Unite.AI

JANUARY 18, 2025

Just as GPUs once eclipsed CPUs for AI workloads , Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performanceespecially for generative AI , where massive real-time processing must happen at lightning speed and at lower cost.

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Analytics Vidhya

MARCH 20, 2023

Introduction DeBERTa v3 is the most recent member of the DeBERTa family of generative AI models, which has taken the world of natural language processing by storm.

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Analytics Vidhya

NOVEMBER 20, 2024

Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. Whether it’s summarization, question answering, or other NLP applications. These models vary in their architecture, performance, and efficiency.

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BERT Natural Language Processing Large Language Models NLP 208

Analytics Vidhya

SEPTEMBER 28, 2023

However, many languages face the risk of extinction. Language revitalization aims to reverse this trend, and Generative AI has emerged as a powerful tool in this endeavor. Language revitalization is essential to preserve endangered languages and cultural heritage.

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Unite.AI

DECEMBER 12, 2023

Generative AI has made headlines for the way it’s disrupting the corporate world, but businesses that employ deskless workers can also reap the technology’s benefits as part of their workforce management (WFM) processes. Enter generative AI. Let’s explore three key ways generative AI can improve WFM processes. #1:

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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AI News

FEBRUARY 7, 2025

While most people are only familiar with generative AI use cases, this nascent technology has the potential to support the creation of hyper-realistic and intelligent digital human avatars that could replace static profiles or business chatbots whose capabilities remain limited.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

However, as the reach of live streams expands globally, language barriers and accessibility challenges have emerged, limiting the ability of viewers to fully comprehend and participate in these immersive experiences. To learn more about how to build and scale generative AI applications, refer to Transform your business with generative AI.

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IBM Journey to AI blog

JUNE 19, 2024

According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays.

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Unite.AI

FEBRUARY 27, 2025

The rise of generative AI is beginning to change that. AI-driven tools can now assist in creating game environments, characters, animations, and procedural content. This shift allows developers to focus more on refining gameplay mechanics and player experience rather than spending extensive time on manual content generation.

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IBM Journey to AI blog

MAY 1, 2024

AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-making. AI-supported what-if modeling helps develop contingency plans such as inventory, supplier or distribution center reallocation.

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Analytics Vidhya

JANUARY 20, 2025

Since its introduction in 2018, BERT has transformed Natural Language Processing. It performs well in tasks like sentiment analysis, question answering, and language inference. Using bidirectional training and transformer-based self-attention, BERT introduced a new way to understand relationships between words in text.

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BERT Natural Language Processing NLP Generative AI 208

Analytics Vidhya

JANUARY 17, 2025

Entity extraction, also known as Named Entity Recognition, is a crucial task in natural language processing that focuses on identifying and classifying key information from unstructured text.

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Natural Language Processing Generative AI AI AI 208

Analytics Vidhya

APRIL 20, 2024

Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. LLM development has accelerated in recent years, leading to widespread use in tasks like complex data analysis and natural language processing.

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Analytics Vidhya

JUNE 28, 2023

Introduction Natural language processing has been a field with affluent areas of implementation using underlying technologies and techniques. In recent years, and especially since the start of 2022, Natural Language Processing (NLP) and Generative AI have experienced improvements.

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Analytics Vidhya

JANUARY 20, 2025

ModernBERT is an advanced iteration of the original BERT model, meticulously crafted to elevate performance and efficiency in natural language processing (NLP) tasks.

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Natural Language Processing BERT Machine Learning NLP 207

AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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Analytics Vidhya

SEPTEMBER 29, 2023

Introduction Generative Artificial Intelligence (AI) models have revolutionized natural language processing (NLP) by producing human-like text and language structures.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Few technologies have taken the world by storm the way artificial intelligence (AI) has over the past few years. AI and its many use cases have become a topic of public discussion no longer relegated to tech experts. We provide open and targeted value creating AI solutions for businesses and public sector institutions.

