Towards AI

DECEMBER 28, 2023

GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data science, I’ve witnessed significant transformations. Expand your skillset by… courses.analyticsvidhya.com 2.

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Data Science Dojo

SEPTEMBER 8, 2023

AI encompasses the creation of intelligent machines capable of autonomous decision-making, while Predictive Analytics relies on data, statistics, and machine learning to forecast future events accurately. Read more –> Data Science vs AI – What is 2023 demand for?

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

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ODSC - Open Data Science

JUNE 9, 2023

Once a set of word vectors has been learned, they can be used in various natural language processing (NLP) tasks such as text classification, language translation, and question answering. GPT-1 (2018) This was the first GPT model and was trained on a large corpus of text data from the internet.

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Data Science Dojo

SEPTEMBER 13, 2023

Deep learning And NLP Deep Learning and Natural Language Processing (NLP) are like best friends in the world of computers and language. Building Chatbots involves creating AI systems that employ deep learning techniques and natural language processing to simulate natural conversational behavior.

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ODSC - Open Data Science

AUGUST 31, 2023

The data set only helps it if it’s well-trained and supervised. A Mongolian pharmaceutical company engaged in a pilot study in 2018 to detect fake drugs, an initiative with the potential to save hundreds of thousands of lives. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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ODSC - Open Data Science

MARCH 6, 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. She is currently part of the Artificial Intelligence Practice at Avanade.

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Towards AI

JULY 19, 2023

John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 mlpen/Nystromformer Transformers have emerged as a powerful workhorse for a broad range of natural language processing tasks. The Vision of St. Heartbreaker Hey Welcome back! Connected Papers ?

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AWS Machine Learning Blog

OCTOBER 5, 2023

His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. Dr. Huan works on AI and Data Science. He focuses on developing scalable machine learning algorithms. He founded StylingAI Inc.,

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Dataconomy

SEPTEMBER 4, 2023

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data. Poor data integration can lead to inaccurate insights.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. BERT can be fine-tuned for a variety of NLP tasks, including question answering, natural language inference, and sentiment analysis.

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Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018.

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Chatbots Life

MAY 16, 2023

Deeper Insights has six years of experience in building AI solutions for large enterprise and scale-up clients, a suite of AI models, and data visualization dashboards that enable them to quickly analyze and share insights. Generative AI integration service : proposes to train Generative AI on clients data and add new features to products.

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Flipboard

JULY 10, 2023

By using our mathematical notation, the entire training process of the autoencoder can be written as follows: Figure 2 demonstrates the basic architecture of an autoencoder: Figure 2: Architecture of Autoencoder (inspired by Hubens, “Deep Inside: Autoencoders,” Towards Data Science , 2018 ).

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AWS Machine Learning Blog

FEBRUARY 29, 2024

We also note that our models primarily work well for search, recommendation, and natural language processing tasks that typically feature large, high-dimensional output spaces and a requirement of extremely low inference latency. In 2018, Science news named him one of the Top-10 scientists under 40 to watch.

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Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately?

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IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018.

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AWS Machine Learning Blog

AUGUST 7, 2023

AWS received about 100 samples of labeled data from the customer, which is a lot less than the 1,000 samples recommended for fine-tuning an LLM in the data science community. Han Man is a Senior Data Science & Machine Learning Manager with AWS Professional Services based in San Diego, CA.

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Towards AI

JULY 21, 2023

John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 mlpen/Nystromformer Transformers have emerged as a powerful workhorse for a broad range of natural language processing tasks. The Vision of St. Heartbreaker Hey Welcome back! Connected Papers ?

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AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). He got his masters from Courant Institute of Mathematical Sciences and B.Tech from IIT Delhi.

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Heartbeat

JANUARY 29, 2024

Imagine an AI system that becomes proficient in many tasks through extensive training on each specific problem and a higher-order learning process that distills valuable insights from previous learning endeavors. Natural Language Processing: With Meta-Learning, language models can be generalized across various languages and dialects.

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Dataconomy

MARCH 15, 2023

Here are some examples of what multimodal AI can do: Speech recognition: Multimodal AI can understand and transcribe spoken language, allowing it to interact with users through voice commands and natural language processing.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. He is broadly interested in Deep Learning and Natural Language Processing. Label smoothing steers the annotated coverage class slightly towards the remaining classes.

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AWS Machine Learning Blog

JUNE 5, 2023

In this post, we show you how to train the 7-billion-parameter BloomZ model using just a single graphics processing unit (GPU) on Amazon SageMaker , Amazon’s machine learning (ML) platform for preparing, building, training, and deploying high-quality ML models. BloomZ is a general-purpose natural language processing (NLP) model.

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Explosion

MAY 17, 2023

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them?

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Explosion

DECEMBER 28, 2019

Mar 25: Towards the end of the month, Ines had the honor to be a guest at WiDS (Women in Data Science) Poznań , where she talked practical transfer learning for NLP. We had already decided at the end of 2018 that we wanted to do this and after seven months of planning and hard work, we couldn’t have been happier with the result.

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Heartbeat

MARCH 15, 2023

But now, a computer can be taught to comprehend and process human language through Natural Language Processing (NLP), which was implemented, to make computers capable of understanding spoken and written language. We’re committed to supporting and inspiring developers and engineers from all walks of life.

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Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group.

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Pickl AI

DECEMBER 2, 2024

Introduction In today’s digital age, the volume of data generated is staggering. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018.

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Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models.

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Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models.

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Pickl AI

OCTOBER 1, 2024

Read More: Top 7 Generative AI Use Cases and Application Hugging Face Hugging Face is a New York-based AI research company that is best known for its work on open-source natural language processing (NLP) models.

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DrivenData Labs

FEBRUARY 3, 2025

Most solvers were data science professionals, professors, and students, but there were also many data analysts, project managers, and people working in public health and healthcare. I love participating in various competitions involving deep learning, especially tasks involving natural language processing or LLMs.

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ODSC - Open Data Science

FEBRUARY 24, 2025

In the rapidly developing fields of AI and data science, innovation is constant, and constantly advances by leaps and bounds. a company dedicated to democratizing AI technology, which was recognized as a World Economic Forum Technology Pioneer in 2018. The long wait is over! Beyond academia, Prof. Xing co-founded Petuum Inc.,

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