopper Superchips and H100 GPUs led across all MLPerf’s data center tests, including inference for computer vision, speech recognition and medical imaging, in addition to the more demanding use cases of recommendation systems and the large language models ( LLMs ) used in generative AI.

Computer Vision 127

Computer Vision LLM BERT Large Language Models 127

IBM Journey to AI blog

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. The term data science was first used in the 1960s when it was interchangeable with the phrase “computer science.” That’s where data science comes in.

Data Science 151

Data Science Machine Learning Big Data Data Mining 151

Becoming Human

MAY 10, 2024

Generative models have redefined what’s possible in computer vision, enabling innovations once only imaginable in science fiction. One breakthrough tool is the Segment Anything Model (SAM), which has dramatically simplified isolating subjects in images.

Computer Vision 52

Computer Vision Neural Network AI AI 52

IBM Journey to AI blog

MAY 6, 2024

Enter the age of data-driven protocol assessment: using benchmarking tools and predictive modeling to gauge protocol intricacies and forecast eligible patient numbers, which then inform protocol adjustments. The latest developments in large language models (LLMs) have the potential to significantly expedite protocol design processes.

Convolutional Neural Networks 144

Convolutional Neural Networks Neural Network AI AI 144

Heartbeat

MARCH 5, 2024

Image by istockphoto Computer vision has become a ground-breaking area in artificial intelligence and machine learning with revolutionary applications. Computer vision has changed how we see and interact with the world, from autonomous vehicles navigating complex metropolitan landscapes to medical imaging identifying diseases.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Machine Learning 52

AWS Machine Learning Blog

MAY 9, 2024

As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026. These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices.

ML 100

ML Generative AI AI AI 100

AWS Machine Learning Blog

DECEMBER 1, 2023

This updated user experience (UX) provides data scientists, data engineers, and ML engineers more choice on where to build and train their ML models within SageMaker Studio. As they can do today with JupyterLab and RStudio on SageMaker, users can switch the Code Editor compute on the fly based on their needs.

ML 99

ML Machine Learning DevOps Computer Vision 99

AWS Machine Learning Blog

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee.

Large Language Models 103

Large Language Models NLP Machine Learning Artificial Intelligence 103

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker makes it straightforward to deploy machine learning (ML) models for real-time inference and offers a broad selection of ML instances spanning CPUs and accelerators such as AWS Inferentia. We talk about its benefits over the default routing mechanism and how you can enable LOR for your model deployments.

Machine Learning 91

Machine Learning Software Development ML Computer Vision 91

AWS Machine Learning Blog

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. AWS is especially well suited to provide enterprises the tools necessary for deploying LLMs at scale to enable critical decision-making.

LLM 99

LLM AI AI Generative AI 99

Mlearning.ai

MARCH 1, 2023

Unlock the Power of Real-time Processing with Edge computing in Machine Learning — Use Cases, Benefits and Beyond Edge computing is a distributed computing approach that brings computation and data storage to the forefront , rather than relying on a centralized data centre.

Machine Learning 52

Machine Learning Computer Vision Robotics Automation 52

NVIDIA

MARCH 18, 2024

It is NVIDIA’s pre-quantum computer, driving transformational operational efficiencies for deliveries, service calls, warehouses and factories, and supply chains,” he said. Kawasaki is harnessing the edge computing of NVIDIA Jetson AGX Orin to develop track inspections on its Track Maintenance Platform for running onboard trains.

Robotics 95

Robotics Automation Machine Learning AI 95

AWS Machine Learning Blog

NOVEMBER 22, 2023

Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. They can also be used to develop and validate performance and accuracy of DL workloads that will be deployed on Qualcomm devices.

BERT 105

BERT Deep Learning Python Auto-classification 105

Towards AI

JANUARY 30, 2024

The 12 groups are as follows — Types of Models Common LLM Terms LLM Lifecycle Stages LLM Evaluations LLM Architecture Retrieval Augmented Generation (RAG) LLM Agents LMM Architecture Cost & Efficiency LLM Security Deployment & Inference A list of providers supporting LLMOps Like the generative AI space, this taxonomy is also evolving.

Generative AI 86

Generative AI LLM Prompt Engineer Prompt Engineering 86

Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

Large Language Models 110

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 110

AWS Machine Learning Blog

FEBRUARY 7, 2024

In the second post , we discussed an approach to develop a deep learning-based computer vision model to detect and highlight forged images in mortgage underwriting. In this post, we present a solution to automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector.

Automation 110

Automation ML Computer Vision Deep Learning 110

Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Beyond efficiency, there are a number of other challenges around factuality, security, privacy and freshness in these models.

Deep Learning 118

Deep Learning Algorithm Neural Network ML 118

AWS Machine Learning Blog

APRIL 11, 2024

AWS was the first Cloud Service Provider (CSP) to offer NVIDIA GPUs in the public cloud, and remains among the first to deploy NVIDIA’s latest technologies. NVIDIA’s next-generation Grace Blackwell processor marks a significant step forward in generative AI and GPU computing.

Generative AI 101

Generative AI Robotics Large Language Models AI 101

Google Research AI blog

APRIL 19, 2023

TASC thus leverages the strengths of an interdisciplinary team, with backgrounds ranging from computer science to social science, digital media and urban science. Our work advances Responsible AI (RAI) in areas such as computer vision , natural language processing , health , and general purpose ML models and applications.

Responsible AI 120

Responsible AI Computer Vision AI AI 120

Towards AI

FEBRUARY 21, 2023

We test it on a practical problem in a modality of AI in which it was not trained, computer vision, and report the results. AI being in the limelight has spawned a deluge of thought pieces, articles, videos, blog posts, and podcasts. The average over ChatGPT metric suggestions, achieves on average 10.1%

ML Engineer 95

ML Engineer ML ChatGPT Computer Vision 95

AWS Machine Learning Blog

APRIL 7, 2023

As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models closer to their end-customers to reduce latency and increase responsiveness of their applications. As our sample workload, we deploy a pre-trained model from Amazon SageMaker JumpStart.

BERT 80

BERT Metadata Natural Language Processing ML 80

Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

Computer Vision 52

Computer Vision Deep Learning Neural Network Algorithm 52