Data Science Current

The ultimate LLM showdown begins

Dataconomy

FEBRUARY 9, 2024

These are sophisticated AI systems trained on colossal amounts of text data. month – includes Ultra access) ChatGPT Plus ($20/month – GPT-4, DALL-E, browsing); Teams; Enterprise API access Yes, Gemini Pro Yes, GPT-4 Turbo, GPT-4, GPT-3.5, ChatGPT and Gemini are both examples of large language models (LLMs).

AI

AI AI Artificial Intelligence Artificial Intelligence

spaCy v3's project and config systems are pretty great

Explosion

NOVEMBER 16, 2021

Machine Learning Engineers who turn prototypes into production-ready software face difficulties with the lack of tooling and best-practices. Back then, when I wanted to train my own NER model using spaCy v2, I’d write my own training loop. With spaCy v3, you don’t have to write your own training loop anymore.

Machine Learning

Machine Learning Machine Learning Python Data Preparation

Information extraction with LLMs using Amazon SageMaker JumpStart

AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. What makes LLMs so transformative, however, is their ability to achieve state-of-the-art results on these common tasks with minimal data and simple prompting, and their ability to multitask.

ML

ML ML Natural Language Processing AWS

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Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs

AWS Machine Learning Blog

NOVEMBER 29, 2023

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. Amazon SageMaker notebook jobs allow data scientists to run their notebooks on demand or on a schedule with a few clicks in SageMaker Studio. Note that the file shouldn’t have any header.

ML

ML ML Data Scientist Python

Snowpark ML: How to do Document Classification on Snowflake

phData

JANUARY 30, 2024

By “bringing the code to the data,” we’ve seen ML applications run anywhere from 4-100x faster than other architectures. Vector embeddings are a popular technique for working with unstructured data for Generative AI use cases. Preparing the Data We will use a BBC news articles dataset found on Kaggle. alias("ARR")).collect()

ML

ML ML Python Database

[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

Data Science

Data Science Decision Trees Deep Learning Deep Learning

Explatory Data Analysis Project On Retails

Mlearning.ai

APRIL 17, 2023

Without further ado, let’s dive in to our study… Photograph Via : Steven Yu | Pexels, Pixabay Hello, my previous work Analyzing and Visualizing Earthquake Data Received with USGS API in Python Environment I prepared a new work after 3 weeks. Now, I will be conducting an exploratory data analysis study. price: Unit price.

Data Analysis

Data Analysis Data Analysis Exploratory Data Analysis Data Visualization

Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL

SQL ML ML Python

Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL

SQL ML ML Python

Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. So, this roadmap to learning data science will help you to resolve all your queries.

Data Science

Data Science Machine Learning Machine Learning Database

Large language models: their history, capabilities and limitations

Snorkel AI

MAY 25, 2023

Data scientists and researchers train LLMs on enormous amounts of unstructured data through self-supervised learning. And, by pre-training BERT in a self-supervised manner on a wide variety of unstructured data, the researchers created a model rich with the understanding of relationships between words.

Natural Language Processing

Natural Language Processing Python Machine Learning Machine Learning

Large language models: their history, capabilities and limitations

Snorkel AI

MAY 25, 2023

Data scientists and researchers train LLMs on enormous amounts of unstructured data through self-supervised learning. And, by pre-training BERT in a self-supervised manner on a wide variety of unstructured data, the researchers created a model rich with the understanding of relationships between words.

Natural Language Processing

Natural Language Processing Python Machine Learning Machine Learning

Amazon Comprehend document classifier adds layout support for higher accuracy

AWS Machine Learning Blog

APRIL 19, 2023

Traditional categorization techniques, such as manual processing and keyword-based searches, become less efficient and more time-consuming as the volume of documents increases. This inefficiency causes lower productivity and higher operating expenses. We also need to prepare an annotations file in CSV format.

AWS

AWS Machine Learning Machine Learning ML

Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

MARCH 28, 2024

You can deploy this solution with just a few clicks using Amazon SageMaker JumpStart , a fully managed platform that offers state-of-the-art foundation models for various use cases such as content writing, code generation, question answering, copywriting, summarization, classification, and information retrieval. We use an ml.t3.medium

AWS

AWS Machine Learning Machine Learning AI

Healthsea: an end-to-end spaCy pipeline for exploring health supplement effects

Explosion

DECEMBER 14, 2021

Read about the journey of developing Healthsea, an end-to-end spaCy pipeline for analyzing user reviews to supplementary products and extracting their potential effects on health. ? Section 2: Understanding the problem 4.3 Data is everything 4.7 Healthsea Codebase spaCy v3 project with all training data and workflows ?

Clustering

Clustering Machine Learning Machine Learning Natural Language Processing

Against LLM maximalism

Explosion

MAY 17, 2023

The need to work with text or speech data somewhat intelligently is pretty fundamental. For instance, in most popular websites text is usually either a big part of the product (e.g. users write text to each other) or the input (e.g. We all spend a big part of our working lives writing, reading, speaking and listening.

Supervised Learning

Supervised Learning Natural Language Processing Clustering Machine Learning

Introducing spaCy v2.1

Explosion

MARCH 17, 2019

In this post, we highlight some of the things we’re especially pleased with, and explain some of the most challenging parts of preparing this big release. Most NLP projects are easier if you have a way to train models on exactly your data. Clearly, we couldn’t use a model such as BERT or GPT-2 directly. Devlin et al.

Python

Python Natural Language Processing Deep Learning Deep Learning

Data Science Current

The ultimate LLM showdown begins

spaCy v3's project and config systems are pretty great

Webinars

Trending Sources

Information extraction with LLMs using Amazon SageMaker JumpStart

Webinars

Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs

Snowpark ML: How to do Document Classification on Snowflake

[Updated] 100+ Top Data Science Interview Questions

Explatory Data Analysis Project On Retails

Snowflake Snowpark: cloud SQL and Python ML pipelines

Snowflake Snowpark: cloud SQL and Python ML pipelines

Roadmap to Learn Data Science for Beginners and Freshers in 2023

Large language models: their history, capabilities and limitations

Large language models: their history, capabilities and limitations

Amazon Comprehend document classifier adds layout support for higher accuracy

Advanced RAG patterns on Amazon SageMaker

Healthsea: an end-to-end spaCy pipeline for exploring health supplement effects

Against LLM maximalism

Introducing spaCy v2.1

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