ODSC - Open Data Science

SEPTEMBER 15, 2023

Through its proficient understanding of language and patterns, it can swiftly navigate and comprehend the data, extracting meaningful insights that might have remained hidden by the casual viewer. With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field.

Data Analysis 96

Data Analysis Generative AI Data Science AI 96

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 Many data we analyze as data scientists consist of a corpus of human-readable text.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Machine Learning 52

ODSC - Open Data Science

OCTOBER 27, 2023

We will specifically focus on the two most common uses: template-based normalized key-value entity extractions and document Q&A, with large language models. Template-based normalized extractions In almost all IDP use cases, the data extracted is eventually sent to a downstream system for further processing or analytics.

IDP 98

IDP LLM Large Language Models AI 98

ODSC - Open Data Science

FEBRUARY 15, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. million human-written instructions for self-driving cars.

Large Language Models 52

Large Language Models LLM Data Science Robotics 52

Pragnakalp

APRIL 29, 2024

We’ll need to provide the chunk data, specify the embedding model used, and indicate the directory where we want to store the database for future use. Q1: Which are the 2 high focuses of data science? A1: The two high focuses of data science are Velocity and Variety, which are characteristics of Big Data.

Deep Learning 59

Deep Learning Big Data Data Science LLM 59

AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP pipeline usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. It is crucial to pursue a metrics-driven strategy that emphasizes the quality of data extraction at the field level, particularly for high-impact fields.

IDP 99

IDP Data Extraction Machine Learning ML 99

AWS Machine Learning Blog

MAY 21, 2024

It combines text, table, and image (including chart) data into a unified vector representation, enabling cross-modal understanding and retrieval. These embeddings represent textual and visual data in a numerical format, which is essential for various natural language processing (NLP) tasks.

Natural Language Processing 117

Natural Language Processing ML Metadata NLP 117

ODSC - Open Data Science

OCTOBER 25, 2024

Focusing on multiple myeloma (MM) clinical trials, SEETrials showcases the potential of Generative AI to streamline data extraction, enabling timely, precise analysis essential for effective clinical decision-making. Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai

Data Scientist 52

Data Scientist Software Engineer Automation Machine Learning 52

Mlearning.ai

JANUARY 17, 2024

The field of NLP, in particular, has experienced a significant transformation due to the emergence of Large Language Models (LLMs). An interesting approach One algorithm of note focuses on topic classification by employing data compression algorithms. Photo by nadi borodina on Unsplash We live in interesting times.

NLP 52

NLP Algorithm Neural Network Large Language Models 52

Heartbeat

MAY 15, 2023

Image Pre-processing When the image is loaded using the imread() method from a specified path, there are a series of pre-processing tasks performed on it to make it ready for data extraction which are as follows: i) Rescaling : Reduces the number of pixels from an image. def resize(image): return cv2.resize(image,None,

Python 52

Python Data Extraction Deep Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

IDP 95

IDP Automation Machine Learning ML 95

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? Gideon Mann: To your point about data-centric AI and the commoditization of LLMs, when I look at what’s come out of open-source and academia, and the people working on LLMs, there has been amazing progress in making these models easier to use and train.

Large Language Models 64

Large Language Models NLP Prompt Engineering Prompt Engineer 64

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? Gideon Mann: To your point about data-centric AI and the commoditization of LLMs, when I look at what’s come out of open-source and academia, and the people working on LLMs, there has been amazing progress in making these models easier to use and train.

Large Language Models 59

Large Language Models NLP Prompt Engineering Prompt Engineer 59

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? Gideon Mann: To your point about data-centric AI and the commoditization of LLMs, when I look at what’s come out of open-source and academia, and the people working on LLMs, there has been amazing progress in making these models easier to use and train.

Large Language Models 52

Large Language Models NLP Prompt Engineering Prompt Engineer 52

AWS Machine Learning Blog

MAY 7, 2024

Whether you’re looking to classify documents, extract keywords, detect and redact personally identifiable information (PIIs), or parse semantic relationships, you can start ideating your use case and use LLMs for your natural language processing (NLP). It consists of several Jupyter notebooks and a utils.py

Prompt Engineer 112

Prompt Engineer Prompt Engineering Large Language Models LLM 112

AWS Machine Learning Blog

NOVEMBER 21, 2024

Using the PACE-Way (an Amazon-based development approach), the team developed a time-boxed prototype over a maximum of 6 weeks, which included a full stack solution with frontend and UX, backed by specialist expertise, such as data science, tailored for VW’s needs.

AI 65

AI AI Generative AI NLP 65

Pickl AI

SEPTEMBER 23, 2024

Unlike traditional Machine Learning, Deep Learning models automatically discover features without human intervention, making them highly effective in handling unstructured data like images, text, and audio. Each layer transforms the input data, extracting increasingly complex features.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Convolutional Neural Networks 52

Pickl AI

OCTOBER 3, 2024

Data Analysis Once data is collected, AI assistants employ Machine Learning techniques to analyse it. Natural Language Processing (NLP) Many AI Research Assistants use NLP to understand and interpret human language.

AI Researcher 52

AI Researcher AI Research Natural Language Processing Machine Learning 52

AWS Machine Learning Blog

OCTOBER 20, 2023

Solution overview To personalize users’ feeds, we analyzed extensive historical data, extracting insights into features that include browsing patterns and interests. Model training Meesho used Amazon EMR with Apache Spark to process hundreds of millions of data points, depending on the model’s complexity.

Data Scientist 110

Data Scientist NLP ML Machine Learning 110

Dlabs.ai

DECEMBER 6, 2022

Sounds crazy, but Wei Shao (Data Scientist at Hortifrut) and Martin Stein (Chief Product Officer at G5) both praised the solution. They also offer courses for specific skills, inlcluding data science. 5 Location: Kraków, Poland Numlabs are a team of ML, data, and computer vision specialists. Numlabs Clutch rating: 4.9/5

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Computer Vision Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 18, 2024

MSD collaborated with AWS Generative Innovation Center (GenAIIC) to implement a powerful text-to-SQL generative AI solution that streamlines data extraction from complex healthcare databases. MSD employs numerous analysts and data scientists who analyze databases for valuable insights. He received a Ph.D.

LLM 94

LLM Generative AI Data Science Data Scientist 94