IBM Journey to AI blog

FEBRUARY 14, 2024

AI is not yet loading the dishwasher after supper—but can help create a legal brief, a new product design, or a letter to grandma. Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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IBM Journey to AI blog

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately. But customers aren’t yet completely on board.

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Ehud Reiter

NOVEMBER 12, 2023

I’ve had several discussions over the past few months about evaluations that measure the real-word impact of NLG/NLP systems. In other words, instead of calculating metrics on test sets or asking human subjects whether they like what they see, we measure the impact on users when the system is deployed in the real world.

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IBM Journey to AI blog

MAY 9, 2023

IBM’s announcement today of the Watsonx platform to power next generation foundation models for business is a prime example of how we are doubling down on the technology that will transform the enterprise. So, it should come as no surprise that partners are front and center during our annual Think conference this week.

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IBM Journey to AI blog

JULY 27, 2023

That’s why IBM continues to deploy enterprise-ready AI and built our partner program on the foundation of developing expertise in the areas most important to clients: AI and hybrid cloud. Yet many senior execs say their organization is not ready because they lack in-house proficiency and reskilling can be costly.

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Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). As a result, LLMs have become a key tool for a wide range of NLP applications. ChatGPT , a chatbot developed by the OpenAI team, is an example of an LLM.

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. You can also access the foundation models thru Amazon SageMaker Studio. Instruction tuning is a technique that involves fine-tuning a language model on a collection of NLP tasks using instructions.

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IBM Journey to AI blog

OCTOBER 16, 2023

For example, many use it to contact users who leave products in their cart or exit their website. Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition. This communication can involve speech recognition, speech-to-text conversion, NLP, or text-to-speech.

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IBM Journey to AI blog

SEPTEMBER 5, 2023

Now, more than ever, different types of chatbot technology plays an increasingly prevalent role in our lives, from how we receive customer support or decide to purchase a product to how we handle our routine tasks. You may have interacted with these chatbots via SMS text messaging, social media or with messenger applications in the workplace.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker makes it straightforward to deploy machine learning (ML) models for real-time inference and offers a broad selection of ML instances spanning CPUs and accelerators such as AWS Inferentia. We talk about its benefits over the default routing mechanism and how you can enable LOR for your model deployments.

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Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. Is generative AI about to become the key driver for increased productivity? a social media post or product description).

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John Snow Labs

MAY 31, 2023

Welcome to Part II of the blog series on extracting entities from text reviews using NLP Lab. In the first part of the blog, we discussed the challenges faced by a market research company as they aimed to extract relevant entities from a vast dataset of hotel reviews.

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NVIDIA

NOVEMBER 15, 2023

Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. But to deliver authoritative answers that cite sources, the model needs an assistant to do some research. That builds trust.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. They can also be used to develop and validate performance and accuracy of DL workloads that will be deployed on Qualcomm devices.

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IBM Journey to AI blog

OCTOBER 9, 2023

How HR departments are using AI AI use in HR refers to the deployment of machine learning (ML), natural language processing (NLP) and other AI technologies to automate human resources tasks and support decision-making. These conversations are happening as the workforce is undergoing a major change.

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IBM Journey to AI blog

AUGUST 28, 2023

This encompasses their finance, sales, supply chain, inventory management and production areas. This approach would center on a “self-service” model, empowering users to source and share key data. Over time, adopters to the new model included Sales, Operations, Production, Inventory Management, Finance, Editorial and HR.

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Pickl AI

MARCH 27, 2023

But there is much more to NLP, and in this blog, we are going to dig deeper into the key aspects of NLP, the benefits of NLP and Natural Language Processing examples. What is NLP? Natural Language Processing (NLP) focuses on enabling computers to understand, interpret, and generate human language.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract , Amazon Transcribe , and Amazon Comprehend. In this post, we explain how to build and optimize a custom classification model using Amazon Comprehend.

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AWS Machine Learning Blog

MARCH 22, 2024

The AI Content Generator powered by Amazon Bedrock is an app available on the Contentful Marketplace that allows users to create, rewrite, summarize, and translate content using cutting-edge generative artificial intelligence (AI) models available and accessible through Amazon Bedrock in a simple and secure manner.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Internally, employees can often spend countless hours hunting down information they need to do their jobs, leading to frustration and reduced productivity. Whether seeking answers to a product-related question or needing information about operating hours and locations, a poor experience can lead to frustration, or worse, a customer defection.

