Towards AI

NOVEMBER 10, 2023

I had only 39 labeled MRI images for training and validation and 20 labeled images for a final test set. After experimenting with a simple 3D UNet and fine-tuning the hyperparameters… Read the full blog for free on Medium. After beginning my Ph.D., Join thousands of data leaders on the AI newsletter.

AI 102

AI AI Machine Learning 102

AssemblyAI

DECEMBER 20, 2023

Join Us On Discord 2023 at AssemblyAI - A Year in Review Here are some of the new products and features we've launched for customers in 2023: Conformer-1 and Conformer-2 AI Models Released : The year saw the launch of  Conformer-2 , our enhanced AI model for automatic speech recognition. Processing Speaker Labels  with LeMUR.

Large Language Models 147

Large Language Models Python Explainability AI Modeling 147

Snorkel AI

APRIL 11, 2024

Today, I’m incredibly excited to announce our new offering, Snorkel Custom, to help enterprises cross the chasm from flashy chatbot demos to real production AI value. Enterprises are under mounting pressure to show value from AI investments, but are realizing that off-the-shelf LLMs are rarely enough to meet production requirements.

LLM 80

LLM Chatbots AI Developer AI Development 80

AWS Machine Learning Blog

APRIL 5, 2024

adds 26 new moderation labels and expands the moderation label taxonomy from a two-tier to a three-tier label category. These new labels and the expanded taxonomy enable customers to detect fine-grained concepts on the content they want to moderate. Moderation Labels Taxonomy Level Confidence Scores Violence L1 92.6%

Computer Vision 104

Computer Vision Machine Learning Deep Learning Artificial Intelligence 104

AssemblyAI

MARCH 15, 2023

In the original implementation of Sparse Attention, the average attention score is computed for a particular timestep, then the dot-product contribution from any timestep with lower attention score is filtered out. Image: Google Research Blog. Interested in integrating Conformer-1 into your product? 2] Vaswani, Ashish, et al. "Attention

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Convolutional Neural Networks Large Language Models Neural Network OpenAI 364

Towards AI

FEBRUARY 23, 2024

Clustering in Machine Learning stands as a fundamental unsupervised learning task, different from its supervised counterparts due to the lack of labeled data. As… Read the full blog for free on Medium. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Machine Learning 95

Machine Learning Data Scientist Algorithm Data Science 95

IBM Journey to AI blog

AUGUST 25, 2023

Planning and managing your cloud ecosystem and environments is critical for reducing production downtime and maintaining a functioning workload. In the “Managing your cloud ecosystems” blog series, we cover different strategies for ensuring that your setup functions smoothly with minimal downtime.

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Towards AI

NOVEMBER 19, 2023

It needs a lot of labeled data that takes more time and effort if not available publicly.It takes… Read the full blog for free on Medium. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. What is the issue of training deep learning models from scratch?

Deep Learning 112

Deep Learning Natural Language Processing Computer Vision NLP 112

AI News

DECEMBER 18, 2023

This blog delves into the transformative impact of AI in marketing , exploring its diverse applications and showcasing ten exceptional AI marketing campaigns that have set the benchmark for innovation. Nutella: Unica Limited Edition Labels Nutella, a popular hazelnut spread, sought to stand out with unique and personalized packaging.

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Artificial Intelligence Artificial Intelligence AI AI 270

Towards AI

JANUARY 30, 2024

Existing methods rely on collecting human labels to fine-tune LMs, often through reinforcement learning from human feedback (RLHF). Calculate policy loss.Image by: GenAI with LLMs Course The fundamental principle of PPO centers on implementing gradual, incremental… Read the full blog for free on Medium.

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Explainability LLM ML Engineer ML 97

Topbots

OCTOBER 4, 2023

Is generative AI about to become the key driver for increased productivity? a social media post or product description). Image processing : Predictive image processing models, such as convolutional neural networks (CNNs), can classify images into predefined labels (e.g., identify different products on a grocery store shelf).

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Snorkel AI

OCTOBER 23, 2023

Executive summary Wayfair, the leading home goods and furniture e-commerce retailer, offers over 40M products to 22 M customers. Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. To ensure that relevant products appear in customer searches (e.g.

Automation 64

Automation Computer Vision Machine Learning Data Scientist 64

IBM Journey to AI blog

MAY 9, 2023

Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. They’ve been incorporated into a range of IBM products that will be made available to IBM customers in the coming months. Our Prompt Lab enables users to rapidly perform AI tasks with just a few labeled examples.

Data Platform 338

Data Platform AI AI Automation 338

AWS Machine Learning Blog

OCTOBER 5, 2023

We demonstrate this using an Amazon Comprehend custom classification to build a multi-label custom classification model, and provide guidelines on how to prepare the training dataset and tune the model to meet performance metrics such as accuracy, precision, recall, and F1 score. This dataset contains 6 labels with 158,571 data points.

NLP 95

NLP ML Natural Language Processing Artificial Intelligence 95

Snorkel AI

OCTOBER 23, 2023

Executive summary Wayfair, the leading home goods and furniture e-commerce retailer, offers over 40M products to 22 M customers. Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. To ensure that relevant products appear in customer searches (e.g.

Automation 59

Automation Computer Vision Machine Learning Data Scientist 59

Towards AI

OCTOBER 12, 2023

At the beginning of my journey as a data scientist, I was actually playing with public datasets such as Kaggle, which was properly organized, and most of the time, the dataset had labels. Raw data lacks proper structure… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

Machine Learning 98

Machine Learning Data Scientist AI AI 98

Towards AI

SEPTEMBER 1, 2023

If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. Join over 80,000 subscribers and keep up to date with the latest developments in AI.