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Analytics Vidhya

MAY 21, 2024

Introduction Since the release of GPT models by OpenAI, such as GPT 4o, the landscape of Natural Language Processing has been changed entirely and moved to a new notion called Generative AI. The next […] The post Multimodal Chatbot with Text and Audio Using GPT 4o appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 12, 2023

Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., LLMs use deep learning techniques to perform natural language processing tasks.

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AWS Machine Learning Blog

NOVEMBER 29, 2024

Prompt Optimizations can result in significant improvements for Generative AI tasks. In the Configurations pane, for Generative AI resource , choose Models and choose your preferred model. The reduced manual effort, will greatly accelerate the development of generative-AI applications in your organization.

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Analytics Vidhya

NOVEMBER 1, 2023

Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing.

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Unite.AI

OCTOBER 11, 2023

For large-scale Generative AI applications to work effectively, it needs good system to handle a lot of data. Generative AI and The Need for Vector Databases Generative AI often involves embeddings. Generative AI and The Need for Vector Databases Generative AI often involves embeddings.

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Analytics Vidhya

SEPTEMBER 18, 2024

Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits.

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Unite.AI

OCTOBER 30, 2024

There were rapid advancements in natural language processing with companies like Amazon, Google, OpenAI, and Microsoft building large models and the underlying infrastructure. Each workflow or service has its own AI pipeline, but the underlying technology remains the same. Intelligence and data insights are crucial.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal sought to develop natural language processing (NLP) and question-answering capabilities to accurately query and summarize this unstructured data at scale.

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Unite.AI

OCTOBER 11, 2023

Now, the technology landscape has been changed once again by the rise of generative artificial intelligence (AI) software. AI-Powered Knowledge Management 3.0: Entering a New Era Around 2021, a transformative shift occurred in technology as generative AI and natural language search engines came into the mainstream.

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Analytics Vidhya

NOVEMBER 22, 2023

This Leading with Data Session unfolds the firsthand experiences of Sandeep Singh, Head of Applied AI at Beans.ai. He shares insights from his journey, from comprehensive workshops shaping generative AI engineers to the transformative potential of combining computer vision and natural language processing (NLP).

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Computer Vision Natural Language Processing NLP AI Engineer 317

IBM Journey to AI blog

JANUARY 29, 2024

This technological revolution is now possible, thanks to the innovative capabilities of generative AI powered automation. With today’s advancements in AI Assistant technology, companies can achieve business outcomes at an unprecedented speed, turning the once seemingly impossible into a tangible reality.

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AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. Specifically, BMW uses Amazon Bedrock Agents to make remediating (partial) service outages quicker by speeding up the otherwise cumbersome and time-consuming process of root cause analysis (RCA).

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Analytics Vidhya

MARCH 30, 2024

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks.

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Analytics Vidhya

FEBRUARY 18, 2025

DeepSeek has taken the world of natural language processing by storm. With its impressive scale and performance, this cutting-edge model excels in tasks like question answering and text summarization. Its ability to handle nuanced understanding makes it a game-changer across industries.

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Unite.AI

DECEMBER 23, 2024

Today, AI agents are playing an important role in enterprise automation, delivering benefits such as increased efficiency, lower operational costs, and faster decision-making. Advancements in generative AI and predictive AI have further enhanced the capabilities of these agents.

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Unite.AI

NOVEMBER 15, 2024

Rethinking AI’s Pace Throughout History Although it feels like the buzz behind AI began when OpenAI launched ChatGPT in 2022, the origin of artificial intelligence and natural language processing (NLPs) dates back decades. It’s very clear that the perception of AI has changed because of generative AI.

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Analytics Vidhya

AUGUST 23, 2024

Introduction Artificial Intelligence has seen remarkable advancements in recent years, particularly in natural language processing. Among the numerous AI language models, two have garnered significant attention: ChatGPT-4 and Llama 3.1.

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Unite.AI

SEPTEMBER 25, 2023

However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Today platforms like Spotify are leveraging AI to fine-tune their users' listening experiences.

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