Artificial Corner

JULY 2, 2023

{This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of BeautifulSoup} Image by Author ‍Behold the wondrous marvel known as BeautifulSoup, a mighty Python library renowned for its prowess in the realms of web scraping and data extraction from HTML and XML documents.

Machine Learning 96

Machine Learning Data Extraction Natural Language Processing Python 96

Marktechpost

JANUARY 22, 2024

After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Keylabs Keylabs enables users to annotate images with captions, tags, and other information, such as bounding boxes, important points, and semantic segmentation. Makingsense.ai

Computer Vision 87

Computer Vision Machine Learning ML Deep Learning 87

ODSC - Open Data Science

JUNE 13, 2023

It is important for data practitioners, consumers, and companies that make use of this data to understand where it comes from and how it is consumed by content creators, content consumers, and businesses. People are free to leave comments, likes or dislikes, shares, and subscriptions to content creators.

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

Unite.AI

DECEMBER 26, 2023

Regardless, the realistic AI voices are worth checking out, particularly for video game developers and ASMR content creators. In 2022, they established AI startup ElevenLabs in New York City to eliminate language barriers in content. ElevenLabs is an excellent tool for anyone interested in creating high-quality audio content.

AI 182

AI AI Chatbots AI Chatbots 182

AssemblyAI

FEBRUARY 15, 2024

venv/bin/activate # Windows python -m venv venv.venvScriptsactivate.bat Next, we’ll install all of the dependencies we will need for the projects. Execute the below command: pip install Flask flask-sock assemblyai python-dotenv ngrok twilio Step 2: Create the Flask application Create a file in the project directory called main.py

Python 147

Python Chatbots Automation AI 147

Mlearning.ai

JUNE 29, 2023

This omnipotent tool possesses a profound ability to transmute ordinary individuals into Python-fueled sorcerers, endowing developers with the effortless prowess to conjure captivating web applications that enrapture the senses through unparalleled data visualization and analytics capabilities. children='Hello DASH!

Python 52

Python Data Analysis AI Tools AI 52

Artificial Corner

AUGUST 29, 2023

the Twitter Story Creator App — image byt the author The project I have in mind I wanted to create an app that generates a twitter post with creative and original content, and at the same time take my pictures to another level. We send the topic of the post and we will receive back a creative tweet with all the fancy tags.

LLM 98

LLM Python Large Language Models Auto-complete 98

Viso.ai

MARCH 19, 2024

Together, Grounding DINO and Segment Anything enables a more natural, language-driven approach to parsing visual content. Grounded-SAM aims to refine how models interpret and interact with visual content. Execution: Run the GSA script with appropriate flags for your task: python run_gsa.py --input [input-path] --output [output-path].

Explainability 52

Explainability Computer Vision Machine Learning ChatGPT 52

Pickl AI

MAY 7, 2023

Facial Recognition With the DeepFace technology, Facebook analyses the image and, based on it, recommends the name of the friends for tagging. The Tagging Game: Facial Recognition We love to tag our friends on Facebook. Thus aiding the process of tagging. It’s fun, but do you know what runs behind it?

Big Data 52

Big Data Data Science Deep Learning Robotics 52

AWS Machine Learning Blog

MAY 5, 2023

Although articles of clothing are labeled with categories (and subcategories) and contain a variety of helpful tags that are extracted from the original product descriptions, the data is not systematically labeled with pattern or style information. It’s an established and well-cited dataset, but it isn’t directly suited for your use case.

Metadata 75

Metadata Computer Vision Machine Learning Data Scientist 75

Becoming Human

JUNE 14, 2023

This article will walk you through the steps required to set up the necessary configuration and to understand the Dash/Python application code used to manage the ChatGPT, Google Drive & Docs APIs. A link to my GitLab containing the full Python/Dash source code is also available on the next sections.

ChatGPT 69

ChatGPT Python OpenAI Artificial Intelligence 69

Mlearning.ai

JULY 15, 2023

Connect with Google Lens : You can now upload images and receive accurate summaries of their contents. However, it would be helpful to have the ability to add tags to link multiple conversations together. With just one button click, you can listen to the translated content. Export Python code to Replit.

Python 96

Python ML Artificial Intelligence Artificial Intelligence 96

AWS Machine Learning Blog

FEBRUARY 29, 2024

To build Amazon Personalize artifacts in this post, we use a dataset from IMDb, the world’s most authoritative source for movie, TV, and celebrity content, available on AWS Marketplace, as well as the MovieLens dataset prepared by GroupLens research at the University of Minnesota, consisting of user rankings for various movies.

