John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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AWS Machine Learning Blog

DECEMBER 5, 2024

You can also bring your own prompt dataset to customize the evaluation with your data, and compare results across evaluation jobs to make decisions faster. Previously, you had a choice between human-based model evaluation and automatic evaluation with exact string matching and other traditional natural language processing (NLP) metrics.

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IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. models are trained on IBM’s curated, enterprise-focused data lake.

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IBM Journey to AI blog

JULY 27, 2023

Partners can now embed core AI technology like Watson Natural Language Processing (NLP) to make application experiences more intelligent, or Watson Discovery to infuse automation into core business workflows.

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IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. Learn more about harnessing the power of generative AI for your business by exploring IBM watsonx , the AI and data platform built for business.

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Marktechpost

OCTOBER 21, 2024

models are built to support diverse use cases in enterprise environments, ranging from natural language understanding to facilitating enhanced decision-making processes. Built on IBM’s watsonx AI and data platform, Granite 3.0 delivers powerful NLP features in a secure and transparent manner.

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IBM Journey to AI blog

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Large language models (LLMs) are a class of foundational models (FM) that consist of layers of neural networks that have been trained on these massive amounts of unlabeled data. Large language models (LLMs) have taken the field of AI by storm. IBM watsonx consists of the following: IBM watsonx.ai

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IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

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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.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

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John Snow Labs

JANUARY 14, 2025

This is the result of a concentrated effort to deeply integrate its technology across a range of cloud and data platforms, making it easier for customers to adopt and leverage its technology in a private, safe, and scalable way. The curated Models Hub crossed 100,000 models, of which 63% are now LLMs.

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Pickl AI

OCTOBER 25, 2023

Machine Learning algorithms enable systems to learn and improve from data without being explicitly programmed. Natural Language Processing AI technologies, like Natural Language Processing (NLP), enable computers to understand, interpret, and generate human language.

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Pickl AI

JULY 10, 2023

R’s machine learning capabilities allow for model training, evaluation, and deployment. · Text Mining and Natural Language Processing (NLP): R offers packages such as tm, quanteda, and text2vec that facilitate text mining and NLP tasks.

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Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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John Snow Labs

AUGUST 7, 2024

Disease Diagnosis Generative AI enhances disease diagnosis by enhancing the accuracy and efficiency of interpreting data. Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis.

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ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

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Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

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Snorkel AI

FEBRUARY 13, 2023

In addition, we are also responsible for the Experimentation Platforms at Comcast and the products, the data platforms that kind of underlie all these AI and machine-learning applications, as well as our product analytics platforms that make it easier to train, develop, and manage models.

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Snorkel AI

FEBRUARY 13, 2023

In addition, we are also responsible for the Experimentation Platforms at Comcast and the products, the data platforms that kind of underlie all these AI and machine-learning applications, as well as our product analytics platforms that make it easier to train, develop, and manage models.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

John Snow Labs

FEBRUARY 29, 2024

Disease Diagnosis Generative AI enhances disease diagnosis by enhancing the accuracy and efficiency of interpreting data. Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis.

Generative AI 40

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Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

Categorization 40

Categorization ChatGPT Large Language Models Generative AI 40

Artificial Corner

JUNE 6, 2023

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. The integration of AI and ML into data engineering pipelines enables a wide range of applications.

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IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Discover and Classify (ISDC) is a data discovery and classification platform that delivers automated, near real-time discovery, network mapping and tracking of sensitive data at the enterprise level, across multi-platform environments.

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Bugra Akyildiz

FEBRUARY 24, 2024

Streaming data platforms: Apache Kafka and Apache Flink enable real-time ingestion and processing of user actions, clickstream data, and product catalogs, feeding fresh data to the models. This translates to longer session durations, increased page views, and deeper user engagement.

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The MLOps Blog

MARCH 21, 2023

They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. What do they want to accomplish? Let’s look at the healthcare vertical for context.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker Canvas SageMaker Canvas enables business analysts and data science teams to build and use ML and generative AI models without having to write a single line of code. Einstein Studio is a gateway to AI tools on Salesforce Data Cloud.

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AWS Machine Learning Blog

DECEMBER 18, 2024

Claudia Sacco is an AWS Professional Solutions Architect at BIP xTech, collaborating with Fastwebs AI CoE and specialized in architecting advanced cloud and data platforms that drive innovation and operational excellence. Andrea Policarpi is a Data Scientist at BIP xTech, collaborating with Fastwebs AI CoE.

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Pickl AI

DECEMBER 25, 2024

Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. Together, these tools enable Data Scientists to tackle a broad spectrum of challenges.

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