Heartbeat

FEBRUARY 9, 2023

One can build NLP projects in different ways, and one of those is by using the Python library S paCy. Image from: [link] With SpaCy, you may use a pipeline to transform the raw text into the final Doc, and enabling you to add additional pipeline components to your NLP library and respond to user input. from spacy.lang.en 1 NUM 4.

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AssemblyAI

AUGUST 15, 2023

That's why we contributed its own integration to LangChain.js project Next, if you don't already have a Node.js project Next, if you don't already have a Node.js Install typescript and initialize your TypeScript project: npm install --save-dev typescript npx tsc --init Create a file named index.ts

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ODSC - Open Data Science

APRIL 28, 2023

Raw text is fed into the Language object, which produces a Doc object. Docs are composed of Spans, which are made up of individual Tokens. Docs, Spans and Tokens all have attributes such as “vector” which correspond to the customized components. We’ll be mainly using the “.cats”

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Becoming Human

JUNE 14, 2023

Unleash the Power of ChatGPT to Do (Useful) Things In this technical article, we will explore how to leverage the ChatGPT 4 API along with Google Meet, Google Drive, and Google Docs APIs to automatically generate meeting minutes. A link to my GitLab containing the full Python/Dash source code is also available on the next sections.

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Heartbeat

MAY 9, 2023

labels_ = {} for index, key in enumerate(categories): labels_[key] = index Step 4: Convert to spaCy Data Format and Save to Disk We need to convert the text and tags to clean SpaCy Doc Objects. Check out the project here. small_train_dataset = ds["train"].shuffle(seed=34).take(5000) shuffle(seed=34).take(5000) shuffle(seed=34).take(1000)

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Ocean Protocol

DECEMBER 6, 2023

We look forward to seeing your groundbreaking projects and wish you happy holidays and the best of luck! This event provides a unique opportunity to contribute to the global data economy, with applications spanning healthcare, government, and more.

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Predictive Analytics Data Science Hypothesis Testing Data Scientist 59

Towards AI

JANUARY 11, 2024

Kedro revolves around three crucial concepts: Data catalog: the data catalog acts as a registry for all sources that the project can use to manage loading and saving data. Within a pipeline folder pipeline_name, two essential files are present: nodes.py: contains node functions contributing to data processing.

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The MLOps Blog

DECEMBER 28, 2022

As per a report by McKinsey , AI has the potential to contribute USD 13 trillion to the global economy by 2030. Having generalists early on in the team-building phase helps in formulating the business problem and gives rise to the need for a range of skills that are needed for the project later on.

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ML ML Data Scientist Machine Learning 78

Explosion

JULY 6, 2021

The new [training.annotating_components] config setting lets you specify pipeline components that should set annotations on the predicted docs during training. Thanks to Carlos Rodríguez Penagos and the Barcelona Supercomputing Center for their contributions for Catalan and to Kenneth Enevoldsen for Danish. ca_core_news_md Catalan 98.3

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Heartbeat

APRIL 23, 2023

Since its initial release, SpaCy has become one of the most widely used and respected natural language processing libraries in the world, and it is known for its speed, accuracy, and ease of use, making it a popular choice for developers, data scientists, and researchers working on NLP projects. We pay our contributors, and we don’t sell ads.

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ODSC - Open Data Science

NOVEMBER 10, 2023

A data science project with Python, VS Code and GitHub Tools Let’s dive deep into some innovative GitHub tools and features that can improve the productivity of your data science workflow. README.md`- placeholder file containing the documentation for the project. In this post, we will show you these advancements in action.

Data Science 52

Data Science Python Data Scientist Data Visualization 52

IBM Journey to AI blog

NOVEMBER 2, 2023

According to a Cloud Native Computing Foundation (CNCF) report (link resides outside ibm.com), Kubernetes is the second largest open-source project in the world after Linux and the primary container orchestration tool for 71% of Fortune 100 companies. ” The Borg name fit the Google project well.

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ODSC - Open Data Science

FEBRUARY 22, 2024

NVIDIA Launches, RTX, Personalized GPT Models With RTX, NVIDIA is allowing users to create their very own GPT LLM model based on their own files, such as docs and photos. In this interview, we’ll discuss what low-code and no-code AI is, how these topics can make AI more inclusive, and some examples of how to make it work in the real world.