Auto-complete 90

Auto-complete AI AI ML 90

Explosion

NOVEMBER 4, 2021

For easy integration, floret includes a Python wrapper : pip install floret To get started, check out the pipelines/floret_vectors_demo project which trains toy English floret vectors and imports them into a spaCy pipeline. Bloom embeddings are already used by HashEmbed in tok2vec for compact spaCy models. Results updated on Nov.

NLP 52

NLP Natural Language Processing Python 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

For Python scripts, this will be the AWS SDK for Python (Boto3) : pip install langchain pip install boto3 Additionally, enable access to the Amazon Titan Embeddings model and Anthropic Claude v2 or v1. Use the following pieces of information to provide a concise answer to the question enclosed in tags.

Machine Learning 113

Machine Learning Computer Vision Generative AI Explainability 113

Bugra Akyildiz

MAY 12, 2024

It also contains rich information from the web pages, such as visual representation rendered by web browsers, raw HTML structure, clean text, semantic annotations, language and topic tags labeled by industry document understanding systems, etc. python-pptx is a Python library for creating, reading, and updating PowerPoint (.pptx)

Neural Network 59

Neural Network Large Language Models Python Machine Learning 59

Heartbeat

NOVEMBER 22, 2023

Table of Contents Introduction I. Use delimiters such as triple quotes (“‘xxx’”), triple backticks (```), triple dashes ( — -), angle brackets (< >), and XML tags. Setting Up the Environment First, we’ll use Github Codespace and Python in conjunction with the OpenAI GPT-3.5 Prompting for Developers: A Guideline II.

Chatbots 52

Chatbots OpenAI Deep Learning Machine Learning 52

Mlearning.ai

FEBRUARY 17, 2023

In this article, I will share my experience with MLflow with code in Python that you can adapt to your case. Contents of this article What is MLflow? It is recommended to create a new python environment for MLflow using Anaconda. Add tags to run. After knowing MLflow, I can manage machine learning projects much easier.

Machine Learning 52

Machine Learning Python Auto-complete Data Science 52

AWS Machine Learning Blog

OCTOBER 2, 2023

The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which you can deploy as part of a manufacturing process. In a production setting, you can decide to automatically notify another system that takes care of removing faulty metal tags from the production line.

Automation 89

Automation DevOps ML Machine Learning 89

Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. This includes things like text preprocessing, part-of-speech tagging, parsing, and sentiment analysis.

Large Language Models 98

Large Language Models Neural Network Natural Language Processing Deep Learning 98

AWS Machine Learning Blog

DECEMBER 13, 2023

However, make sure that the token has access to the repository’s contents and actions (workflows, runs, and artifacts). Copy the contents of the seed code directory into the root of your GitHub repository. If you don’t have a personal access token for GitHub, refer to Managing your personal access tokens for instructions to create one.

ML 100

ML Automation Metadata Software Development 100

AWS Machine Learning Blog

JULY 5, 2023

This capability is useful for creating dynamic audio books, educational content, and richer text-to-speech applications. The HTML audio tag is used for this purpose). This approach can be used if the text content is large or the user doesn’t need a real-time response. It sets up the audio player to play the audio.

Chatbots 67

Chatbots Machine Learning Python ML 67

Mlearning.ai

FEBRUARY 18, 2023

", ) my_training_data_test = Input( type=AssetTypes.MLTABLE, path=" /test/", description="Dataset for NASA Turbofan Testing", tags={"source_type": "web", "source": "Kaggle ML Repo"}, version="1.0.0", v1", image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:latest",

Machine Learning 52

Machine Learning ML Automation Linked Data 52

Towards AI

APRIL 18, 2023

Clustering / Tagging / Grouping of documents. The new release adds a chunked sparse matrix multiplication logic compatible with Numba in no-python mode. The blog posts are rich in content and in the number of words used, a good realistic corpus for our example. Recommendations for similar documents.

NLP 82

NLP Algorithm Explainability Python 82

Mlearning.ai

JULY 2, 2023

{This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of Django} Image by Author ‍Prepare to be enthralled by the remarkable world of Django — a magnificent, open-source Python web framework that propels the creation of websites with unparalleled speed, reliability, and fortitude.

