IBM Journey to AI blog

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan and Spotify.

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AI Tools Deep Learning Computer Vision AI 182

IBM Journey to AI blog

JANUARY 29, 2024

Disaster recovery plan (DRP): More detailed in nature than BCPs, disaster recovery plans consist of contingency plans for how enterprises will specifically protect their IT systems and critical data during an interruption. Reduced penalties: Data breaches can result in large penalties when private customer information is leaked.

Categorization 241

Categorization 241

Snorkel AI

APRIL 11, 2024

Combining our programmatic data development platform, Snorkel Flow, with hands-on support from our team of AI experts, Snorkel Custom engagements start with co-development of custom, use-case specific evaluation benchmarks, and end with a production quality LLM tuned on your unique data, and optimized for your unique use case.

LLM 80

LLM Chatbots AI Developer AI Development 80

Snorkel AI

JUNE 12, 2023

They trained it on 100x the amount of data. Better data almost always has a greater impact than fancier models or algorithms in AI—and yet, data development has always been undersupported by AI formalisms and technology. In practice, data-centric operations have become one of the largest blockers to AI value realization.

Data Platform 145

Data Platform Large Language Models Software Development ChatGPT 145

Towards AI

JULY 20, 2023

Level Up: Mastering statistics with Python – part 3 – Stack Overflow Blog Welcome back! machinelearningmastery.com Top Data Labeling Software In-depth analysis of 10 data labeling tools for machine learning datasets. Data Labeling Software: Best Tools for Data Labeling in 2021 – neptune.ai

NLP 92

NLP Neural Network Natural Language Processing Machine Learning 92

Snorkel AI

JUNE 12, 2023

They trained it on 100x the amount of data. Better data almost always has a greater impact than fancier models or algorithms in AI—and yet, data development has always been undersupported by AI formalisms and technology. In practice, data-centric operations have become one of the largest blockers to AI value realization.

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141

IBM Journey to AI blog

AUGUST 16, 2023

These include security and data leakage, confidentiality and liability concerns, intellectual property complexities, compliance with open-source licenses, limitations on AI development, and uncertain privacy and compliance with international laws. which underscores the importance of data privacy and ownership in the enterprise.

ChatGPT 148

ChatGPT Chatbots Natural Language Processing AI Chatbots 148

Flipboard

SEPTEMBER 12, 2023

Satlas’ AI modeling software improves satellite image resolution by a factor of four. The Allen Institute for AI, also known as AI2, recently rolled out Satlas , a new software platform for exploring global geospatial data generated from satellite imagery. Training the model was no easy task.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence Deep Learning Data Analysis 128

AWS Machine Learning Blog

OCTOBER 18, 2023

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. It uses Rekognition Custom Labels to predict the pet breed.

Auto-complete 97

Auto-complete Auto-classification Automation ML 97

IBM Journey to AI blog

JUNE 23, 2023

It used to be that insurance companies used a combination of automated workflow, a business rules engine and content management software. The supervised learning that is used to train AI requires a lot of human effort, is difficult, requires intensive labeling and takes months of effort. as required for a “Gig Economy”).

Automation 156

Automation Neural Network Large Language Models Generative AI 156

NVIDIA

MARCH 1, 2024

Privacy: Complying With Regulations, Safeguarding Data AI is often described as data hungry. Often, the more data an algorithm is trained on, the more accurate its predictions. But data has to come from somewhere. Safety guardrails set limits on the language and data sources the apps use in their responses.

AI 136

AI AI AI Modeling Algorithm 136

AWS Machine Learning Blog

OCTOBER 2, 2023

It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. In this post, we delve deep into how the labeling and model building and training parts of the pipeline are implemented. Labeling jobs are used to manage labeling workflows.

Automation 95

Automation DevOps Machine Learning Metadata 95

Topbots

OCTOBER 4, 2023

Both types of AI use machine learning to learn from data, but they do so in different ways and have different goals. Predictive AI is used to predict future events or outcomes based on historical data. It does this by identifying patterns in historical data and then using those patterns to forecast future trends.

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

IBM Journey to AI blog

SEPTEMBER 28, 2023

An AI and data platform, such as watsonx, can help empower businesses to leverage foundation models and accelerate the pace of generative AI adoption across their organization. Business-targeted, IBM-developed foundation models built from sound data Business leaders charged with adopting generative AI need model flexibility and choice.

Generative AI 238

Generative AI Large Language Models AI AI 238

IBM Journey to AI blog

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. How the models are stored.

Data Science 148

Data Science DevOps Machine Learning Data Scientist 148

AWS Machine Learning Blog

MARCH 7, 2024

Typically, this involves manually editing each image with photo software. The Streamlit web application calls an Amazon API Gateway REST API endpoint integrated with the Amazon Rekognition DetectLabels API , which detects labels for each image. This can take a lot of effort, especially for large batches of images.

Automation 120

Automation Generative AI DevOps Explainability 120

AWS Machine Learning Blog

OCTOBER 19, 2023

Amazon Rekognition uses a hierarchical taxonomy to label inappropriate or unwanted content with 10 top-level moderation categories (such as violence, explicit, alcohol, or drugs) and 35 second-level categories. Import images from an Amazon Simple Storage Service (Amazon S3) bucket and provide labels.

Computer Vision 111

Computer Vision Auto-complete Artificial Intelligence Artificial Intelligence 111

AWS Machine Learning Blog

SEPTEMBER 22, 2023

To improve the base model’s instruction-following ability, human data annotators are tasked with authoring responses to various prompts. The collected responses (often referred to as demonstration data) are used in a process called supervised fine-tuning (SFT). The following diagram illustrates this architecture. yaml sft_hh.py

Machine Learning 100

Machine Learning LLM Computer Vision Large Language Models 100

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

Allen AI

FEBRUARY 23, 2024

Tailored to revolutionize our utilization of Automatic Identification System (AIS) data, this platform aids AI in comprehending the intricacies of vessel behavior. It’s about turning a complex task into something intuitive,” said Rachel Ratner, Senior Software Engineer.