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Hacker News

MARCH 1, 2023

I’m using a word processor with the core features and functions of Microsoft Word, Google Docs, or LibreOffice’s Writer, along with an email client that could be mistaken for a simplified version of Apple Mail, Microsoft Outlook, or Mozilla Thunderbird. It was built to tuck under a desk, with its monitor, keyboard, and mouse on top.

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Hacker News

MARCH 14, 2023

Big energy companies expect action whenever there is a move to end drilling leases for federal lands, in exchange for the tens of millions they contribute to congressional reelection campaigns. Second, you need to do an impact assessment to project the implications of that change for the short- or long-range financial interests of companies.

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The MLOps Blog

JANUARY 24, 2024

Watch the product demo Check the docs See in app Full screen preview How to log PyMC and Arviz artifacts on Neptune We will start by visiting app.neptune.ai , registering there, and following their instructions for creating a new project. (If As a next step, if you want more info about Neptune, a great starting point is their docs.

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Heartbeat

FEBRUARY 29, 2024

import os import dotenv import time # Load environment variables from a.env file dotenv.load_dotenv() # Retrieve OpenAI and Comet key from environment variables MY_OPENAI_KEY = os.getenv("MY_OPENAI_KEY") MY_COMET_KEY = os.getenv("MY_COMET_KEY") In my LLM Project, I usually record outputs in a Comet Project.

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Ines Montani

MAY 9, 2017

It’s frustrating for maintainers of private projects, who end up overwhelmed by the flood of bug reports and often demanding support requests. And it’s frustrating for users, who keep getting told to “submit a PR or shut up”, and are struggling to decide which project to adopt and trust. Community “Let’s make a thing together.”

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Natural Language Processing Deep Learning Deep Learning Python 52

DrivenData Labs

DECEMBER 10, 2023

Team / participant Features Models Data sources NASAPalooza Paper search, paper recommendation, doc upload, paper summarization, chatbot, people search, keyword extraction, topic trends, dataset analysis GPT-3.5 He has demonstrated his powerful contribution by obtaining a patent in the field of AI. bge-small-en-v1.5

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Explosion

MARCH 17, 2019

Most NLP projects are easier if you have a way to train models on exactly your data. We’ve fixed almost every outstanding bug on the tracker, given the docs a huge makeover, improved both speed and accuracy, made installation significantly easier and faster, and developed some exciting new features. average was 2 lbs.")

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Explosion

JANUARY 12, 2018

Funded 120% of company and personal expenses through consulting projects. Introduced new system for extending Doc , Span and Token objects with custom attributes. improved our build and test infrastructure, and made huge improvements to the docs. Currently missing Windows support – contributions welcome! spacymoji ???

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Heartbeat

MAY 31, 2023

Please see Comet docs to understand how to integrate Comet with PyTorch. pip install comet_ml Import the required libraries for the project: import torch import torch.nn pip install comet_ml Import the required libraries for the project: import torch import torch.nn Replace vae-project with the name of your project.

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ML ML Deep Learning Deep Learning 52

The MLOps Blog

SEPTEMBER 7, 2023

Uncover tricks and strategies that contribute to maintaining the reliability of your findings. Best practices for building ETLs for ML Best practices for building ETLs for ML | Source: Author The significance of ETLs in machine learning projects Exploring a pivotal facet of every machine learning endeavor: ETLs.

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Machine Learning Machine Learning ETL ML 52

AWS Machine Learning Blog

MAY 23, 2023

We provide an overview of the code in this project in the appendix at the end of this post. Set up a virtual environment This project is set up like a standard Python project. You can now build your generative AI projects using pre-trained AI models in JumpStart. Deploy the AWS CDK application. or later node.js

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The MLOps Blog

NOVEMBER 14, 2023

For instance, deep learning researchers often delve into intricate architectural blueprints to uncover the contributions of different model parts to its performance. This allows us, for example, to identify regions of the network that rarely contribute to the model’s output and might be pruned without affecting its performance.

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Heartbeat

APRIL 17, 2023

Use Comet to track your metrics, hyper-parameters, and models for your spaCy project! startup for $5 billion" doc = nlp(text) Next, you can access the named entities in the text using the ents property of the doc object. If you’d like to contribute, head on over to our call for contributors.