Data Science 52

Data Science Python Data Analysis AI Tools 52

AWS Machine Learning Blog

JULY 25, 2023

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. Expand the Deployment Configuration section to change the hosting instance and endpoint name , or add any additional tags. and the kernel as Python 3. By default, it opens the Deploy tab.

Generative AI 79

Generative AI Python AI AI 79

AWS Machine Learning Blog

MAY 25, 2023

We package this code into Python scripts that are provided to the SageMaker Processing Job via a custom container. Create a custom container, then install in it the LangChain and opensearch-py Python packages. Each node also uses Python multiprocessing to internally also parallelize the file processing.

LLM 76

LLM Data Ingestion Python ML 76

DataRobot Blog

JUNE 16, 2022

The DataRobot provider for Apache Airflow is a Python package built from source code available in a public GitHub repository and published in PyPi (The Python Package Index). The integration uses the DataRobot Python API Client , which communicates with DataRobot instances via REST API. DataRobot Python API Client >= 2.27.1.

Python 59

Python ML Machine Learning Data Ingestion 59

AWS Machine Learning Blog

MAY 5, 2023

However, generic search queries would span a wide range of services and across different content creation dates. Users would need to manually select suitable architectural candidates based on specific services and consider the relevance of the architecture design choices according to the content creation date and query date.

Metadata 101

Metadata ETL ML Data Ingestion 101

Mlearning.ai

APRIL 1, 2023

In this way, the model learns to represent each document as a continuous vector in a high-dimensional space that captures its semantic content. Image taken from Top2Vec: Distributed Representation of Topic Python Code We will now provide some Python code examples for training Word2Vec, Doc2Vec, and Top2Vec models.

Deep Learning 52

Deep Learning NLP Natural Language Processing Neural Network 52

AWS Machine Learning Blog

DECEMBER 12, 2023

On the Set description tag page, choose Create access key. Note that basic knowledge of Python language is required for Steps 6–8. On the Security Credentials tab, choose Create access key. On the Access key best practices & alternatives page, select Command Line Interface (CLI) and choose Next. Choose Done.

LLM 99

LLM Large Language Models Generative AI Neural Network 99

Mlearning.ai

MAY 31, 2023

In this article, we will explore the process of creating a simple chatbot using Python and NLP techniques. It involves techniques such as tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis. Experiment, iterate, and enjoy the process of building intelligent conversational agents with Python and NLP.

Chatbots 98

Chatbots Python Natural Language Processing NLP 98

AWS Machine Learning Blog

APRIL 22, 2024

Enter the certificate body and private key, from the contents of ldaps.crt and ldaps.key respectively. Add any optional tags, then choose Next. Using an RDP client is recommended over using a browser-based Remote Desktop so that you can exchange the contents of the clipboard with your local machine using copy-paste operations.

Software Engineer 86

Software Engineer Software Development Machine Learning ML 86

AWS Machine Learning Blog

APRIL 23, 2024

To use Local Mode, set instance_type='local' when running SageMaker Python SDK jobs such as training and inference. For Code Editor only, you need to set the Python environment to run in the current terminal. Python 3.10 bullseye image hosted on Docker Hub : # Use the specified Python base image FROM python:3.10.13-bullseye

ML 96

ML Python Machine Learning Generative AI 96

Explosion

JANUARY 29, 2023

we started using logits during inference, which resulted in speedups of 27% when using a tagging + parsing pipeline. Confection, our battle-tested config system for Python, can now easily be included in any Python project without having to install Thinc. In spaCy v3.3, We’ve also added support for spaCy v3.4

NLP 59

NLP Explainability Python Data Scientist 59

Mlearning.ai

JULY 17, 2023

His passion is using Python to design and implement new brain-driven algorithms and models in machine learning and artificial intelligence. Reach out to me Use the links below to check out my other content, learn more about tutoring, reach out to me about projects, or just to say hi. a consulting firm for brain-inspired data science.

Neural Network 52

Neural Network Convolutional Neural Networks Machine Learning Data Scientist 52

Viso.ai

DECEMBER 20, 2023

CVAT stands for Computer Vision Annotation Tool ; it is a free, open-source digital image animation tool written in Python and JavaScript. The CVAT development team at Intel used the Python module of a library to convert DICOM files to regular images. The software tool recently gained high popularity among regular and commercial users.

Computer Vision 98

Computer Vision Deep Learning Neural Network Automation 98