IBM Journey to AI blog

MAY 17, 2024

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. AI models analyze vast amounts of data quickly and accurately.

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NVIDIA

MARCH 1, 2024

GTC , NVIDIA’s conference on AI and accelerated computing, set for March 18-21 at the San Jose Convention Center, will feature leaders across a broad swath of industries discussing how they’re charting the path to AI-driven innovation.

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Robotics Artificial Intelligence Artificial Intelligence Generative AI 118

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 211

Large Language Models DevOps AI Modeling Automation 211

Unite.AI

JANUARY 19, 2024

It uses the most popular industry standards for process modeling, business rule management and integrates as easily with legacy systems as with the latest APIs and RPAs. And, maybe even more importantly, with the resources freed up we could considerably accelerate the pace of innovation.

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Software Development Automation AI AI 130

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

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Machine Learning Automation AI AI 182

IBM Journey to AI blog

JULY 26, 2023

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. In an advanced use case, generative AI models fine-tuned with a company’s sustainability policies could power an advisor application for activities such as supplier selection.

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ESG AI AI Generative AI 184

NVIDIA

JULY 13, 2023

This set off demand for generative AI applications that help businesses become more efficient, from providing consumers with answers to their questions to accelerating the work of researchers as they seek scientific breakthroughs, and much, much more. The engine driving generative AI is accelerated computing. The stakes are high.

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Generative AI AI AI Natural Language Processing 98

Marktechpost

OCTOBER 13, 2023

Highmark Health, a pioneering force in healthcare, envisions a future where the healthcare experience mirrors the seamless engagement one expects from a top-tier retailer. The integration of Vertex AI and large language models (LLMs) promises to personalize member materials and other publicly available information at an unprecedented scale.

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Large Language Models AI AI Artificial Intelligence 91

AWS Machine Learning Blog

FEBRUARY 14, 2024

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.

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Prompt Engineer Prompt Engineering Generative AI AI Chatbots 109

IBM Journey to AI blog

DECEMBER 1, 2023

By creating an agile, flexible and scalable computing environment, hybrid cloud offers valuable use cases for businesses to accelerate growth and gain a competitive advantage. mainframe-based platforms) to deal with a large amount of sensitive data. What is hybrid cloud ? fast and secure mobile banking apps).

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DevOps Generative AI Automation Large Language Models 203

ODSC - Open Data Science

OCTOBER 19, 2023

Fine-tuning LLMs on Slack Messages Fine-tuning large language models is super easy, thanks to HuggingFace’s libraries. This tutorial walks you through adapting a pre-trained model to generate text that emulates chat conversations from a Slack channel. Learn more here!

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Large Language Models Data Science Data Scientist Artificial Intelligence 97

AWS Machine Learning Blog

MARCH 15, 2024

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. This approach alleviates many data privacy concerns while enabling effective collaboration on model training.

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Auto-complete Auto-classification Machine Learning ML 101

Unite.AI

DECEMBER 18, 2023

After just a few short months, we are able to successfully power that search engine at Yelp’s scale, largely thanks to the robust infrastructure Yelp had built internally for Elasticsearch. From fine-tuning orchestration, hosting models, to establishing robust inference APIs, these lower-level components are critical to our mission.

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LLM Data Analysis Prompt Engineer Prompt Engineering 130

NVIDIA

APRIL 25, 2024

DRIVE Thor will integrate the new NVIDIA Blackwell GPU architecture, designed for transformer , large language model and generative AI workloads. All 2024 models are equipped with four NVIDIA DRIVE Orin systems-on-a-chip (SoCs). Li Auto is showcasing its recently released L6 model, as well as L7, L8, L9 and MEGA.

Large Language Models 100

Large Language Models AI AI Automation 100

NVIDIA

SEPTEMBER 7, 2023

Speech AI can understand and converse in natural language, creating opportunities for seamless, multilingual customer interactions while supplementing employee capabilities. According to a recent NVIDIA survey , the top AI use cases for financial service institutions are natural language processing (NLP) and large language models (LLMs).

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Automation AI AI Conversational AI 120

NVIDIA

JUNE 14, 2023

Emrah Gultekin “The fusion of large language models and computer vision will bring about even more powerful and accurate products that are easier to deploy,” said Gultekin. Chooch applies its technology to a host of challenges in manufacturing, retail and security. Chooch also works with NVIDIA’s retail and telco teams.

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Computer Vision Generative AI Large Language Models AI 88

Snorkel AI

APRIL 19, 2023

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. Their platform enables businesses to automate customer interactions and improve the customer experience using natural language processing and machine learning.

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Conversational AI Data Scientist Natural Language Processing AI 52

Snorkel AI

APRIL 19, 2023

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. Their platform enables businesses to automate customer interactions and improve the customer experience using natural language processing and machine learning.

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Conversational AI Data Scientist Natural Language Processing AI 52

Viso.ai

NOVEMBER 19, 2023

This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI. Find case studies, AI projects, and industry solutions here.

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Computer Vision Natural Language Processing Machine Learning Deep Learning 97

Flipboard

APRIL 13, 2023

Prime Air (our drones) and the computer vision technology in Amazon Go (our physical retail experience that lets consumers select items off a shelf and leave the store without having to formally check out) use deep learning. To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters.

