Analytics Vidhya

MARCH 7, 2024

Introduction In artificial intelligence, particularly in natural language processing, two terms often come up: Perplexity and ChatGPT. While ChatGPT, developed by OpenAI, stands as a titan in conversational AI, “Perplexity” pertains more to a performance metric used in evaluating language models.

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Unite.AI

OCTOBER 27, 2024

The framework enables developers to build, train, and deploy machine learning models entirely in JavaScript, supporting everything from basic neural networks to complex deep learning architectures. Transformers.js, developed by Hugging Face, brings the power of transformer-based models directly to JavaScript environments.

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AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. 1.41%) (BRK.B

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Unite.AI

JANUARY 18, 2025

While Central Processing Units (CPUs) and Graphics Processing Units (GPUs) have historically powered traditional computing tasks and graphics rendering, they were not originally designed to tackle the computational intensity of deep neural networks.

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Towards AI

FEBRUARY 3, 2025

AI is being discussed in various sectors like healthcare, banking, education, manufacturing, etc. However, DeepSeek AI is taking a different direction than the current AI Models. DeepSeek AI The Future is Here So, where does DeepSeek AI fit in amongst it all? What is DeepSeek AI? Lets begin!

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AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. The models are powered by advanced Deep Learning and Machine Learning research. What is Text Summarization for NLP?

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AssemblyAI

MARCH 21, 2023

New GNN-powered drug discovery algorithm (MIT Lab) Perhaps one of the most famous recent applications of AI methods in the pharmaceutical domain came out of a research project from the Massachusetts Institute of Technology that turned into a publication in the prestigious scientific journal Cell.

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Marktechpost

JANUARY 15, 2025

These limitations are particularly significant in fields like medical imaging, autonomous driving, and natural language processing, where understanding complex patterns is essential. This gap has led to the evolution of deep learning models, designed to learn directly from raw data.

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AssemblyAI

SEPTEMBER 4, 2024

  Today, deep learning technology, heavily influenced by Baidu’s seminal paper Deep Speech: Scaling up end-to-end speech recognition , dominates the field. In the next section, we’ll discuss how these deep learning approaches work in more detail. How does speech recognition work?

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Unite.AI

MARCH 28, 2024

How generative AI creates additional benefits And when it comes to AI, today’s Generative AI technologies are giving even more power to manufacturers. ChatGPT is the latest technology driven by AI that uses natural language processing.

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Marktechpost

SEPTEMBER 21, 2024

Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges.

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AI Weekly

APRIL 11, 2024

Generative AI is igniting a new era of innovation within the back office. No legacy process is safe. tweaktown.com Research Researchers unveil time series deep learning technique for optimal performance in AI models A team of researchers has unveiled a time series machine learning technique designed to address data drift challenges.

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Unite.AI

OCTOBER 31, 2024

Authenticx addresses this gap by utilizing AI and natural language processing to analyze recorded interactions—such as calls, emails, and chats—providing healthcare organizations with actionable insights to make better business decisions. Authenticx uses AI to analyze healthcare conversations.

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Unite.AI

NOVEMBER 6, 2023

In recent years, Generative AI has shown promising results in solving complex AI tasks. Modern AI models like ChatGPT , Bard , LLaMA , DALL-E.3 Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously.

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Marktechpost

DECEMBER 30, 2023

In the dynamic world of software development, a trend is emerging, promising to reshape the way code is written—text-to-code AI models. These innovative models leverage the power of machine learning to generate code snippets and even entire functions based on natural language descriptions.

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AWS Machine Learning Blog

FEBRUARY 28, 2025

As organizations adopt AI and machine learning (ML), theyre using these technologies to improve processes and enhance products. AI use cases include video analytics, market predictions, fraud detection, and natural language processing, all relying on models that analyze data efficiently.

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Unite.AI

SEPTEMBER 18, 2023

On the other hand, AI or Artificial Intelligence is a branch in modern science that focuses on developing machines that are capable of decision-making, and can simulate autonomous thinking comparable to a human’s ability. Deep learning frameworks can be classified into two categories: Supervised learning, and Unsupervised learning.