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Bugra Akyildiz

MAY 12, 2024

Articles Apple wrote a blog post that presents a hybrid machine learning approach for personalizing heart rate prediction during exercise by combining a physiological model based on ordinary differential equations (ODEs) with neural networks and representation learning. on heart rate dynamics.

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AWS Machine Learning Blog

MAY 15, 2024

ONNX Runtime is the runtime engine used for model inference and training with ONNX. times compared to the armv8 DOT product instruction-based kernels. The bfloat16 support allows efficient deployment of models trained using bfloat16, fp32, and automatic mixed precision (AMP) without the need for quantization.

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Towards AI

JANUARY 4, 2024

Google’s launch of Gemini, proclaimed as a groundbreaking AI model and their most potent yet, signals a continued surge in AI advancements. Despite some confusion, it could become a strong rival to other AI models, even though its full impact and release date are still uncertain.

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Allen AI

FEBRUARY 1, 2024

As the world races to deploy AI models that are effective and safe, the demand for Open Large Language Models (LLMs) has exploded. The massive adoption of both open and closed AI models means that AI capabilities have leapfrogged our ability to understand how they are created.

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Towards AI

JANUARY 4, 2024

Google’s launch of Gemini, proclaimed as a groundbreaking AI model and their most potent yet, signals a continued surge in AI advancements. Despite some confusion, it could become a strong rival to other AI models, even though its full impact and release date are still uncertain.

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AWS Machine Learning Blog

FEBRUARY 20, 2024

In this post, we discuss deploying scalable machine learning (ML) models for diarizing media content using Amazon SageMaker , with a focus on the WhisperX model. The WhisperX model, based on OpenAI’s Whisper , performs transcriptions and diarization for media assets. This process is called speaker diarization.

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AWS Machine Learning Blog

AUGUST 14, 2023

This blog post is co-written with Tuana Çelik from deepset. With the advent of large language models (LLMs), we can implement conversational experiences in providing the results to users. With the advent of large language models (LLMs), we can implement conversational experiences in providing the results to users.

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Google Research AI blog

APRIL 19, 2023

Our work advances Responsible AI (RAI) in areas such as computer vision , natural language processing , health , and general purpose ML models and applications. We must also understand the range of possible impacts that ongoing use of such technologies may have on vulnerable communities and broader social systems.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. In this pattern, the recipe text is converted into embedding vectors using an embedding model, and stored in a vector database.

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Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). The way we create and manage AI-powered products is evolving because of LLMs. What is LLMOps?

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AWS Machine Learning Blog

MAY 10, 2023

Amazon SageMaker provides a broad selection of machine learning (ML) infrastructure and model deployment options to help meet your ML inference needs. We cover computer vision (CV), natural language processing (NLP), classification, and ranking scenarios for models and ml.c6g, ml.c7g, ml.c5, and ml.c6i SageMaker instances for benchmarking.

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IBM Journey to AI blog

OCTOBER 9, 2023

As governments around the globe continue experimenting with the use of AI, and looking into ways to tap into foundational models offered by generative AI, one important question stands out: How will citizens benefit from the technology? Increased productivity and powerful contributions to society as a whole. The potential result?

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Mlearning.ai

SEPTEMBER 16, 2023

The Future of NLP Deployment: BERT Models and KServe in Action In this post, I will demonstrate how to deploy a HuggingFace pre-trained model (BERT for text classification with the Hugging Face Transformers library) to run as a KServe-hosted model. Model serving using KServe (Photo by Kubeflow ) ?‍

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Heartbeat

OCTOBER 5, 2023

The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. "GPT is like alchemy!" — Ilya

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ODSC - Open Data Science

APRIL 14, 2023

The company has been growing rapidly in recent years and is currently looking for talented individuals to join their team in a variety of roles, including software engineers, product managers, and security analysts. Hugging Face Hugging Face is a startup that specializes in NLP and machine learning.

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Marktechpost

JULY 22, 2023

Large Language Models (LLMs) are the current hot topic in the field of Artificial Intelligence. The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. This means that any language model can be run on local devices without the need for a server or cloud-based infrastructure.

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