Unite.AI

JANUARY 15, 2025

Data Sources and Integration Challenges Machine learning thrives on diverse qualitative data, requiring a strong data infrastructure to gather and integrate information from various sources. Natural Language Processing (NLP) : Leveraging unstructured data, such as news articles and social media posts, to identify trends and risks.

Machine Learning 130

Machine Learning Natural Language Processing Algorithm NLP 130

Flipboard

FEBRUARY 11, 2025

Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. These tasks often involve processing vast amounts of documents, which can be time-consuming and labor-intensive.

Data Ingestion 155

Data Ingestion Metadata Machine Learning Generative AI 155

AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

LLM 82

LLM Natural Language Processing ML Computer Vision 82

Flipboard

JANUARY 6, 2025

The federal government agency Precise worked with needed to automate manual processes for document intake and image processing. The agency wanted to use AI [artificial intelligence] and ML to automate document digitization, and it also needed help understanding each document it digitizes, says Duan.

ML 65

ML Machine Learning Automation Natural Language Processing 65

AI News

SEPTEMBER 5, 2024

To elaborate, AI assistants have evolved into sophisticated systems capable of understanding context, predicting user needs and even engaging in complex problem-solving tasks — thanks to the developments that have taken place in domains such as natural language processing (NLP), machine learning (ML) and data analytics.

Natural Language Processing 321

Natural Language Processing NLP AI AI 321

Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.

ML 167

ML Metadata Data Extraction AI 167

Marktechpost

MARCH 16, 2025

The challenge is to optimize AI models for processing efficiency without compromising accuracy or functionality. These models excel in natural language processing and generation but require high-end hardware, sometimes needing up to 32 GPUs to operate effectively. Check out the Model on Hugging Face.

AI Modeling 113

AI Modeling Natural Language Processing Conversational AI AI 113

Flipboard

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1. For more information, refer to Deploy models for inference.

LLM 161

LLM AI AI Python 161

AWS Machine Learning Blog

DECEMBER 23, 2024

In a world where decisions are increasingly data-driven, the integrity and reliability of information are paramount. Capturing complex human queries with graphs Human questions are inherently complex, often requiring the connection of multiple pieces of information.

Generative AI 122

Generative AI Natural Language Processing Prompt Engineering Prompt Engineer 122

Unite.AI

JANUARY 18, 2025

Just as billions of neurons and synapses process information in parallel, an NPU is composed of numerous processing elements capable of simultaneously handling large datasets. Edge AI reduces data transfer costs, mitigates latency issues, and keeps sensitive information on the device improving both security and privacy.

Generative AI 147

Generative AI Neural Network Robotics Natural Language Processing 147

Unite.AI

SEPTEMBER 21, 2023

AI systems can process large amounts of data to learn patterns and relationships and make accurate and realistic predictions that improve over time. Organizations and practitioners build AI models that are specialized algorithms to perform real-world tasks such as image classification, object detection, and natural language processing.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

AWS Machine Learning Blog

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation.

Automation 105

Automation IDP Generative AI Prompt Engineering 105

AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance.

Machine Learning 291

Machine Learning Chatbots Business Intelligence Automation 291

AWS Machine Learning Blog

NOVEMBER 29, 2024

Your task is to provide a concise 1-2 sentence summary of the given text that captures the main points or key information. The summary should be concise yet informative, capturing the essence of the text in just 1-2 sentences. context} Please read the provided text carefully and thoroughly to understand its content.

Generative AI 123

Generative AI Prompt Engineering Prompt Engineer Data Scientist 123

AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. For more information, refer to Shut down and Update Studio Classic Apps.

LLM 100

LLM NLP Machine Learning ML 100

Marktechpost

JANUARY 11, 2025

Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. SepLLM leverages these tokens to condense segment information, reducing computational overhead while retaining essential context.

Large Language Models 92

Large Language Models LLM Natural Language Processing NLP 92

AWS Machine Learning Blog

NOVEMBER 13, 2024

By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. In addition, the extension’s capabilities extend beyond mere transcription and translation. Chiara Relandini is an Associate Solutions Architect at AWS.

Generative AI 124

Generative AI Auto-complete Natural Language Processing AI 124

Marktechpost

SEPTEMBER 21, 2024

These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges. Specifically, as models grow larger, they require vast computational resources to process immense datasets. If you like our work, you will love our newsletter.

Deep Learning 117

Deep Learning Natural Language Processing Computer Vision AI Research 117

Unite.AI

SEPTEMBER 15, 2023

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing various domains such as natural language processing , computer vision , speech recognition , recommendation systems, and self-driving cars.

Natural Language Processing 278

Natural Language Processing Artificial Intelligence Artificial Intelligence ML 278

Marktechpost

JANUARY 30, 2025

Contrastingly, agentic systems incorporate machine learning (ML) and artificial intelligence (AI) methodologies that allow them to adapt, learn from experience, and navigate uncertain environments. Natural Language Processing (NLP): Text data and voice inputs are transformed into tokens using tools like spaCy.

