Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). ” Hallucinations occur when an LLM generates plausible-sounding information but […] The post AI’s Biggest Flaw Hallucinations Finally Solved With KnowHalu! .”

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Analytics Vidhya

AUGUST 17, 2023

Introduction spaCy is a Python library for Natural Language Processing (NLP). Developers use it to create information extraction and natural language comprehension systems, as in Cython. NLP pipelines with spaCy are free and open source. Use the tool for production, boasting a concise and user-friendly API.

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Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). Transformers, a type of Deep Learning model, have played a crucial role in the rise of LLMs.

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Towards AI

NOVEMBER 19, 2023

This technique is more useful in the field of computer vision and natural language processing (NLP) because of large data that has semantic information. What is the issue of training deep learning models from scratch? It needs a lot of labeled data that takes more time and effort if not available publicly.It

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Data Science Blog

MAY 22, 2023

Vektor-Datenbanken sind ein weiterer Typ von Datenbank, die unter Einsatz von AI (Deep Learning, n-grams, …) Wissen in Vektoren übersetzen und damit vergleichbarer und wieder auffindbarer machen. Jede Dimension in einem Vektor repräsentiert eine Art von Information oder Merkmal.

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Data Science Dojo

DECEMBER 8, 2023

Large language models (LLMs) have revolutionized the field of natural language processing (NLP), enabling machines to generate human-quality text, translate languages, and answer questions in an informative way. It encompasses tasks like machine translation, text summarization, and sentiment analysis.

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Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. We will explain intuitively what each one means and how it contributes to the deep learning process.

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Dataconomy

APRIL 25, 2023

By using a set of predefined rules to process information and provide solutions, these systems have become an essential tool for solving complex problems in various fields, from healthcare and finance to manufacturing and logistics. Other approaches include machine learning, deep learning, and natural language processing.

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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. Deep Learning is when computers use their brains, called neural networks, to learn lots of things from a ton of information.

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Data Science Dojo

SEPTEMBER 8, 2023

We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions. AI provides engineers with a powerful toolset to make more informed decisions and enhance their interactions with the digital world. Streamline operations.

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Data Science Dojo

JUNE 10, 2024

Natural Language Processing (NLP): Data scientists are incorporating NLP techniques and technologies to analyze and derive insights from unstructured data such as text, audio, and video. This enables them to extract valuable information from diverse sources and enhance the depth of their analysis.

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Data Science Dojo

MAY 27, 2024

A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. This breakthrough has profound implications for drug development, as understanding protein structures can aid in designing more effective therapeutics.

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Data Science Dojo

DECEMBER 8, 2023

7 Steps to Mastering Large Language Models (LLMs) Large language models (LLMs) have revolutionized the field of natural language processing (NLP), enabling machines to generate human-quality text, translate languages, and answer questions in an informative way.

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Data Science Dojo

JANUARY 31, 2024

It is an AI framework and a type of natural language processing (NLP) model that enables the retrieval of information from an external knowledge base. It ensures that the information is more accurate and up-to-date by combining factual data with contextually relevant information.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems.

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Data Science Dojo

APRIL 11, 2023

With millions of viewers and subscribers tuning in daily, these channels offer informative and engaging content on the latest tech trends, innovations in AI, big data challenges, and analytics trends to look out for. is an education technology company founded by Andrew Ng, a prominent figure in the world of AI and machine learning.

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Figure 2 ). Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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Pickl AI

NOVEMBER 24, 2024

Summary: Autoencoders are powerful neural networks used for deep learning. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. By the end, you’ll understand why autoencoders are essential tools in Deep Learning and how they can be applied across different fields.

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Data Science Dojo

NOVEMBER 18, 2023

and other large language models (LLMs) have transformed natural language processing (NLP). Learning about LLMs is essential in today’s fast-changing technological landscape. But what if we could use deep learning to revolutionize search?

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Dataconomy

FEBRUARY 6, 2024

AI and machine learning are constantly being developed, streamlining our processes and increasing productivity, thanks to funding and innovative thinking. The crucial role of AI and ML in the IT industry Information technology allows computers to perform various tasks, such as storing, transmitting, retrieving, and manipulating data.

