IBM Journey to AI blog

FEBRUARY 14, 2024

Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

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Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Almost every industry is utilizing the potential of AI and revolutionizing itself.

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IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. And with advanced software like IBM Watson Assistant , social media data is more powerful than ever. What is text mining?

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Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Viso.ai

NOVEMBER 19, 2023

This article provides an overview of AI software products worth checking out in 2024. 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.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. ChatGPT is a next-generation language model (referred to as GPT-3.5) Researchers are developing techniques to make LLM training more efficient.

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Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 595–605. ALLDATA, The Second Inter-national Conference on Big Data, Small Data, Linked Data and Open Data (2016).

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Machine Learning ChatGPT Natural Language Processing Categorization 111

AWS Machine Learning Blog

APRIL 24, 2023

Since conversational AI has improved in recent years, many businesses have adopted cutting-edge technologies like AI-powered chatbots and AI-powered agent support to improve customer service while increasing productivity and lowering costs. About the Authors Ray Wang is a Solutions Architect at AWS.

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Marktechpost

JUNE 27, 2023

A wide variety of services, including predictive analytics, deep learning, application programming interfaces, data visualization, and natural language processing, are available from various suppliers. The service provider’s data centers take care of all the computing.

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Machine Learning Data Scientist Artificial Intelligence Artificial Intelligence 56

Pickl AI

SEPTEMBER 11, 2024

Trained on vast datasets, it understands and produces text that resembles natural human language, making it highly versatile and widely used in various applications. Overview of ChatGPT and Its Key Features ChatGPT’s core strength lies in its natural language processing (NLP) capabilities.

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Topbots

JULY 29, 2024

Content: Understanding LLMs: Learn how large language models work to effectively leverage them in your development process. Pair-Coding with LLMs: Modify data structures for production and handle big data scales efficiently with the assistance of an LLM.

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Generative AI Large Language Models Prompt Engineering Prompt Engineer 52

Marktechpost

NOVEMBER 4, 2024

PyTorch The deep learning framework PyTorch is well-known for its adaptability and broad support for applications like computer vision, reinforcement learning, and natural language processing. Deep learning practitioners choose it because of its large community and libraries.

Data Analysis 81

Data Analysis Machine Learning Data Science Python 81

Marktechpost

NOVEMBER 1, 2024

PyTorch The deep learning framework PyTorch is well-known for its adaptability and broad support for applications like computer vision, reinforcement learning, and natural language processing. Deep learning practitioners choose it because of its large community and libraries.

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