Data Science Dojo

SEPTEMBER 10, 2024

LLM companies are businesses that specialize in developing and deploying Large Language Models (LLMs) and advanced machine learning (ML) models. It has also risen as a dominant player in the LLM space, leading the changes within the landscape of natural language processing and AI-driven solutions.

Machine Learning 369

Machine Learning Machine Learning Natural Language Processing ML 369

Towards AI

FEBRUARY 3, 2025

app downloads, DeepSeek is growing in popularity with each passing hour. DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP). With numbers estimating 46 million users and 2.6M

AI 121

AI AI Natural Language Processing Artificial Intelligence 121

AWS Machine Learning Blog

JUNE 11, 2024

In our test environment, we observed 20% throughput improvement and 30% latency reduction across multiple natural language processing models. These models are serving intent detection, text clustering, creative insights, text classification, smart budget allocation, and image download services.

Machine Learning 123

Machine Learning Machine Learning AWS Natural Language Processing 123

Towards AI

NOVEMBER 6, 2024

The Challenge Legal texts are uniquely challenging for natural language processing (NLP) due to their specialized vocabulary, intricate syntax, and the critical importance of context. Terms that appear similar in general language can have vastly different meanings in legal contexts. features['label'].namesnum_labels

Exploratory Data Analysis 111

Exploratory Data Analysis EDA Data Analysis Data Analysis 111

Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

AWS Machine Learning Blog

JUNE 5, 2025

In this post, we share how Radial optimized the cost and performance of their fraud detection machine learning (ML) applications by modernizing their ML workflow using Amazon SageMaker. High-performing machine learning models have become invaluable tools in achieving these goals.

Machine Learning 57

Machine Learning Machine Learning AWS ML 57

AWS Machine Learning Blog

OCTOBER 19, 2023

Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII). Download the SageMaker Data Wrangler flow.

Machine Learning 124

Machine Learning Machine Learning ML ML 124

AWS Machine Learning Blog

OCTOBER 9, 2023

The problem with the increasing volume of customer reviews across multiple channels is that it can be challenging for companies to process and derive meaningful insights from the data using traditional methods. Machine learning (ML) can analyze large volumes of product reviews and identify patterns, sentiments, and topics discussed.

Machine Learning 121

Machine Learning Machine Learning ML ML 121

Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 10, 2023

In the recent past, using machine learning (ML) to make predictions, especially for data in the form of text and images, required extensive ML knowledge for creating and tuning of deep learning models. He works with customer across ASEAN to architect machine learning solutions at scale in AWS.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

Dataconomy

OCTOBER 10, 2023

This cutting-edge tool integrates AI technologies such as Natural Language Processing (NLP), Machine Learning (ML), and Computer Vision (CV) to provide an unparalleled video creation experience. Steve AI will then generate a video for you that you can customize and export.

AI 182

AI AI Natural Language Processing Artificial Intelligence 182

AWS Machine Learning Blog

JANUARY 29, 2025

Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps.

AWS 135

AWS ML ML AI 135

Flipboard

APRIL 23, 2025

The integration of modern natural language processing (NLP) and LLM technologies enhances metadata accuracy, enabling more precise search functionality and streamlined document management. When processing is triggered, endpoints are automatically initialized and model artifacts are downloaded from Amazon S3.

AWS 107

AWS ML ML AI 107

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Flipboard

FEBRUARY 11, 2025

The Process Data Lambda function redacts sensitive data through Amazon Comprehend. Amazon Comprehend provides real-time APIs, such as DetectPiiEntities and DetectEntities , which use natural language processing (NLP) machine learning (ML) models to identify text portions for redaction.

AWS 154

AWS ML ML Machine Learning 154

Heartbeat

FEBRUARY 9, 2023

Photo by Brooks Leibee on Unsplash Introduction Natural language processing (NLP) is the field that gives computers the ability to recognize human languages, and it connects humans with computers. SpaCy is a free, open-source library written in Python for advanced Natural Language Processing.

Natural Language Processing 52

Natural Language Processing Python Deep Learning Deep Learning 52

Mlearning.ai

JUNE 7, 2023

This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks. As I write this, the bert-base-uncasedmodel on HuggingFace has been downloaded over 53 million times in the last month alone!

Natural Language Processing 52

Natural Language Processing AI AI ML 52

Dataconomy

AUGUST 31, 2023

Aleph Alpha is Europe’s answer to global AI advancements, aiming to establish a pioneering presence in artificial intelligence ( Image credit ) Aleph Alpha stands tall on the foundation of pioneering research, setting its sights on the frontiers of natural language processing, computer vision, and machine learning.

Artificial Intelligence 213

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 213

Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk These applications also leverage the power of Machine Learning and Deep Learning. """

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 13, 2025

HF_TOKEN : This parameter variable provides the access token required to download gated models from the Hugging Face Hub, such as Llama or Mistral. Model Base Model Download DeepSeek-R1-Distill-Qwen-1.5B Model Base Model Download DeepSeek-R1-Distill-Qwen-1.5B meta-llama/Llama-3.2-11B-Vision-Instruct GenAI Data Scientist at AWS.