Machine Learning 105

Machine Learning Algorithm AI AI 105

Towards AI

FEBRUARY 7, 2024

Where AI Assistance doesn’t require those with disabilities to be labeled. I… Read the full blog for free on Medium. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. I’ve found a solution where we can all move forward. From research to projects and ideas.

AI 97

AI AI AI Tools Artificial Intelligence 97

Flipboard

DECEMBER 6, 2023

Sundar Pichai, the Google and Alphabet CEO, said in a blog post that Gemini represents “one of the biggest science and engineering efforts we’ve undertaken as a company,” under the umbrella of the company’s DeepMind AI initiatives.

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Snorkel AI

JUNE 12, 2023

For every model development step in the modern journey of building AI applications, there is a critical but often underappreciated data development step, where the data that actually informs the model is selected, labeled, cleaned, shaped, and curated. Snorkel Flow: For programmatic labeling of predictive AI use cases (e.g.,

Data Platform 145

Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

For every model development step in the modern journey of building AI applications, there is a critical but often underappreciated data development step, where the data that actually informs the model is selected, labeled, cleaned, shaped, and curated. Snorkel Flow: For programmatic labeling of predictive AI use cases (e.g.,

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141

Towards AI

OCTOBER 31, 2023

This blog post is an adaptation of the gist from the same author. You want to train with production data, but you can’t easily label your production data (e.g., how do you get labeled production data from ChatGPT? This explanation might help. Models like BERT, which are encoder-only, are not addressed.

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ChatGPT BERT Algorithm AI 100

IBM Journey to AI blog

SEPTEMBER 18, 2023

Panic ensues as you wonder if those very strawberries are part of the recall, and you hastily check the label. For the first time, the industry will be required to collect and maintain detailed information about the ingredients, processing, and distribution of their products. It’s breaking news: a food recall alert!

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AWS Machine Learning Blog

OCTOBER 19, 2023

From ecommerce platforms encouraging customers to share product images to social media companies promoting user-generated videos and images, using user content for engagement is a powerful strategy. Import images from an Amazon Simple Storage Service (Amazon S3) bucket and provide labels.

Computer Vision 107

Computer Vision Auto-complete Artificial Intelligence Artificial Intelligence 107

Marktechpost

MARCH 12, 2024

This obstacle lowers productivity through machine learning development—from data discovery to model training. These include data life cycle management, labeling, participatory data, ML safety and fairness evaluation, explainability, compliance, and more. Check out the Blog and Project.

Metadata 120

Metadata Machine Learning ML Data Discovery 120

John Snow Labs

MAY 31, 2023

Welcome to Part II of the blog series on extracting entities from text reviews using NLP Lab. In the first part of the blog, we discussed the challenges faced by a market research company as they aimed to extract relevant entities from a vast dataset of hotel reviews.

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NLP Data Ingestion Data Scientist Deep Learning 64

IBM Journey to AI blog

JUNE 23, 2023

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. Insurers want to shift from fixed to variable, “pay-as-you-go” operating costs.

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IBM Journey to AI blog

JANUARY 3, 2024

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations. Mandate that outputs be auditable and explainable.

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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.

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Metadata Computer Vision Machine Learning Data Scientist 75

Snorkel AI

AUGUST 9, 2023

Building upon these foundations to create production-quality applications requires further development. In this blog post, we walk through an anonymized real-world use case comparing a variety of state-of-the-art LLMs (GPT 4, GPT 3.5, In this blog post, we’ll look specifically at the task of extracting “product resistances” for rugs.

LLM 52

LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

Snorkel AI

AUGUST 9, 2023

Building upon these foundations to create production-quality applications requires further development. In this blog post, we walk through an anonymized real-world use case comparing a variety of state-of-the-art LLMs (GPT 4, GPT 3.5, In this blog post, we’ll look specifically at the task of extracting “product resistances” for rugs.

LLM 52

LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

Towards AI

FEBRUARY 20, 2024

I am starting a series with this blog, which will guide a beginner to get the hang of the ‘Machine learning world’. labeled as Cat. The computer model analyses different features with the label. Supervised learning: This involves learning from labeled data, where each data point has a known outcome.

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IBM Journey to AI blog

DECEMBER 4, 2023

We also provide the same contractual intellectual property protections  for IBM-developed AI models as we do for all our products, reinforcing trust in businesses’ AI journeys. This reduces the time spent labeling data and the need for experienced developers to program models.

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Viso.ai

DECEMBER 20, 2023

Supervised learning is a type of machine learning algorithm that learns from a set of training data that has been labeled training data. And in image classification , supervised learning algorithms are used to learn how to assign a class label (e.g., “cat”, “dog”, etc.) from a set of images. to an image.

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Computer Vision Neural Network Machine Learning Algorithm 98

Towards AI

FEBRUARY 18, 2024

Photo by SHVETS production from Pexels As per the routine I follow every time, here I am with the Python implementation of Causal Impact. This department likely caters to educational and stationery products. Author(s): Akanksha Anand (Ak) Originally published on Towards AI.

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Python Algorithm AI AI 104

Marktechpost

AUGUST 1, 2023

This partnership resulted in the development of a label quality model (LQM), ensuring more accurate content labeling for improved advertising precision and fostering trust among viewers, creators, and advertisers on the platform. Check out the Twitter Thread and Blog.

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IBM Journey to AI blog

FEBRUARY 14, 2024

AI is not yet loading the dishwasher after supper—but can help create a legal brief, a new product design, or a letter to grandma. Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. AI can also assist with suggestions for boosting production efficiency.

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