IBM Journey to AI blog

MAY 21, 2024

But for a football scout, it’s the daily lexicon of the job, representing crucial language that helps assess a player’s value to a team. Because Sevilla FC was able to clearly explain its challenges and goals—and IBM asked the right questions—the technology soon followed.

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AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). In this post, we illustrate the use of Clarify for explaining NLP models.

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Heartbeat

SEPTEMBER 7, 2023

In the ever-evolving landscape of machine learning and artificial intelligence, understanding and explaining the decisions made by models have become paramount. Enter Comet , that streamlines the model development process and strongly emphasizes model interpretability and explainability. Why Does It Matter?

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IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is generative AI? What is watsonx.governance?

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AI Weekly

APRIL 11, 2024

Read the blog] global.ntt In The News When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria mit.edu Microsoft AI opens London hub to access ‘enormous pool’ of talent Microsoft is doubling down on its AI efforts in the UK with the opening of a major new AI hub in London. No legacy process is safe.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. appeared first on IBM Blog. Let’s embrace the age of AI value creation together.

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Towards AI

APRIL 9, 2024

Large language models (LLMs) have transformed the field of natural language processing with their advanced capabilities and highly sophisticated solutions. By fine-tuning a model on a small dataset of task-specific data, you can improve its performance on that task while preserving its general language knowledge.

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IBM Journey to AI blog

SEPTEMBER 24, 2024

“AI could lead to more accurate and timely predictions, especially for spotting diseases early,” he explains, “and it could help cut down on carbon footprints and environmental impact by improving how we use energy and resources.” We get tired, lose our focus, or just physically can’t see all that we need to.

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Towards AI

JANUARY 2, 2024

In this article, I will introduce you to Computer Vision, explain what it is and how it works, and explore its algorithms and tasks.Foto di Ion Fet su Unsplash In the realm of Artificial Intelligence, Computer Vision stands as a fascinating and revolutionary field. Join thousands of data leaders on the AI newsletter.

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IBM Journey to AI blog

OCTOBER 16, 2023

The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. ” Are foundation models trustworthy? . ” Are foundation models trustworthy?

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Unite.AI

AUGUST 20, 2023

With its advanced algorithms and natural language processing capabilities, Copy.ai With its advanced algorithms and natural language processing capabilities, Copy.ai By the end of this blog, you will clearly understand whether Copy.ai In this review, we will dive deep into what exactly Copy.ai

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Cassie Kozyrkov

NOVEMBER 13, 2024

Explaining the CPUs, GPUs, and NPUs in Intel ® ’s AI PCs Sponsored by Intel® So there I was — an AI person without an AI laptop. This blog post, however, is sponsored by Intel, not espresso because… there I was, an AI person without an AI laptop. (It For those who are new to these terms, I’ve put an explainer in the footnotes for you.*

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IBM Journey to AI blog

MARCH 27, 2024

However, while spend-based commodity-class level data presents an opportunity to help address the difficulties associates with Scope 3 emissions accounting, manually mapping high volumes of financial ledger entries to commodity classes is an exceptionally time-consuming, error-prone process. This is where LLMs come into play.

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IBM Journey to AI blog

AUGUST 13, 2024

An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today. Elevate your AI with IBM watsonx. Train, deploy and scale models effortlessly.

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Flipboard

MAY 25, 2023

The blog focuses on GPT models, providing an in-depth understanding and analysis. It explains the three main components of GPT models: generative, pre-trained, and transformers.

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Towards AI

AUGUST 7, 2023

GPT4 explained to me how to hurt someone. In recent years, Large Language Models (LLMs) have revolutionized various industries, from natural language processing to creative writing and customer service. The following list is not comprehensive, but it… Read the full blog for free on Medium.

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IBM Journey to AI blog

JANUARY 15, 2024

Last year, the US Department of State sought feedback on the challenges and security considerations of introducing generative and natural language processing AI into its network. Tasks such as contract writing and management, which are both time-consuming and crucial, might greatly benefit from the application of generative AI.

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Pickl AI

SEPTEMBER 17, 2024

Summary: This blog covers 15 crucial artificial intelligence interview questions, ranging from fundamental concepts to advanced techniques. In this blog post, we will explore 15 essential artificial intelligence interview questions that cover a range of topics, from fundamental principles to cutting-edge techniques.

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Towards AI

NOVEMBER 13, 2024

In this blog, I will quickly recap Whisper and introduce the variants and how to implement them in Python. I will explain vanilla Whisper, Faster Whisper, Whisper X, Distil-Whisper, and Whisper-Medusa. For further information, you can check this blog [2]. Table of Contents What is Whisper?