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Generative AI ML AI AI 182

AWS Machine Learning Blog

JANUARY 12, 2023

At The Very Group , which operates digital retailer Very, security is a top priority in handling data for millions of customers. Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. Overview of solution.

DevOps 101

DevOps Natural Language Processing Metadata Automation 101

AWS Machine Learning Blog

NOVEMBER 22, 2023

Third, a number of sessions will be of interest to ML practitioners who build, deploy, and operationalize both traditional and generative AI models. The greater the power of latest transformer-based models, the greater the responsibility of all ML practitioners to do this right. This year, learn about LLMOps, not just MLOps!

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ML Generative AI Prompt Engineer Prompt Engineering 103

deepsense.ai

DECEMBER 20, 2023

Edge AI – Michał Tadeusiak In the dynamic realm of artificial intelligence (AI), edge devices are emerging as an enabling force, revolutionizing language communication, shaping the metaverse, and empowering industries. Although the first such solutions were developed as far back as 2019 (e.g. Let’s dive right in!

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AI AI Software Development LLM 86

AWS Machine Learning Blog

AUGUST 2, 2023

As an example, a GenAI model can be used to generate a textual description for the following image as “a dog laying on the ground under an umbrella” during document ingestion of the image. In this post, we show how to use CDE in Amazon Kendra using a GenAI model deployed on Amazon SageMaker.

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Automation Generative AI Metadata Data Scientist 69

AWS Machine Learning Blog

NOVEMBER 14, 2023

Today, we are excited to announce the capability to fine-tune the Mistral 7B model using Amazon SageMaker JumpStart. You can now fine-tune and deploy Mistral text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. license, for use without restrictions.

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Natural Language Processing Python Machine Learning Algorithm 89

AWS Machine Learning Blog

APRIL 24, 2023

According to a PWC report , 32% of retail customers churn after one negative experience, and 73% of customers say that customer experience influences their purchase decisions. In the global retail industry, pre- and post-sales support are both important aspects of customer care. Pro360 utilized this feature to build a model with 99.2%

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ML NLP Machine Learning ETL 60

ODSC - Open Data Science

JULY 6, 2023

Outlines offers a solution to these problems. Microsoft Introduces New LLM phi-1: Specialized in Python Coding Tasks A team from Microsoft introduced phi-1 to the world — a new transformer-based large language model for code that specializes in Python tasks. Register now–time is running out! Register now for 70% off.

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Generative AI Large Language Models LLM Python 52

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models.

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Generative AI LLM Natural Language Processing Metadata 105

AWS Machine Learning Blog

OCTOBER 9, 2023

Machine learning (ML) can analyze large volumes of product reviews and identify patterns, sentiments, and topics discussed. You can use models to make predictions interactively and for batch scoring on bulk datasets. SageMaker Canvas offers fully-managed ready-to-use AI model and custom model solutions.

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Machine Learning Categorization ML DevOps 75

LevelAI

MARCH 28, 2024

While they could detect elements like proper greetings, empathy, and closing language, their evaluation was surface-level at best. While phrase-based systems represented an improvement over their predecessors, they still fell short of providing a comprehensive solution to QA challenges. This is precisely where QA-GPT shines.

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Auto-complete LLM AI AI 52

Snorkel AI

MARCH 19, 2024

In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies. Enterprises that build and use LLMs for complex, business-critical AI applications must continuously monitor, evaluate, and update their models using their data.

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Data Scientist AI AI LLM 52

Snorkel AI

MARCH 19, 2024

In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies. Enterprises that build and use LLMs for complex, business-critical AI applications must continuously monitor, evaluate, and update their models using their data.

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Data Scientist AI AI LLM 52

NVIDIA Developer

MAY 20, 2021

Retail businesses use it to offer personalized customer shopping experiences. Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation.

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Natural Language Processing Deep Learning Neural Network NLP 40

AWS Machine Learning Blog

APRIL 5, 2023

The rise of text and semantic search engines has made ecommerce and retail businesses search easier for its consumers. Search engines powered by unified text and image can provide extra flexibility in search solutions. Contrastive Language-Image Pre-Training (CLIP) is a neural network trained on a variety of image and text pairs.

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Metadata ML Neural Network Python 83

The MLOps Blog

MAY 31, 2023

The problem is, with more ML models and systems in production, you need to set up more infrastructure to reliably manage everything. But first, let’s discuss core retail/eCommerce Machine Learning use cases that your ML platform can and should support. What are the model types that an eCommerce ML platform can support?

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ML Data Drift Algorithm Data Platform 59

AWS Machine Learning Blog

NOVEMBER 29, 2023

In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Foundational Model (FM) providers train models that are general-purpose. Gathering evaluation data is vital for model providers.

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LLM Data Scientist Algorithm Generative AI 78

Viso.ai

APRIL 4, 2024

Model drift is an umbrella term encompassing a spectrum of changes that impact machine learning model performance. These phenomena manifest when certain factors alter the statistical properties of model inputs or outputs. It works against the assumption of stationary data distributions underlying most predictive models.

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Data Drift Computer Vision Machine Learning Algorithm 52