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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Metadata Explainability Automation Explainable AI 220

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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ESG Categorization Large Language Models NLP 238

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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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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Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 122

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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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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Generative AI Responsible AI Neural Network Natural Language Processing 200

Heartbeat

JULY 18, 2023

Source: Author Natural Language Processing (NLP) is a field of study focused on allowing computers to understand and process human language. There are many different NLP techniques and tools available, including the R programming language. Understanding Random Forest” , Analytics Vidhya Comet-ML.

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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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Automation Neural Network AI AI 258

Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. This integration combines visual features extracted from images with language models to generate descriptive and contextually relevant captions.

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Natural Language Processing Computer Vision NLP Algorithm 52

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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Explainability Computer Vision Convolutional Neural Networks AI 175

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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Large Language Models LLM Natural Language Processing Explainability 105

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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Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

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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Machine Learning Robotics Neural Network Natural Language Processing 187

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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Large Language Models DevOps AI Modeling Data Science 238

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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Natural Language Processing Large Language Models Explainability LLM 97

Unite.AI

JULY 28, 2023

Surfer SEO is a robust tool for optimizing blog posts, boosting organic rankings, and driving traffic. To explain each feature fully, I'll give you a tour of each one and try it myself. Whether you're writing blogs , crafting a content strategy, or revamping old content, the Content Editor is an essential tool in your arsenal.

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AI AI Artificial Intelligence Artificial Intelligence 246

Unite.AI

NOVEMBER 17, 2023

Colossyan Creator is an AI video generator that simplifies the video creation process for content creators, marketers, and small business owners. The AI video platform leverages machine learning and natural language processing to enhance the learning experience for video content creators. I added this as my script.

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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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ChatGPT Chatbots Natural Language Processing AI Chatbots 170

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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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. Explainability and trust : Understanding how AI models arrive at their outputs will build trust and confidence in their capabilities.

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Conversational AI Chatbots NLP AI 291

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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AWS Machine Learning Blog

DECEMBER 5, 2024

For use cases where accuracy is critical, customers need the use of mathematically sound techniques and explainable reasoning to help generate accurate FM responses. To learn more about model and RAG evaluation capabilities, see News blog. For more information on how Amazon Nova was built responsibly, read the Amazon Science blog.

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Responsible AI AI Tools AI AI 117

Unite.AI

AUGUST 9, 2024

For example, a writer can use Claude AI to generate a detailed blog post outline and draft sections while receiving grammar and style suggestions for a polished final edit. Researchers and data analysts can use Claude AI to simplify data processing and enhance workflow. It was time to put Claude AI to the test! ”) and hit Enter.

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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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IBM Journey to AI blog

SEPTEMBER 5, 2023

In this blog, we’ll touch on different types of chatbots with various degrees of technological sophistication and discuss which makes the most sense for your business. Learn more about how to leverage AI chatbots in your business The post 5 types of chatbot and how to choose the right one for your business appeared first on IBM Blog.

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Chatbots AI Chatbots Conversational AI NLP 184

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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BERT NLP Natural Language Processing Prompt Engineer 135

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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Machine Learning ETL Deep Learning Natural Language Processing 173

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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Explainability Machine Learning Data Scientist Deep Learning 52

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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AI AI Natural Language Processing Explainability 111

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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Prompt Engineer Prompt Engineering Data Scientist Natural Language Processing 98

Flipboard

FEBRUARY 3, 2023

“The final product of Truleo’s Audio Analysis is a rich analysis of thousands of conversations, enabling departments to quickly identify at-risk incidents and department-wide trends,” the company said in a blog post explaining how the AI platform works.

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AWS Machine Learning Blog

FEBRUARY 12, 2024

Essential ML capabilities such as hyperparameter tuning and model explainability were lacking on premises. In both cases, the evaluation and explainability report, if generated, are recorded in the model registry. Explain – SageMaker Clarify generates an explainability report. AWS_ACCOUNT] region = eu-central-1.

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AWS Machine Learning Blog

MARCH 13, 2024

The LLM analysis provides a violation result (Y or N) and explains the rationale behind the model’s decision regarding policy violation. The Anthropic Claude V2 model delivers responses in the instructed format (Y or N), along with an analysis explaining why it thinks the message violates the policy.

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LLM Natural Language Processing Prompt Engineer Prompt Engineering 137

AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. This could be an actual classifier that can explain why the model refused the request.

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Large Language Models LLM Big Data Natural Language Processing 139

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

OCTOBER 20, 2023

Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition. That said, selecting a platform can be a challenging process, as the wrong system can drive increased costs as well as potentially limit the use of other valuable tools or technologies.

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AWS Machine Learning Blog

JUNE 25, 2024

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. Handling rare categories and imbalanced data Can generate text for rare or unseen categories by using its understanding of context and language semantics.

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Automation Prompt Engineer Prompt Engineering Categorization 132