IBM Journey to AI blog

JUNE 8, 2023

So how do businesses that want to incorporate AI move forward when there is such a high level of difficulty? He then selected Krista’s AI-powered intelligent automation platform to optimize Zimperium’s project management suite, messaging solutions, development and operations (DevOps).

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DevOps Automation Machine Learning NLP 214

IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? An open-source model, Google created BERT in 2018. All watsonx.ai

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Generative AI Data Scientist Machine Learning BERT 176

IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. With IBM® watsonx.ai ™ AI studio, developers can manage ML algorithms and processes with ease.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

IBM Journey to AI blog

SEPTEMBER 7, 2023

They are widely applicable across industries, and support other NLP tasks such as content generation, insight extraction and retrieval-augmented generation (a framework for improving the quality of response by linking the model to external sources of knowledge) and named entity recognition (identifying and extracting key information in a text).

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Large Language Models AI AI Generative AI 275

ODSC - Open Data Science

MARCH 12, 2025

Takeaway: The industrys focus has shifted from building models to making them robust, scalable, and maintainable. The Boom of Generative AI and Large Language Models(LLMs) 20182020: NLP was gaining traction, with a focus on word embeddings, BERT, and sentiment analysis.

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Data Science ETL Machine Learning AI Engineer 52

IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

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.

Large Language Models 52

Large Language Models NLP Natural Language Processing LLM 52

IBM Journey to AI blog

JULY 27, 2023

Clients are demanding solutions involving AI, and partners are stepping up to the challenge to win more. Equipping partners to embed time-tested AI In addition to the expertise gap organizations face in adopting AI, another barrier is the cost required to build ML and AI models from scratch.

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Natural Language Processing AI AI Generative AI 176

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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Neural Network LLM Algorithm NLP 256

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

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Machine Learning Metadata Automation AI 186

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.

Machine Learning 225

Machine Learning Automation AI AI 225

TheSequence

JUNE 18, 2023

In contrast to generative approaches that make predictions at the pixel or token level, I-JEPA focuses on abstract prediction targets, potentially disregarding unnecessary pixel-level details and enabling the model to grasp more semantic features. OctoML launched OctoAI , a platform for running, tuning and scaling generative AI models.

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Computer Vision Generative AI ML Large Language Models 98

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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Data Ingestion Metadata NLP Data Scientist 117

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.

Large Language Models 40

Large Language Models NLP Natural Language Processing LLM 40

ODSC - Open Data Science

OCTOBER 20, 2023

You’ll also learn about the latest tools in NLP, machine learning, MLOps, and more during the Solution Talks. Building and Deploying a Gen AI App in 20 Minutes Nick Schenone | Pre-Sales MLOps Engineer | Iguazio Building your own Generative AI application can be quite difficult. Check them out below. Check them out for free!

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. Anyone with access to a spreadsheet can use PromptLoop to create AI-enabled spreadsheet models with little to no prior experience in AI or programming.

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Artificial Intelligence Artificial Intelligence Explainability AI 98

John Snow Labs

AUGUST 7, 2024

This breakthrough enabled the generation of data and images that have since played a crucial role in training medical professionals and developing diagnostic tools while maintaining patient privacy. They simulate trials predict responses and generate synthetic biological data to accelerate research while ensuring safety and effectiveness.

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Generative AI AI AI Algorithm 59

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.

Big Data 52

Big Data Artificial Intelligence Artificial Intelligence Machine Learning 52

John Snow Labs

FEBRUARY 29, 2024

This breakthrough enabled the generation of data and images that have since played a crucial role in training medical professionals and developing diagnostic tools while maintaining patient privacy. They simulate trials predict responses and generate synthetic biological data to accelerate research while ensuring safety and effectiveness.

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Generative AI AI AI Algorithm 40

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. The most important requirement you need to incorporate into your platform for this vertical is the regulation of data and algorithms.

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Machine Learning Data Scientist ML Metadata 69

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. SageMaker Canvas allows you to bring ML models built anywhere and generate predictions directly in SageMaker Canvas.

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ML Data Scientist Explainability Natural Language Processing 84

AWS Machine Learning Blog

DECEMBER 18, 2024

While establishing strategic agreements to acquire licensed data from publishers and media companies, Fastweb employed two main strategies to create a diverse and well-rounded dataset: translating open source English training data into Italian and generating synthetic Italian data using AI models.

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Large Language Models Data Scarcity LLM Generative AI 90