Dataconomy

JUNE 23, 2017

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks.

Machine Learning 195

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Towards AI

MARCH 4, 2023

Over multiple articles, we will be discussing the key highlights from the paper and learn why Prompting is considered to be “The Second Sea Change in NLP”. Fully-Supervised Learning (Non-Neural Network) — powered by — Feature Engineering Supervised learning required input-output examples to train the model.

Supervised Learning 98

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Dataconomy

APRIL 18, 2023

In this article, we’ll explore some of the fundamental concepts in artificial intelligence, from supervised and unsupervised learning to bias and fairness in AI. Machine learning techniques can be broadly classified into three categories: supervised learning, unsupervised learning, and reinforcement learning.

Artificial Intelligence 113

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Dataversity

DECEMBER 16, 2022

2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning. Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements.

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Towards AI

JULY 23, 2023

In the first part of the series, we talked about how Transformer ended the sequence-to-sequence modeling era of Natural Language Processing and understanding. In this article, we aim to focus on the development of one of the most powerful generative NLP tools, OpenAI’s GPT. Let’s see it step by step.

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Dataconomy

AUGUST 21, 2023

At its core, a Large Language Model (LLM) is a sophisticated machine learning entity adept at executing a myriad of natural language processing (NLP) activities. This includes tasks like text generation, classification, engaging in dialogue, and even translating text across languages. What is LLM in AI?

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Hacker News

MAY 3, 2023

In this article we give a comprehensive overview of what’s really going on in the world of Language Models, building from the foundational ideas, all the way to the latest advancements. Fine-tuning may involve further training the pre-trained model on a smaller, task-specific labeled dataset, using supervised learning.

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Pickl AI

NOVEMBER 13, 2024

The answer lies in the various types of Machine Learning, each with its unique approach and application. In this blog, we will explore the four primary types of Machine Learning: Supervised Learning, UnSupervised Learning, semi-Supervised Learning, and Reinforcement Learning.

Machine Learning 52

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Becoming Human

MAY 11, 2023

Empowering Startups and Entrepreneurs | InvestBegin.com | investbegin The success of ChatGPT can be attributed to several key factors, including advancements in machine learning, natural language processing, and big data. NLP is a field of AI that focuses on enabling computers to understand and process human language.

Artificial Intelligence 83

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ODSC - Open Data Science

AUGUST 29, 2023

Natural Language Processing Engineer Natural Language Processing Engineers who specialize in prompt engineering are linguistic architects when it comes to AI communication. As AI models become more sophisticated and versatile, the demand for tailored, context-aware interactions grows. Get your pass today !

Natural Language Processing 98

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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?

Supervised Learning 135

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Dataconomy

MAY 25, 2023

In the subsequent sections of this article, we will explore the challenges and limitations associated with artificial intelligence in IoT, as well as the key technologies and techniques driving this convergence. These advantages have a transformative impact across various industries and domains.

Internet of Things 160

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Towards AI

JANUARY 7, 2025

Image by Author In this article, well explore the process of fine-tuning language models for text classification. Introduction The idea behind using fine-tuning in Natural Language Processing (NLP) was borrowed from Computer Vision (CV). Author(s): Ehssan Originally published on Towards AI.

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Hacker News

MARCH 25, 2022

Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.

Machine Learning 182

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Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved. What is required to build an AI system?

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How to Learn Machine Learning

MAY 14, 2023

This is because machine learning has evolved into a driving force for various industries such as finance, healthcare, marketing, and many more. Machine learning engineers are in high demand, and the pursuit of a career in this field can be both personally and financially rewarding. The Machine Learning Engineer Career Path 1.

Machine Learning 52

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ODSC - Open Data Science

SEPTEMBER 19, 2023

Depending on the position, and company, it can require a strong understanding of natural language processing, computer science, linguistics, and software engineering. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

Data Science 98

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Flipboard

DECEMBER 6, 2023

Tools like LangChain , combined with a large language model (LLM) powered by Amazon Bedrock or Amazon SageMaker JumpStart , simplify the implementation process. For example, “You are given the following article about Artificial Intelligence and its role in Healthcare: [input text].”

AWS 167

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How to Learn Machine Learning

MAY 2, 2025

Images and Computer Vision : The platform supports deep learning models for image classification, object detection, and segmentation using frameworks like TensorFlow and PyTorch. Text and NLP : Natural language processing tasks such as sentiment analysis, named entity recognition, and text classification are well-supported.

Azure 52

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Mlearning.ai

APRIL 21, 2023

Text annotation Text annotation is the process of adding structured information to unstructured text data in order to make it more understandable and useful for downstream applications. The resulting annotated text data can then be used to train and improve the accuracy of LLM models for specific natural language processing tasks.