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Hacker News

DECEMBER 22, 2023

Here, we exploit this similarity to adapt innovations from natural language processing to examine the evolution and predictability of human lives based on detailed event sequences. Using methods for interpreting deep learning models, we probe the algorithm to understand the factors that enable our predictions.

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Data Science Dojo

OCTOBER 27, 2023

Data Science Dojo Large Language Models Bootcamp The Data Science Dojo Large Language Models Bootcamp is a 5-day in-person bootcamp that teaches you everything you need to know about large language models (LLMs) and their real-world applications. The application process includes a short interview.

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Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

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Smart Data Collective

DECEMBER 1, 2022

The Growth of Natural Language Processing. Natural language processing is one of the most popular trends in big data. Natural language processing uses various algorithms to read, decode, and comprehend human speech. Strong Reliance On Cloud Storage.

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ODSC - Open Data Science

APRIL 28, 2023

If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. Each has a single representation for the word “well”, which combines the information for “doing well” with “wishing well”. In this post, I’ll be demonstrating two deep learning approaches to sentiment analysis.

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Data Science Dojo

JULY 26, 2023

AI’s remarkable language capabilities, driven by advancements in Natural Language Processing (NLP) and Large Language Models (LLMs) like ChatGPT from OpenAI, have contributed to its popularity. It has over 1 trillion parameters, making it one of the largest language models ever created.

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Pickl AI

NOVEMBER 27, 2024

Summary: Gated Recurrent Units (GRUs) enhance Deep Learning by effectively managing long-term dependencies in sequential data. Their applications span various fields, including natural language processing, time series forecasting, and speech recognition, making them a vital tool in modern AI.

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Dataconomy

MAY 29, 2023

In their quest for effectiveness and well-informed decision-making, businesses continually search for new ways to collect information. QR codes can contain a huge amount of information, such as text, URLs, contact details, and more. In the realm of AI and ML, QR codes find diverse applications across various domains.

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Data Science Dojo

JUNE 11, 2024

These include image recognition, natural language processing, autonomous vehicles, financial services, healthcare, recommender systems, gaming and entertainment, and speech recognition. Recurrent Neural Networks (RNNs) RNNs belong to the category of deep neural networks.

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Dataconomy

JUNE 21, 2023

While delivering a wide range of services, including information, entertainment, and customer service, chatbots are immensely advantageous. Here are a few risks associated with AI chatbots: Security Privacy Ethical Social Unsecured or unregulated chatbots pose a risk to the private or sensitive information of individuals or businesses.

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Dataconomy

JUNE 16, 2023

The cloud-based DLP solution from Gamma AI uses cutting-edge deep learning for contextual perception to achieve a data classification accuracy of 99.5%. ” Read the text and put your information in empty boxes. They do this by utilizing machine learning and natural language processing.

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Data Science Dojo

SEPTEMBER 11, 2023

From virtual assistants like Siri and Alexa to personalized recommendations on streaming platforms, chatbots, and language translation services, language models surely are the engines that power it all. First Generation: Early language models used simple statistical techniques like n-grams to predict words based on the previous ones.

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Data Science Dojo

JUNE 18, 2024

This technology, known as natural language processing (NLP), enables chatbots to interact with customers in a conversational manner, providing instant and personalized support. These systems aid in mitigating environmental impacts and preserving ecosystems by providing accurate and timely information to decision-makers.

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Dataconomy

DECEMBER 4, 2023

They are designed to mimic the brain’s ability to process information efficiently and with low power consumption, making them a promising solution for the demanding computational needs of AI tasks. Reduced latency NPUs offer lower latency compared to CPUs and GPUs, meaning they can process data and produce results more quickly.

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DrivenData Labs

MAY 18, 2023

I work on machine learning for natural language processing, and I’m particularly interested in few-shot learning, lifelong learning, and societal and health applications such as abuse detection, misinformation, mental ill-health detection, and language assessment.

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Dataconomy

APRIL 27, 2023

An AI computer, also known as an artificial intelligence computer, is a computer system that is specifically designed to perform tasks that would typically require human intelligence, such as reasoning, problem-solving, and learning. They can also switch between different tasks and learn from new data.

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Data Science Dojo

JULY 18, 2023

Popularly known as the brains behind Chat GPT, Large Language Models are advanced artificial intelligence systems capable of understanding and generating human language. They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses.

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