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Ehud Reiter

AUGUST 25, 2024

Despite, the above, I saw large numbers of papers published about using LSTMs for data-to-text, many of which were of dubious scientific quality ( blog ). ” BERT/BART/etc can be used in data-to-text, but may not be best approach Around 2020 LSTMs got replaced by fine-tuned transformer language models such as BERT and BART.

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IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Follow the Art of A.I.

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IBM Journey to AI blog

JUNE 14, 2023

Hear expert insights and technical experiences during IBM watsonx Day Solving the risks of massive datasets and re-establishing trust for generative AI Some foundation models for natural language processing (NLP), for instance, are pre-trained on massive amounts of data from the internet.

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Unite.AI

SEPTEMBER 11, 2024

While I don’t focus on data analytics as much as I used to, I still really enjoy math—I think math is beautiful, and will jump at an opportunity to explain the math behind an algorithm. However, unlike natural language processing, the time series field lacks publicly accessible large-scale datasets.

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IBM Journey to AI blog

OCTOBER 9, 2023

In the business world, AI could offer companies a competitive edge over peers slow to adopt machine learning, natural language processing (NLP) and generative capabilities. IBM has long argued that AI systems need to be transparent and explainable. Learn more: What can AI and generative AI do for governments?

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Pickl AI

SEPTEMBER 3, 2024

This blog explores their core components, responsibilities, and applications across various industries. Here are some core responsibilities and applications of ANNs: Pattern Recognition ANNs excel in recognising patterns within data , making them ideal for tasks such as image recognition, speech recognition, and natural language processing.

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IBM Journey to AI blog

JANUARY 10, 2024

The traditional approach is well-suited for clearly defined problems with a limited number of possible outcomes, but it’s often impossible to write rules for every single scenario when tasks are complex or demand human-like perception (as in image recognition, natural language processing, etc.).

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Ofemwire

MARCH 1, 2024

AI-generated content, which includes articles, product descriptions, blog posts, and more, needs to be optimized for search engines to ensure visibility and reach the target audience effectively. Email Marketing Best Practices : “Craft an SEO-friendly blog post outlining best practices for running successful email marketing campaigns.

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IBM Journey to AI blog

JULY 6, 2023

This blog post will clarify some of the ambiguity. Natural language processing (NLP) and computer vision, which let companies automate tasks and underpin chatbots and virtual assistants such as Siri and Alexa, are examples of ANI. Your AI must be explainable, fair and transparent. appeared first on IBM Blog.

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Marktechpost

SEPTEMBER 19, 2024

This immense parameter size allows the model to process massive datasets and understand intricate language patterns, offering users responses that are contextually relevant and highly accurate. Check out the Model Card on HF , Blog , and GitHub. All credit for this research goes to the researchers of this project.

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Towards AI

APRIL 10, 2023

Act as a Data Scientist and explain Prompt Engineering. Prompt Engineering is a Natural Language Processing (NLP) technique to create and fine-tune prompts to get accurate responses from the model. As such, prompt engineering has emerged as a crucial area of research in natural language processing and machine learning.

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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. Visit the watsonx webpage to learn more The post How foundation models and data stores unlock the business potential of generative AI appeared first on IBM Blog.

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Pickl AI

AUGUST 14, 2024

Different types of neural networks, such as feedforward, convolutional, and recurrent networks, are designed for specific tasks like image recognition, Natural Language Processing, and sequence modelling. They consist of interconnected nodes that learn complex patterns in data.

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AWS Machine Learning Blog

OCTOBER 24, 2024

It can generate and explain code snippets for UI and backend tiers in the language of your choice to improve developer productivity and facilitate rapid development of use cases. Explain the following code in lucid, natural language to me. More details can be found in the notebook ).

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Pickl AI

JULY 24, 2024

This blog explores the rich history of AI, tracing its origins, key developments, and challenges over the decades. ” During this time, researchers made remarkable strides in natural language processing, robotics, and expert systems. In 2011, IBM’s Watson gained fame by winning the quiz show “Jeopardy!”

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Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., rely on Language Models as their foundation. Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model.

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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.

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Pickl AI

SEPTEMBER 23, 2024

Introduction Deep Learning has revolutionised the tech landscape, driving innovations in AI-powered applications like image recognition, natural language processing, and autonomous systems. Explain the Concept of Forward Propagation. Explain the Concept of Dropout. Explain Long Short-Term Memory (LSTM) Networks.

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