Robotics 113

Robotics Convolutional Neural Networks Large Language Models AI 113

AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data.

Metadata 102

Metadata Convolutional Neural Networks Generative AI Data Scientist 102

Unite.AI

OCTOBER 13, 2023

This digital metamorphosis is paving the way for unprecedented access to information, enabling doctors and patients to make more informed decisions than ever before. Adding AI and machine learning (ML) into healthcare is akin to introducing an assistant that can sift through vast datasets and uncover hidden patterns.

ML 283

ML Algorithm Natural Language Processing Machine Learning 283

IBM Journey to AI blog

OCTOBER 9, 2023

It’s not just about saving time; it’s also about providing information, insights and recommendations in near real-time. By using natural language processing (NLP) capabilities, AI tools for HR can automate manual procurement tasks, saving HR teams valuable time for planning strategic initiatives and meeting client needs.

Artificial Intelligence 212

Artificial Intelligence Artificial Intelligence Automation Natural Language Processing 212

AWS Machine Learning Blog

DECEMBER 23, 2024

Virtual Agent: Thats great, please say your 5 character booking reference, you will find it at the top of the information pack we sent. Virtual Agent: Thats great, please say your 5 character booking reference, you will find it at the top of the information pack we sent. Customer: Id like to check my booking. Please say yes or no.

DevOps 108

DevOps Natural Language Processing Software Engineer Large Language Models 108

Marktechpost

JANUARY 21, 2024

Large Language Models (LLMs) have exhibited remarkable prowess across various natural language processing tasks. However, applying them to Information Retrieval (IR) tasks remains a challenge due to the scarcity of IR-specific concepts in natural language. Also, don’t forget to follow us on Twitter.

Large Language Models 140

Large Language Models Natural Language Processing Categorization NLP 140

AI Weekly

JULY 13, 2023

In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi theage.com.au

Neural Network 242

Neural Network Robotics ChatGPT Computer Vision 242

AWS Machine Learning Blog

MARCH 5, 2025

From predicting traffic flow to sales forecasting, accurate predictions enable organizations to make informed decisions, mitigate risks, and allocate resources efficiently. She has expertise in Machine Learning, covering natural language processing, computer vision, and time-series analysis.

LLM 103

LLM Machine Learning Natural Language Processing Computer Vision 103

Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. MLOps are practices that automate and simplify ML workflows and deployments. MLOps make ML models faster, safer, and more reliable in production.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. What makes a good AI conversationalist?

Conversational AI 291

Conversational AI NLP Chatbots AI 291

IBM Journey to AI blog

NOVEMBER 10, 2023

Behind the scenes, a complex net of information about health records, benefits, coverage, eligibility, authorization and other aspects play a crucial role in the type of medical treatment patients will receive and how much they will have to spend on prescription drugs. Why is data interoperability an imperative?

Natural Language Processing 295

Natural Language Processing AI AI Data Platform 295

AWS Machine Learning Blog

FEBRUARY 21, 2025

While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. This offline batch process makes sure that the semantic cache remains up-to-date without impacting real-time operations.

LLM 111

LLM Large Language Models Natural Language Processing Machine Learning 111

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. Training and deploying these models on Vertex AI – a fully managed ML platform by Google. Understand how the attention mechanism is applied to ML models.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

AWS Machine Learning Blog

NOVEMBER 15, 2024

This wealth of content provides an opportunity to streamline access to information in a compliant and responsible way. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

Generative AI 113

Generative AI Chatbots AI AI 113

AWS Machine Learning Blog

OCTOBER 23, 2024

Amazon Bedrock Knowledge Bases gives foundation models (FMs) and agents contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. Amazon Connect forwards the user’s message to Amazon Lex for natural language processing.

Data Ingestion 90

Data Ingestion Natural Language Processing Generative AI Conversational AI 90

AWS Machine Learning Blog

MARCH 14, 2025

Whether processing invoices, updating customer records, or managing human resource (HR) documents, these workflows often require employees to manually transfer information between different systems a process thats time-consuming, error-prone, and difficult to scale. Follow the instructions in the provided GitHub repository.

Automation 104

Automation Software Engineer Generative AI Machine Learning 104

Unite.AI

AUGUST 2, 2023

To tackle the issue of single modality, Meta AI released the data2vec, the first of a kind, self supervised high-performance algorithm to learn patterns information from three different modalities: image, text, and speech. Why Does the AI Industry Need the Data2Vec Algorithm? What is the Data2Vec Algorithm?

Computer Vision 246

Computer Vision Natural Language Processing Algorithm Convolutional Neural Networks 246

Unite.AI

JUNE 30, 2023

Before my days at MIT, I recognized the need for technology that is informed by conversational context to aid its users throughout emotionally charged situations. This protocol covers areas like sampling data for training, mitigating bias in human labeling, and using ML de-biasing techniques. Could you share this genesis story?

Emotion AI 296

Emotion AI Machine Learning Conversational AI Natural Language Processing 296