AI 112

AI AI AWS ML 112

AWS Machine Learning Blog

NOVEMBER 15, 2024

It provides a common framework for assessing the performance of natural language processing (NLP)-based retrieval models, making it straightforward to compare different approaches. Amazon SageMaker is a comprehensive, fully managed machine learning (ML) platform that revolutionizes the entire ML workflow.

AWS 112

AWS Computer Science Computer Science Database 112

Applied Data Science

AUGUST 2, 2021

Download the free, unabridged version here. Machine learning The 6 key trends you need to know in 2021 ? They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team.

Data Science 130

Data Science Data Scientist ML ML 130

AWS Machine Learning Blog

JANUARY 21, 2025

In this post, we show you how Amazon Web Services (AWS) helps in solving forecasting challenges by customizing machine learning (ML) models for forecasting. To learn more about the modalities that Amazon SageMaker Canvas supports, visit the Amazon SageMaker Canvas product page. To download a copy of this dataset, visit.

ML 102

ML ML Algorithm AWS 102

AWS Machine Learning Blog

OCTOBER 5, 2023

First, download the Llama 2 model and training datasets and preprocess them using the Llama 2 tokenizer. For detailed guidance of downloading models and the argument of the preprocessing script, refer to Download LlamaV2 dataset and tokenizer. He focuses on developing scalable machine learning algorithms.

AWS 130

AWS Machine Learning Machine Learning Deep Learning 130

AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. He specializes in developing scalable, production-grade machine learning solutions for AWS customers.

AI 82

AI AWS AI SQL 82

Flipboard

JUNE 5, 2025

As organizations look to incorporate AI capabilities into their applications, large language models (LLMs) have emerged as powerful tools for natural language processing tasks. She has been actively involved in multiple Generative AI initiatives across APJ, harnessing the power of Large Language Models (LLMs).

AWS 108

AWS AI AI ML 108

AWS Machine Learning Blog

OCTOBER 30, 2024

Complete the following steps: Download the CloudFormation template and deploy it in the source Region ( us-east-1 ). Download the CloudFormation template to deploy a sample Lambda and CloudWatch log group. He focuses on building systems and tooling for scalable distributed deep learning training and real-time inference.

AWS 117

AWS AI AI Natural Language Processing 117

Pickl AI

DECEMBER 9, 2024

Summary: AI and Machine Learning courses provide essential skills for thriving in a tech-driven world. Introduction The rapidly expanding fields of AI and Machine Learning are reshaping industries worldwide, and acquiring skills in these areas is crucial. The global Machine Learning market, valued at USD 35.80

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

MAY 15, 2024

ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. The script downloads the models, exports them to ONNX format, quantizes them into int8 for int8 inference, and runs inference for different sequence lengths and batch sizes.

AWS 137

AWS Natural Language Processing Python Deep Learning 137

AWS Machine Learning Blog

MARCH 11, 2025

Solution overview You can use DeepSeeks distilled models within the AWS managed machine learning (ML) infrastructure. This method is generally much faster, with the model typically downloading in just a couple of minutes from Amazon S3. We demonstrate how to deploy these models on SageMaker AI inference endpoints.

AWS 83

AWS ML ML Natural Language Processing 83

AWS Machine Learning Blog

MARCH 21, 2025

JupyterLab applications flexible and extensive interface can be used to configure and arrange machine learning (ML) workflows. We use JupyterLab to run the code for processing formulae and charts. We download the documents and store them under a samples folder locally.

AWS 117

AWS AI AI Data Scientist 117

AWS Machine Learning Blog

OCTOBER 6, 2023

Background of multimodality models Machine learning (ML) models have achieved significant advancements in fields like natural language processing (NLP) and computer vision, where models can exhibit human-like performance in analyzing and generating content from a single source of data.

AI 132

AI AI Machine Learning Machine Learning 132

Pickl AI

DECEMBER 25, 2024

By understanding its significance, readers can grasp how it empowers advancements in AI and contributes to cutting-edge innovation in natural language processing. Composition of the Pile Dataset The Pile dataset is an extensive and diverse text collection designed to fuel AI and Machine Learning advancements.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning AI 52

AWS Machine Learning Blog

SEPTEMBER 13, 2023

A traditional approach might be to use word counting or other basic analysis to parse documents, but with the power of Amazon AI and machine learning (ML) tools, we can gather deeper understanding of the content. This file needs to be download and converted to a non-compressed format.

AWS 132

AWS Database ML ML 132

Pickl AI

JULY 10, 2024

Summary: Explore a range of top AI and Machine Learning courses that cover fundamental to advanced concepts, offering hands-on projects and industry insights. Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 21, 2024

Complete the following steps for manual deployment: Download these assets directly from the GitHub repository. To learn more about creating custom labeling workflows in SageMaker Ground Truth, visit Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda and Custom labeling workflows.

AWS 105

AWS AI AI Natural Language Processing 105

ODSC - Open Data Science

APRIL 3, 2023

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. Her main research interests are in machine learning for large-scale language understanding and text semantics. Don’t worry, you’re not alone! Euro) in 2021. Iryna Gurevych.

Natural Language Processing 117

Natural Language Processing Machine Learning Machine Learning Data Science 117