KDnuggets

JUNE 24, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Make Sense of a 10K+ Line GitHub Repos Without Reading the Code No time to read huge GitHub projects?

Natural Language Processing 174

Natural Language Processing Data Science Machine Learning Machine Learning 174

Flipboard

JUNE 13, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind? Here, SQL stepped in.

Analytics 151

Analytics Analytics Natural Language Processing Data Science 151

How to Learn Machine Learning

MAY 4, 2025

Today, we’re exploring an awesome tool called SaveTWT that solves a common challenge: how to download video from Twitter. But we’ll go beyond just the “how-to” we’ll also discover exciting ways machine learning enthusiasts can use these downloaded videos for cool projects.

Machine Learning 52

Machine Learning Machine Learning Python Natural Language Processing 52

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. One can build NLP projects in different ways, and one of those is by using the Python library S paCy. What is spaCy?

Natural Language Processing 52

Natural Language Processing Python Deep Learning Deep Learning 52

Mlearning.ai

MAY 31, 2023

With advancements in Natural Language Processing (NLP) and the introduction of models like ChatGPT, chatbots have become increasingly popular and powerful tools for automating conversations. In this article, we will explore the process of creating a simple chatbot using Python and NLP techniques.

Python 98

Python Natural Language Processing Algorithm AI 98

Data Science Dojo

MAY 22, 2023

Harrison Chase’s brainchild, LangChain, is a Python library designed to help you leverage the power of LLMs to build custom NLP applications. PyPDF2: Python library used to read and manipulate PDF files. langchain: a framework for developing applications powered by language models. This is where LangChain comes into play!

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Natural Language Processing Python Database 273

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

Flipboard

JULY 3, 2025

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. Familiarity with Python and PyTorch for distributed training and model customization. Wait for the space to be ready.

ML 109

ML ML AWS Data Engineering 109

AWS Machine Learning Blog

OCTOBER 18, 2024

Business challenge Today, many developers use AI and machine learning (ML) models to tackle a variety of business cases, from smart identification and natural language processing (NLP) to AI assistants. Call the SageMaker control plane API using the SageMaker Python SDK for model training. environment. An AWS account.

AWS 103

AWS AI AI Machine Learning 103

Data Science Dojo

JUNE 14, 2023

Most paraphrasing tools that are powered by AI are developed using Python because Python has a lot of prebuilt libraries for NLP ( natural language processing ). NLP is yet another application of machine learning algorithms. Pegasus Transformer This is a part of the Transformers library available in Python 3.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

Most paraphrasing tools that are powered by AI are developed using Python because Python has a lot of prebuilt libraries for NLP ( natural language processing ). NLP is yet another application of machine learning. Pegasus Transformer This is a part of the Transformers library available in Python 3.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

Most paraphrasing tools that are powered by AI are developed using Python because Python has a lot of prebuilt libraries for NLP ( natural language processing ). NLP is yet another application of machine learning. Pegasus Transformer This is a part of the Transformers library available in Python 3.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

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 on Unsplash At its core, the discipline of Natural Language Processing (NLP) tries to make the human language “palatable” to computers.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Machine Learning 52

AWS Machine Learning Blog

JANUARY 29, 2025

You can customize the retry behavior using the AWS SDK for Python (Boto3) Config object. Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps. The restoration time varies depending on the on-demand fleet size and model size.

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AWS ML ML AI 134

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. In this application, we install or update a few libraries for running Llama.cpp in Python. This removes the need to untar large files.

AWS 109

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Flipboard

JULY 24, 2023

’ If someone wants to use Quivr without any limitations, then they can download it locally on their device. You should also have the official, and the latest version of Python preinstalled on your device. It also helps in generating information and producing more data with the help of the Natural Language Processing technique.

Natural Language Processing 122

Natural Language Processing Artificial Intelligence Artificial Intelligence Data Science 122

AWS Machine Learning Blog

MAY 15, 2024

Bfloat16 accelerated SGEMM kernels and int8 MMLA accelerated Quantized GEMM (QGEMM) kernels in ONNX have improved inference performance by up to 65% for fp32 inference and up to 30% for int8 quantized inference for several natural language processing (NLP) models on AWS Graviton3-based Amazon Elastic Compute Cloud (Amazon EC2) instances.

AWS 136

AWS Natural Language Processing Python Deep Learning 136

The MLOps Blog

MAY 10, 2023

How to save a trained model in Python? Saving trained model with pickle The pickle module can be used to serialize and deserialize the Python objects. For saving the ML models used as a pickle file, you need to use the Pickle module that already comes with the default Python installation. Now let’s see how we can save our model.

Python 105

Python ML ML Database 105

AWS Machine Learning Blog

MAY 31, 2023

The translated file is automatically saved to your browser’s downloaded folder, usually to Downloads. The target language code will be prefixed to the translated file’s name. For example, if your source file name is lang.txt and your target language is French ( fr ), then the translated file will be named fr.lang.txt.

AWS 101

AWS Natural Language Processing Python ML 101

AWS Machine Learning Blog

OCTOBER 19, 2023

Amazon Comprehend is a natural language processing (NLP) service that uses ML to uncover insights and relationships in unstructured data, with no managing infrastructure or ML experience required. Download the SageMaker Data Wrangler flow. Review the SageMaker Data Wrangler flow. Add a destination node.

