Unite.AI

SEPTEMBER 18, 2023

NLP in particular has been a subfield that has been focussed heavily in the past few years that has resulted in the development of some top-notch LLMs like GPT and BERT. Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

IBM Journey to AI blog

NOVEMBER 10, 2023

Ring 3 uses the capabilities of Ring 1 and Ring 2, including the data integration capabilities of the platform for terminology standardization and person matching. This also supports the capabilities to insert actionable insights and care plan updates directly into the provider care flow within the Electronic Medical Record (EMR).

AI 295

AI Natural Language Processing AI Data Platform 295

Flipboard

FEBRUARY 11, 2025

In this post, we propose an end-to-end solution using Amazon Q Business to address similar enterprise data challenges, showcasing how it can streamline operations and enhance customer service across various industries. The Process Data Lambda function redacts sensitive data through Amazon Comprehend.

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Data Ingestion Metadata Machine Learning Generative AI 153

Marktechpost

OCTOBER 8, 2024

Each of these specialized sources went through tailored pipelines to preserve data integrity and quality, ensuring that the resulting language models can handle a wide range of topics. TxT360: A New Era for Open-Source AI The release of TxT360 marks a significant leap forward in AI and NLP research.

LLM 117

LLM Large Language Models NLP Data Integration 117

Marktechpost

MARCH 3, 2024

We cannot deny the significant strides made in natural language processing (NLP) through large language models (LLMs). This deficiency underscores the need for newer, more innovative approaches to enhance LLMs’ structured knowledge grounding (SKG) capabilities, enabling them to comprehend and utilize structured data more effectively.

Large Language Models 126

Large Language Models Natural Language Processing ChatGPT NLP 126

AWS Machine Learning Blog

APRIL 29, 2024

Close collaboration with AWS Trainium has also played a major role in making the Arcee platform extremely performant, not only accelerating model training but also reducing overall costs and enforcing compliance and data integrity in the secure AWS environment. is the Head of Applied NLP Research at Arcee. Shamane Siri Ph.D.

Large Language Models 125

Large Language Models NLP Machine Learning Artificial Intelligence 125

Unite.AI

SEPTEMBER 24, 2024

Exploring LangChain LangChain is a helpful framework designed to simplify AI models' development, integration, and deployment, particularly those focused on Natural Language Processing (NLP) and conversational AI.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Unite.AI

AUGUST 27, 2024

Using Natural Language Processing (NLP) and the latest AI models, Perplexity AI moves beyond keyword matching to understand the meaning behind questions. Interact with data: Analyze uploaded files and answer questions about the data, integrating seamlessly with web searches for a complete view.

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Marktechpost

FEBRUARY 23, 2025

Important Milestones Integration of Machine Learning: The adoption of machine learning enabled AI agents to identify patterns in large datasets, making them more responsive and effective in various applications. Data Quality and Bias: The effectiveness of AI agents depends on the quality of the data they are trained on.

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Natural Language Processing Machine Learning AI AI 56

AWS Machine Learning Blog

MARCH 14, 2025

Her overall work focuses on Natural Language Processing (NLP) research and developing NLP applications for AWS customers, including LLM Evaluations, RAG, and improving reasoning for LLMs. Prior to Amazon, Evangelia completed her Ph.D. at Language Technologies Institute, Carnegie Mellon University.

Generative AI 69

Generative AI Responsible AI Automation LLM 69

IBM Journey to AI blog

OCTOBER 20, 2023

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. Store operating platform : Scalable and secure foundation supports AI at the edge and data integration.

Machine Learning 225

Machine Learning Automation AI AI 225

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

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Data Ingestion Metadata NLP Data Scientist 120

Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., spam vs. not spam), while generative NLP models can create new text based on a given prompt (e.g., a social media post or product description).

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Each request/response interaction is facilitated by the AWS SDK and sends network traffic to Amazon Lex (the NLP component of the bot). As an Information Technology Leader, Jay specializes in artificial intelligence, data integration, business intelligence, and user interface domains.

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Generative AI Artificial Intelligence Artificial Intelligence Chatbots 128

Marktechpost

AUGUST 21, 2024

The model’s architecture also allows it to outperform larger models in reasoning tasks while maintaining competitive performance across various NLP benchmarks. Vision Instruct sets a new standard in multimodal AI, enabling advanced visual and textual data integration for complex tasks. Finally, Phi 3.5 MoE-instruct.

Natural Language Processing 104

Natural Language Processing AI AI Artificial Intelligence 104

AWS Machine Learning Blog

MARCH 10, 2025

With seven years of experience in AI/ML, his expertise spans GenAI and NLP, specializing in designing and deploying agentic AI systems. With expertise in GenAI and NLP, he focuses on designing and deploying intelligent systems that enhance automation and decision-making.

DevOps 69

DevOps Metadata Auto-complete Automation 69

Marktechpost

JUNE 14, 2024

LLMs have excelled in NLP tasks, and this success has inspired attempts to adapt them to understanding proteins. The literature review highlights key limitations in existing datasets and NLP and protein sequence benchmarks.

Large Language Models 57

Large Language Models NLP Deep Learning Data Quality 57

ODSC - Open Data Science

APRIL 6, 2023

Each of these creates visualizations and reports based on data stored in a database. They often provide drag-and-drop interfaces that allow non-technical users to create reports and dashboards using SQL queries as the underlying data source. Data integration tools allow for the combining of data from multiple sources.

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Data Scientist Data Science Data Analysis Python 98

Heartbeat

OCTOBER 23, 2023

Natural Language Processing (NLP) and Text Mining: Healthcare data includes vast amounts of unstructured information in clinical notes, research articles, and patient narratives. Data scientists and machine learning engineers employ NLP techniques and text-mining algorithms to process and analyze this textual data.