Software Engineer 52

Software Engineer Machine Learning Big Data AI 52

Google Research AI blog

APRIL 27, 2023

Posted by Babak Behsaz, Software Engineer, and Andrew Carroll, Product Lead, Genomics The combination of the environment an individual experiences and their genetic predispositions determines the majority of their risk for various diseases. Much of the rich data from these spirograms is discarded in this analysis of lung function.

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ML Software Engineer Deep Learning 99

IBM Journey to AI blog

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Computer Vision 224

Computer Vision Automation Robotics AI 224

AWS Machine Learning Blog

MAY 5, 2023

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth.

Metadata 76

Metadata Computer Vision Machine Learning Data Scientist 76

Flipboard

FEBRUARY 3, 2023

Seattle is an “ anchor customer ” for the software, according to Chicago-based startup Truleo, a startup founded in 2021 that grew out of a platform first developed to analyze phone calls and text messages between Wall Street bankers. A spokeswoman said “it’s too early in the process to speak to measurable outcomes.”

Natural Language Processing 98

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 98

AWS Machine Learning Blog

MARCH 28, 2024

For example, the training data used for BloombergGPT is 51% domain-specific documents, including financial news, filings, and other financial materials. Collecting and preparing finance data Domain continual pre-training necessities a large-scale, high-quality, domain-specific dataset.

Large Language Models 99

Large Language Models LLM Generative AI Machine Learning 99

AWS Machine Learning Blog

MARCH 13, 2023

Amazon SageMaker Ground Truth Plus is a managed data labeling service that makes it easy to label data for machine learning (ML) applications. One common use case is semantic segmentation, which is a computer vision ML technique that involves assigning class labels to individual pixels in an image.

Machine Learning 68

Machine Learning ML Robotics Software Engineer 68

Google Research AI blog

MARCH 6, 2023

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative , an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe.

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Software Engineer Algorithm AI AI 140

AWS Machine Learning Blog

OCTOBER 2, 2023

Solution overview In Part 1 of this series, we laid out an architecture for our end-to-end MLOps pipeline that automates the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. In Part 2 , we showed how to automate the labeling and model training parts of the pipeline.

Automation 92

Automation DevOps ML Machine Learning 92

Viso.ai

DECEMBER 19, 2023

We live in the era of data. With the Internet of Things (IoT) and Artificial Intelligence (AI) becoming ubiquitous technologies, we now have huge volumes of data being generated. Differing in form, data could be speech, text, image, or a mix of any of these. ” What is Image Classification?

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

AWS Machine Learning Blog

OCTOBER 26, 2023

We used the AWS Neuron SDK—a set of software tools used with Inferentia—to compile and optimize our models for deployment on EC2 Inf1 instances. This increase in data input significantly improves the accuracy of product detection within our models, further boosting the overall efficacy of our shopping systems.

ML 102

ML Computer Vision Machine Learning AI 102

AssemblyAI

SEPTEMBER 12, 2023

Traditionally, this included newspapers, magazines, TV broadcasts, and radio, but it's now expanded to digital media sources: Social media networks Online news sites Blogs Forums Video Podcasts TV The purpose of media monitoring is to stay up to date on how the public perceives your brand. However, not all solutions are created equally.

Categorization 130

Categorization AI AI AI Modeling 130

Towards AI

AUGUST 22, 2023

Gemini is still in training, but it’s already exhibiting multimodal capabilities never before seen in prior models.” — Google CEO blog, May-23. We have also heard Google is being careful about its training set and that it might have integrated Video and Audio data from YouTube into Gemini. It could see a release as soon as next week.

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LLM AI AI OpenAI 85

AWS Machine Learning Blog

MARCH 30, 2023

The Snapper tool automatically adjusts noisy annotations, reducing the time required to annotate data at a high-quality level. To evaluate Snapper, we dynamically generated noisy annotation data by randomly adjusting the COCO ground truth bounding box coordinates with jitter. The following table summarizes our findings.

Machine Learning 83

Machine Learning Convolutional Neural Networks Neural Network Computer Vision 83

AWS Machine Learning Blog

DECEMBER 12, 2023

By 2025, Vodafone plans to have 50% of its global workforce actively involved in software development, with an objective to deliver 60% of digital services in-house. Its super power is that it learns very complex behaviors without requiring any labeled training data, and can make short-term decisions while optimizing for a longer-term goal.

Machine Learning 105

Machine Learning ML DevOps Software Engineer 105

Pickl AI

APRIL 8, 2024

This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. From the moment we wake up to the personalized recommendations on our phones to the algorithms powering facial recognition software, AI is constantly shaping our world.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm AI 52

Bugra Akyildiz

JUNE 11, 2023

Lyft wrote about their efforts to detect anomalies in time-series signals in this following blog post. Google built a new system called DIDACT (​​Dynamic Integrated Developer ACTivity), that trains a LLM for all of the software development activities. self-preservation or power-seeking).

Algorithm 52

Algorithm Deep Learning Python NLP 52

Defined.ai blog

FEBRUARY 20, 2023

These algorithms consist of two parts: a generator network that produces synthetic data, and a discriminator network that attempts to distinguish the synthetic from real data. CycleGAN In many cases, paired training data may not be available (i.e., Corresponding results can be found here.

Machine Learning 98

Machine Learning Explainability Algorithm AI Modeling 98