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ODSC - Open Data Science

FEBRUARY 14, 2023

ChatGPT is a next-generation language model (referred to as GPT-3.5) They are designed to understand and generate human-like language by learning from a large dataset of texts, such as books, articles, and websites. One of the key features of large language models is their ability to generate human-like text.

Database 124

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IBM Journey to AI blog

JUNE 14, 2023

With a foundation model, often using a kind of neural network called a “transformer” and leveraging a technique called self-supervised learning, you can create pre-trained models for a vast amount of unlabeled data. Answer questions about an article or dynamic content.

AI 103

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Dataconomy

MARCH 27, 2023

Both have the potential to transform the way organizations operate, enabling them to streamline processes, improve efficiency, and drive business outcomes. In this article, we will explore the similarities and differences between RPA and ML and examine their potential use cases in various industries.

ML 133

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Becoming Human

MARCH 16, 2023

In this article, we will explore how AI drug discovery is changing the industry. How drugs are discovered The drug discovery process typically starts with scientists identifying a target in the body, such as a specific protein or hormone, that is involved in the disease. We will look at success stories, AI benefits, and limitations.

AI 139

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Mlearning.ai

MAY 12, 2023

Support Vector Machine: A Comprehensive Guide — Part1 Support Vector Machines (SVMs) are a type of supervised learning algorithm used for classification and regression analysis. I will cover only the first 5 subtopics in this article and will cover the rest in my next upcoming article. Thanks for reading this article!

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Pickl AI

MAY 29, 2024

Multi-Task Learning Deep Learning is a towering pillar in the vast landscape of artificial intelligence, revolutionising various domains with remarkable capabilities. Deep Learning algorithms have become integral to modern technology, from image recognition to Natural Language Processing.

Supervised Learning 52

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Pickl AI

JULY 17, 2023

Unsupervised Learning Algorithms Unsupervised Learning Algorithms tend to perform more complex processing tasks in comparison to supervised learning. However, unsupervised learning can be highly unpredictable compared to natural learning methods. Less accurate and trustworthy method.

Machine Learning 52

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ODSC - Open Data Science

NOVEMBER 8, 2023

Question-Answering Question-answering (QA) LLMs are a type of large language model that has been trained specifically to answer questions. They are trained on massive datasets of text and code, including text from books, articles, and code repositories. One common approach is to use supervised learning.

AI 52

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Pickl AI

AUGUST 7, 2023

Data Labelling is the process of adding meaning to different datasets ensuring that it can be used properly to train a Machine Learning model. Labeled data in Machine Learning is typically used in the case of Supervised Learning where the labeled data is input to a model. How does Data Labelling Work?

Machine Learning 52

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Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. GPT4 GPT-4 is the latest and most advanced artificial intelligence system for natural language processing from OpenAI.

K-nearest Neighbors 91

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Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. GPT4 GPT-4 is the latest and most advanced artificial intelligence system for natural language processing from OpenAI.

K-nearest Neighbors 91

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Pickl AI

FEBRUARY 7, 2025

This blog explores the difference between Machine Learning and Deep Learning , highlighting their unique characteristics, benefits, and challenges. This article aims to provide a clear comparison, helping you understand when to use Machine Learning and when to opt for Deep Learning based on specific needs and resources.

Deep Learning 52

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IBM Journey to AI blog

JULY 6, 2023

Natural language processing (NLP) and computer vision, which let companies automate tasks and underpin chatbots and virtual assistants such as Siri and Alexa, are examples of ANI. And online learning is a type of ML where a data scientist updates the ML model as new data becomes available.

Deep Learning 71

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Pickl AI

NOVEMBER 13, 2024

As the global Machine Learning market expands—valued at USD 35.80 This article explores the various methods, benefits, and applications of Data Augmentation in Machine Learning, highlighting its essential role in enhancing model performance and overcoming data limitations. billion in 2022 and projected to reach USD 505.42

Machine Learning 52

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Chatbots Life

MAY 12, 2023

There are many articles describing the possible use cases of ChatGPT, however, they rarely go into the details about how the model works or discuss its border implications. The second part of the article discusses the possible use cases of ChatGPT and their impact on respected industries.

AI 90

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Pickl AI

NOVEMBER 18, 2024

Summary: The blog provides a comprehensive overview of Machine Learning Models, emphasising their significance in modern technology. It covers types of Machine Learning, key concepts, and essential steps for building effective models. The global Machine Learning market was valued at USD 35.80 billion by 2031 at a CAGR of 34.20%.

Machine Learning 52

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Pickl AI

OCTOBER 24, 2024

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. While AI aims to replicate human intelligence across various domains, ML focuses on learning from data to improve performance.

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