Machine Learning 122

Machine Learning Machine Learning ML ML 122

AWS Machine Learning Blog

NOVEMBER 15, 2024

We cover two approaches: using the Amazon SageMaker Studio UI for a no-code solution, and using the SageMaker Python SDK. It’s essential to review and adhere to the applicable license terms before downloading or using these models to make sure they’re suitable for your intended use case. Vision models. You can access the Meta Llama 3.2

ML 110

ML ML Python AWS 110

AWS Machine Learning Blog

JULY 2, 2024

the optimizations are available in torch Python wheels and AWS Graviton PyTorch deep learning container (DLC). the optimizations are available in the torch Python wheels and AWS Graviton DLC. the optimizations are available in the torch Python wheel and in AWS Graviton PyTorch DLC. Starting with PyTorch 2.3.1, Instance: c7g.4xl

AWS 123

AWS Natural Language Processing Python ML 123

Pickl AI

OCTOBER 26, 2023

The following are necessary steps to use ChatGPT APIs in Python: configure your Python environment, get an API key from OpenAI, write Python code to create API calls, and modify the results to fit the needs of your application. Use natural language processing to its maximum ability to improve your projects.

Python 52

Python Natural Language Processing Data Scientist Artificial Intelligence 52

Applied Data Science

AUGUST 2, 2021

Download the free, unabridged version here. They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. Download the free, unabridged version here.

Data Science 130

Data Science Data Scientist Data Analyst Machine Learning 130

AWS Machine Learning Blog

JULY 18, 2023

Word2vec is useful for various natural language processing (NLP) tasks, such as sentiment analysis, named entity recognition, and machine translation. We walk you through the following steps to set up our spam detector model: Download the sample dataset from the GitHub repo. Otherwise, it’s sent to the customer’s inbox.

Supervised Learning 98

Supervised Learning Algorithm Natural Language Processing AWS 98

phData

NOVEMBER 28, 2024

Text splitting is breaking down a long document or text into smaller, manageable segments or “chunks” for processing. This is widely used in Natural Language Processing (NLP), where it plays a pivotal role in pre-processing unstructured textual data. The below flow diagram illustrates this process.

Python 52

Python Database SQL Machine Learning 52

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. medium instance with a Python 3 (ipykernel) kernel. This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com.

AWS 86

AWS AI AI SQL 86

Towards AI

JULY 24, 2024

Building a multi-hop retrieval is a key challenge in natural language processing (NLP) and information retrieval because it requires the system to understand the relationships between different pieces of information and how they contribute to the overall answer. indexify server -d (These are two separate lines.)

Natural Language Processing 105

Natural Language Processing Machine Learning Machine Learning Database 105

Towards AI

JUNE 27, 2023

For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages. PyTorch PyTorch, a Python-based machine learning library, stands out among its peers in the machine learning tools ecosystem.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Flipboard

MARCH 27, 2023

The success of PyTorch is attributed to its simplicity, first-class Python integration, and imperative style of programming. Jump Right To The Downloads Section What’s New in PyTorch 2.0? is available as a Python pip package. Start by accessing the “Downloads” section of this tutorial to retrieve the source code.

Deep Learning 151

Deep Learning Deep Learning Python Natural Language Processing 151

phData

FEBRUARY 10, 2023

This article will show how to integrate a pre-built sentiment analysis model into a dbt pipeline using Snowpark Python. The result will be a sentiment analysis model that can be queried by end users in the final layer of the data transformation process. What is Snowpark Python? Why Does it Matter? What is Sentiment Analysis?

Python 59

Python Machine Learning Machine Learning SQL 59

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 example, to use the RedPajama dataset, use the following command: wget [link] python nemo/scripts/nlp_language_modeling/preprocess_data_for_megatron.py Next, compile the model: sbatch --nodes 4 compile.slurm./llama_7b.sh

AWS 128

AWS Machine Learning Machine Learning Deep Learning 128

AWS Machine Learning Blog

APRIL 29, 2024

Historically, natural language processing (NLP) would be a primary research and development expense. In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows.

AWS 127

AWS ML ML Python 127

AWS Machine Learning Blog

JUNE 12, 2023

Open-source LLMs provide transparency to the model architecture, training process, and training data, which allows researchers to understand how the model works and identify potential biases and address ethical concerns. Download the OpenChatKit model First, we download the OpenChatKit base model.

Python 98

Python AWS Deep Learning Deep Learning 98

AWS Machine Learning Blog

APRIL 25, 2024

AWS and Hugging Face have a partnership that allows a seamless integration through SageMaker with a set of AWS Deep Learning Containers (DLCs) for training and inference in PyTorch or TensorFlow, and Hugging Face estimators and predictors for the SageMaker Python SDK. and requirements.txt files and save it as model.tar.gz : !

AWS 123

AWS ML ML Python 123

Towards AI

JULY 24, 2024

Building a multi-hop retrieval is a key challenge in natural language processing (NLP) and information retrieval because it requires the system to understand the relationships between different pieces of information and how they contribute to the overall answer. indexify server -d (These are two separate lines.)

Natural Language Processing 98

Natural Language Processing Machine Learning Machine Learning Database 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

In this post, we introduce the continuous self-instruct fine-tuning framework and its pipeline, and present how to drive the continuous fine-tuning process for a question-answer task as a compound AI system. Examples are similar to Python dictionaries but with added utilities such as the dspy.Prediction as a return value.

AI 108

AI AI AWS Data Scientist 108