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Data Scientist Machine Learning Big Data Algorithm 52

Unite.AI

JUNE 14, 2024

How have your experiences at companies like Comcast, Elsevier, and Microsoft influenced your approach to integrating AI and search technologies? Throughout my career, I have been deeply focused on natural language processing (NLP) techniques and machine learning.

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Large Language Models Generative AI AI AI Tools 130

Unite.AI

SEPTEMBER 24, 2024

This multi-faceted approach to data analysis allows for more accurate demand forecasting and inventory optimization, helping businesses reduce costs associated with overstocking or stockouts. IBM Supply Chain is designed to be scalable and adaptable, making it suitable for businesses of various sizes across different industries.

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AI Tools Natural Language Processing Machine Learning Artificial Intelligence 162

Marktechpost

JANUARY 27, 2025

SSL is a powerful technique for extracting meaningful patterns from large, unlabelled datasets, proving transformative in fields like computer vision and NLP. In single-cell genomics (SCG), SSL offers significant potential for analyzing complex biological data, especially with the advent of foundation models.

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Computer Vision Data Integration Big Data Machine Learning 48

Heartbeat

SEPTEMBER 20, 2023

This technology has broad applications, including aiding individuals with visual impairments, improving image search algorithms, and integrating optical recognition with advanced language generation to enhance human-machine interactions. NLP enables computers to comprehend and generate coherent sentences.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific entities or phrases. Use AWS KMS encryption in Amazon Comprehend – Amazon Comprehend works with AWS KMS to provide enhanced encryption for your data.

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IDP Machine Learning Natural Language Processing ML 116

Pickl AI

OCTOBER 18, 2023

Automatic Data Capture: Streamlining Data Entry with AI AI has the remarkable ability to extract data without manual intervention, allowing employees to focus on more critical tasks, such as customer interactions. Predictive Data Quality Machine learning models can predict data quality issues before they become critical.

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Data Quality ML Machine Learning Natural Language Processing 52

Pickl AI

OCTOBER 2, 2024

Summary: Artificial Intelligence (AI) is revolutionising Genomic Analysis by enhancing accuracy, efficiency, and data integration. Despite challenges like data quality and ethical concerns, AI’s potential in genomics continues to grow, shaping the future of healthcare.

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Neural Network Deep Learning Machine Learning Artificial Intelligence 52

Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). LLMs are trained on massive amounts of text data, allowing them to generate highly accurate predictions and responses. Tokenization: Tokenization is a crucial step in data preparation for natural language processing (NLP) tasks.

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Large Language Models Machine Learning LLM Natural Language Processing 78

The Stanford AI Lab Blog

NOVEMBER 5, 2021

Manning Contact : jennyhong@cs.stanford.edu Keywords : legal nlp, information extraction, weak supervision Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser Authors : Yuta Koreeda, Christopher D.

Natural Language Processing 40

Natural Language Processing Data Integration NLP AI 40

AWS Machine Learning Blog

SEPTEMBER 5, 2023

This dramatically reduces the size of data while capturing features that characterize the equipment’s behavior. Figure 1: Sample of HVAC sensor data AWS Glue is a serverless data integration service for processing large quantities of data at scale.

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Machine Learning Deep Learning ML Computer Vision 123

John Snow Labs

SEPTEMBER 26, 2024

Data integration has been an enormous challenge in healthcare for decades.

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Explainability Data Integration Large Language Models AI 52

ODSC - Open Data Science

SEPTEMBER 13, 2024

By breaking down data into graphs, companies can better handle their knowledge and quickly get the info they need. Natural Language Processing (NLP) In NLP , GraphRAG can be used for tasks like text generation, question answering, and information extraction.

Data Science 40

Data Science Artificial Intelligence Artificial Intelligence Natural Language Processing 40

Pragnakalp

JUNE 8, 2023

Fabric’s core offered services such as Data Factory, Synapse Data Engineering, Synapse Data Science, Synapse Data Warehousing, Synapse Real-Time Analytics, and Power BI. This way you can use Fabric Notebook for your data science experiments.

Data Science 52

Data Science Machine Learning Business Intelligence NLP 52

Heartbeat

MARCH 19, 2024

However, you must be careful to avoid data privacy scandals by gaining their consent. Content Generation: Large language models (LLMs), powered by natural language processing (NLP), can assist you in creating informative material such as blog articles, website content, social media posts, and infographics.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Natural Language Processing 52

Defined.ai blog

SEPTEMBER 5, 2023

Defined.ai : Specializing in datasets for AI training, we offer a retail images dataset from Brazil, Spontaneous IVR with retail-specific vocabulary, localized dialogue data, NLP, and Quality of Excellence datasets. Solution : Implement data cleaning protocols and use data validation tools.

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AI Modeling Machine Learning AI AI 52

Heartbeat

OCTOBER 12, 2023

These models, powered by massive neural networks, have catalyzed groundbreaking advancements in natural language processing (NLP) and have reshaped the landscape of machine learning. They owe their success to many factors, including substantial computational resources, vast training data, and sophisticated architectures.

Large Language Models 59

Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

Bugra Akyildiz

NOVEMBER 20, 2022

Fast and Scalable XLA Compilation Distributed Computing Performance Optimization Applied ML New tools for CV and NLP Production Grade Solutions Developer Resources Ready To Deploy Easier Exporting C++ API for applications Deploy JAX Models Simplicity NumPy API Easier Debugging OpenAI opens the public access for Dall-E model in this blog post.

ML 52

ML Data Science ETL DevOps 52

Snorkel AI

OCTOBER 18, 2023

The Snorkel advantage for claims processing Snorkel offers a data-centric AI framework that insurance providers can use to generate high-quality training data for ML models and create custom models to streamline claims processing.

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BERT Explainability Large Language Models AI 52