AWS Machine Learning Blog

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce.

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Generative AI LLM Large Language Models AI 117

ODSC - Open Data Science

MARCH 12, 2025

AI engineering extended this by integrating AI systems more deeply into software engineering pipelines, making it a crucial field as AI applications became more sophisticated and embedded in real-world systems. 20212022: Transformer-based models took center stage, with GPT-3 driving conversations around text generation.

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Data Science ETL Machine Learning AI Engineer 52

IBM Journey to AI blog

DECEMBER 20, 2023

Generative adversarial networks (GANs)— deep learning tool that generates unlabeled data by training two neural networks—are an example of semi-supervised machine learning. With IBM® watsonx.ai ™ AI studio, developers can manage ML algorithms and processes with ease.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

From internal knowledge bases for customer support to external conversational AI assistants, these applications use LLMs to provide human-like responses to natural language queries. This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application.

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Generative AI LLM AI AI 90

IBM Journey to AI blog

DECEMBER 14, 2023

Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). Kids completing homework with ChatGPT, the rest of us generating images, PowerPoint slides, poems, code skeletons and security hacks. Quite fascinating.

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Automation Large Language Models Software Development Data Platform 210

IBM Journey to AI blog

AUGUST 3, 2023

In our hundreds of generative AI engagements with clients around the world, enterprises are trying to balance massive value creation with risk mitigation—and they face a shortage of the necessary “AI for business” skills. And IBM is already applying this approach internally with IBM HR.

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Generative AI Automation Data Platform Responsible AI 100

Unite.AI

OCTOBER 23, 2024

Persado’s Motivation AI Platform is highlighted for its ability to personalize marketing content. Can you explain how the platform uses generative AI to understand and leverage customer motivation? It’s a component with a stack of data, machine learning, and a response feedback loop.

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Machine Learning Continuous Learning Generative AI Algorithm 147

AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

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Data Scientist ML ETL Data Platform 88

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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Large Language Models NLP Natural Language Processing LLM 40

IBM Journey to AI blog

JULY 27, 2023

Precisely conducted a study that found that within enterprises, data scientists spend 80% of their time cleaning, integrating and preparing data , dealing with many formats, including documents, images, and videos. Overall placing emphasis on establishing a trusted and integrated data platform for AI.

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Generative AI Chatbots Data Scientist AI 173

AWS Machine Learning Blog

SEPTEMBER 12, 2024

As generative AI moves from proofs of concept (POCs) to production, we’re seeing a massive shift in how businesses and consumers interact with data, information—and each other. While these layers provide different points of entry, the fundamental truth is that every generative AI journey starts at the foundational bottom layer.

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ODSC - Open Data Science

MARCH 18, 2025

As an accomplished author for Addison-Wesley and Pearson and a former Forbes Technology Council member, Sinan has shaped the AI landscape through thought leadership and education. A published author on AI and large language models, she shares her expertise through insightful articles and technical writing.

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Data Science Machine Learning Software Engineer Data Scientist 64

Flipboard

NOVEMBER 27, 2024

Seamless integration of customer experience, collaboration tools, and relevant data is the foundation for delivering knowledge-based productivity gains. He has areas of depth in integrating generative AI outcomes into enterprise applications, full stack development, video analytics, and computer vision and enterprise data platforms.

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NVIDIA

JANUARY 7, 2025

According to IDCs Global DataSphere 1 , enterprises will generate 317 zettabytes of data annually by 2028 including the creation of 29 zettabytes of unique data of which 78% will be unstructured data and 44% of that will be audio and video. Retrieval-augmented generation is a component of AI query engines.

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AI AI Data Extraction Generative AI 139