AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

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Towards AI

FEBRUARY 20, 2024

If you want an overview of the Machine Learning Process, it can be categorized into 3 wide buckets: Collection of Data: Collection of Relevant data is key for building a Machine learning model. It isn't easy to collect a good amount of quality data. How Machine Learning Works?

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Becoming Human

MAY 9, 2024

In this article, we’ll talk about what named entity recognition is and why it holds such an integral position in the world of natural language processing. Introduction about NER Named entity recognition (NER) is a fundamental aspect of natural language processing (NLP). Disadvantages 1.Data

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Natural Language Processing NLP Categorization Data Mining 52

Snorkel AI

JANUARY 11, 2023

Pixability is a data and technology company that allows advertisers to quickly pinpoint the right content and audience on YouTube. To help brands maximize their reach, they need to constantly and accurately categorize billions of YouTube videos. Using AI to help customers optimize ad spending and maximize their reach on YouTube.

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Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately? However, in this sea of complexity, NLP offers a ray of hope.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

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Heartbeat

AUGUST 29, 2023

Deep learning is a branch of machine learning that makes use of neural networks with numerous layers to discover intricate data patterns. Deep learning models use artificial neural networks to learn from data. Natural Language Processing (NLP) : Question answering, language modeling, sentiment analysis, machine translation, and more.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

The high-level steps involved in the solution are as follows: Use AWS Step Functions to orchestrate the health data anonymization pipeline. Use Amazon Athena queries for the following: Extract non-sensitive structured data from Amazon HealthLake. Perform one-hot encoding with Amazon SageMaker Data Wrangler.

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ML Machine Learning Categorization NLP 83

Heartbeat

AUGUST 21, 2023

AlexNet was created to categorize photos in the ImageNet dataset, which contains approximately 1 million images divided into 1,000 categories. Natural Language Processing : CNNs have been implemented for sentiment analysis and text categorization in natural language processing jobs.

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John Snow Labs

OCTOBER 19, 2023

Natural Language Processing (NLP) models rely heavily on bias to function effectively. In fact, a certain degree of bias is essential for these models to make accurate predictions and decisions based on patterns within the data they have been trained on. harness.generate().run().report()

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Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Assigning complaints to staff.

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Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Assigning complaints to staff.

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Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Assigning complaints to staff.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. Assigning complaints to staff.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Pickl AI

NOVEMBER 18, 2024

The article also addresses challenges like data quality and model complexity, highlighting the importance of ethical considerations in Machine Learning applications. Key steps involve problem definition, data preparation, and algorithm selection. Data quality significantly impacts model performance.

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Topbots

DECEMBER 19, 2023

The Many Faces of Responsible AI In her presentation , Lora Aroyo, a Research Scientist at Google Research, highlighted a key limitation in traditional machine learning approaches: their reliance on binary categorizations of data as positive or negative examples. In safety evaluation tasks, experts disagree on 40% of examples.

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Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

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Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping.

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Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

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Categorization ChatGPT Large Language Models Generative AI 40

Chatbots Life

MAY 19, 2023

They achieve this by asking the user for input, seeking confirmation, and collecting essential data for back-end business systems, boosting data quality and avoiding mistakes. IT helpdesk chatbots with AI capabilities may use conversation history and other factors to detect the employee’s purpose and categorize them accordingly.

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Pickl AI

NOVEMBER 28, 2024

These networks can learn from large volumes of data and are particularly effective in handling tasks such as image recognition and natural language processing. Key Deep Learning models include: Convolutional Neural Networks (CNNs) CNNs are designed to process structured grid data, such as images.

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Viso.ai

JUNE 24, 2024

We can categorize the types of AI for the blind and their functions. Object Recognition The process of detecting objects is necessary for daily activities. However, those models still hold drawbacks, things like font, language, and format are big challenges for OCR models. A conceptual framework for most assistive tools.

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Defined.ai blog

APRIL 10, 2023

Named Entity Recognition (NER) is a natural language processing (NLP) subtask that involves automatically identifying and categorizing named entities mentioned in a text, such as people, organizations, locations, dates, and other proper nouns. What is Named Entity Recognition (NER)?

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NLP Categorization Natural Language Processing Algorithm 52

Defined.ai blog

APRIL 10, 2023

Named Entity Recognition (NER) is a natural language processing (NLP) subtask that involves automatically identifying and categorizing named entities mentioned in a text, such as people, organizations, locations, dates, and other proper nouns. What is Named Entity Recognition (NER)?

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NLP Categorization Natural Language Processing Algorithm 52

Dlabs.ai

DECEMBER 6, 2022

They’re the perfect fit for: Image, video, text, data & lidar annotation Audio transcription Sentiment analysis Content moderation Product categorization Image segmentation iMerit also specializes in extraction and enrichment for Computer Vision , NLP , data labeling, and other technologies.

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