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Natural Language Processing Support Vector Machines Machine Learning Machine Learning 52

Heartbeat

JANUARY 24, 2023

The first cell will include Comet ML’s library call and an init method that would initialize the project: import comet_ml #Similar to the initialization of a study in Optuna comet_ml.init(project_name="xgboost") Running this will then ask you for an API key that you will copy from the user settings as highlighted in the docs.

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ML ML Algorithm Machine Learning 52

Tableau

JANUARY 26, 2022

Prioritize data literacy: It’s critical as leaders to create and prioritize time and space for people to participate in training, projects, and infrastructure work. IDC WHITEPAPER, SPONSORED BY TABLEAU, HOW DATA CULTURE FUELS BUSINESS VALUE IN DATA-DRIVEN ORGANIZATIONS , DOC. US47605621, MAY 2021.

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Analytics Analytics Tableau Data Scientist 98

Tableau

JANUARY 26, 2022

Prioritize data literacy: It’s critical as leaders to create and prioritize time and space for people to participate in training, projects, and infrastructure work. IDC WHITEPAPER, SPONSORED BY TABLEAU, HOW DATA CULTURE FUELS BUSINESS VALUE IN DATA-DRIVEN ORGANIZATIONS , DOC. US47605621, MAY 2021.

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Analytics Analytics Tableau Data Scientist 98

Explosion

JUNE 15, 2020

Details can be found in the Chinese docs. More details are in the Japanese docs. You can find the code and data in our growing projects repository. The series lets you sit beside Vincent as he works through an example data science project using spaCy. Language Model Size TAG UAS LAS ENTS F Chinese zh_core_web_sm 45 MB 89.63

Clustering 52

Clustering Natural Language Processing Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 28, 2024

chunk_size=1000, chunk_overlap=100, ) docs = text_splitter.split_documents(documents) retriever = FAISS.from_documents( docs, sagemaker_embeddings, ).as_retriever() Its ability to scale operations quickly, as seen in the rapid expansion of its fulfillment and transportation networks, also contributes to its success.

AWS 106

AWS Machine Learning Machine Learning AI 106

Tableau

MARCH 23, 2022

Even Zeotap’s executives can better understand which products and segments contribute the most revenue and make more informed decisions about cross-selling and upselling strategies. IDC White Paper, sponsored by Tableau, How Data Culture Fuels Business Value in Data-Driven Organizations, Doc. Start a free trial of Tableau today.

Analytics 83

Analytics Analytics Tableau Predictive Analytics 83

The MLOps Blog

JANUARY 19, 2024

Hands-on: fine-tuning and selecting an LLM for Brazilian Portuguese In this project, we’re taking on the challenge of fine-tuning three LLMs: GPT-2 , GPT2-medium , GPT2-large , and OPT 125M. This integration was contributed by Neptune’s developers, who maintain it to this day.

Natural Language Processing 52

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Mlearning.ai

APRIL 10, 2023

Yet, this project extends these models capability. Installation To install and run the Cat is pretty straightforward and already explained in the doc. Tips from my experience Here a couple of tips for possible issues: The project is still in its early stages and the developers are often committing changes to the repository.

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The MLOps Blog

JUNE 27, 2023

To provide you with a comprehensive overview, this article explores the key players in the MLOps and FMOps (or LLMOps) ecosystems, encompassing both open-source and closed-source tools, with a focus on highlighting their key features and contributions. Netflix runs hundreds to thousands of ML projects on Metaflow—that’s how scalable it is.

Machine Learning 134

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Ocean Protocol

DECEMBER 28, 2023

These challenges are not just competitions; they are opportunities for data scientists to contribute to and shape the future of data use cases in analytics and machine learning, build their portfolios. This also fosters an environment where data scientists thrive and contribute significantly to the advancement of the New Data Economy.

Data Scientist 52

Data Scientist AI AI Data Analysis 52

Tableau

MARCH 23, 2022

Even Zeotap’s executives can better understand which products and segments contribute the most revenue and make more informed decisions about cross-selling and upselling strategies. IDC White Paper, sponsored by Tableau, How Data Culture Fuels Business Value in Data-Driven Organizations, Doc. Start a free trial of Tableau today.

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Analytics Analytics Tableau Predictive Analytics 54