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Marktechpost

JUNE 14, 2024

This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field.

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Unite.AI

OCTOBER 12, 2023

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.

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Unite.AI

OCTOBER 22, 2024

From recommending products online to diagnosing medical conditions, AI is everywhere. As AI models become more complex, they demand more computational power, putting a strain on hardware and driving up costs. For example, as model parameters increase, computational demands can increase by a factor of 100 or more.

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Pickl AI

DECEMBER 29, 2024

Introduction Mathematics forms the backbone of Artificial Intelligence , driving its algorithms and enabling systems to learn and adapt. Core areas like linear algebra, calculus, and probability empower AI models to process data, optimise solutions, and make accurate predictions.

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Unite.AI

FEBRUARY 26, 2025

Project DIGITS is Nvidias desktop AI supercomputer, designed to deliver high-performance AI computing without cloud reliance. Project DIGITS runs on the GB10 Grace Blackwell Superchip, which integrates a Blackwell GPU with a 20-core Grace CPU, delivering up to 1 petaflop of AI performance.

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Unite.AI

JUNE 30, 2023

Cogito uses a powerful combination of Emotion and Conversation AI to reveal new insights from all conversations, extracting both what was said and how the customers received the message. In turn, this improves both the customer experience, and the agent experience.

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Marktechpost

JULY 31, 2024

TensorFlow is a powerful open-source framework for building and deploying machine learning models. Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Viso.ai

DECEMBER 1, 2023

As Artificial Intelligence (AI) models become more important and widespread in almost every sector, it is increasingly important for businesses to understand how these models work and the potential implications of using them. This guide will provide an overview of AI models and their various applications.

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Unite.AI

JULY 11, 2023

What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques. Covers Google tools for creating your own Generative AI apps. You’ll also learn about the Generative AI model types: unimodal or multimodal, in this course.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

How does generative AI code generation work? Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). Training code generally comes from publicly available code produced by open-source projects.

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IBM Journey to AI blog

JUNE 26, 2023

What is generative AI? Generative AI uses an advanced form of machine learning algorithms that takes users prompts and uses natural language processing (NLP) to generate answers to almost any question asked. According to Precedence Research , the global generative AI market size valued at USD 10.79

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IBM Journey to AI blog

JULY 11, 2023

AI can improve the healthcare user experience A recent study found that 83% of patients report poor communication as the worst part of their experience, demonstrating a strong need for clearer communication between patients and providers. Another published study found that AI recognized skin cancer better than experienced doctors.

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Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction.

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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Marktechpost

SEPTEMBER 7, 2023

To address the challenges, a group of researchers has introduced CatBERTa, a Transformer-based model designed for energy prediction that uses textual inputs. CatBERTa has been built upon a pretrained Transformer encoder, a type of deep learning model that has shown exceptional performance in natural language processing tasks.

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Unite.AI

OCTOBER 13, 2023

This is probably the most common use of AI over the past few decades. Enhanced patient flow Deep learning models trained on historical hospital data can provide invaluable insights into patient discharge timings and flow patterns. Relying on dated data can misinform AI models.

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Pickl AI

JANUARY 8, 2025

Summary: Attention mechanism in Deep Learning enhance AI models by focusing on relevant data, improving efficiency and accuracy. Despite challenges like computational costs, innovations like sparse attention expand applications across industries, shaping AI’s future. Its global market size, valued at USD 17.60

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Pickl AI

DECEMBER 26, 2024

Its key features include distributed training at scale, optimised performance for deep learning frameworks, and real-time processing for complex tasks. These GPUs work alongside custom-built CPUs optimised for managing massive data flows and parallel processing.

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IBM Journey to AI blog

JANUARY 10, 2024

Data is often divided into three categories: training data (helps the model learn), validation data (tunes the model) and test data (assesses the model’s performance). For optimal performance, AI models should receive data from a diverse datasets (e.g.,

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