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10 most in-demand generative AI skills

CIO

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

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From Data Swamp to Data Lake: Data Catalog

Perficient

In the first article in this series, I explained the five components necessary to prevent a Data Lake from Becoming a Data Swamp. The metadata knowledge workers need to understand and use data today continues to become more expansive than in the past.

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

Altexsoft

But despite failing to understand us in some instances, machines are extremely good in making sense of our talking and writing in other examples. And this technology of Natural Language Processing is available to all businesses. Sentiment analysis. Sentiment analysis results by Google Cloud Natural Language API.

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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning - AI

It contains news articles from news sites all over the world. We identify an article as financial news if either it comes from financial news outlets or any keywords show up in the URL. Secondly, we apply a locality sensitive hashing algorithm to deduplicate the new articles and filings. the SEC assigned identifier).

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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. In this article, we’ll explore the essence of document classification, and study the main approaches to categorizing files based on their content. Read our separate article on that.

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GPT 3 vs GPT 4: How is GPT 4 better than GPT 3?

Openxcell

It was developed by OpenAI, a research lab for Artificial Intelligence, and is available as an API. Through its creation process, GPT-3 digested billions of words to develop a deep understanding of human language, analyze the meaning behind words, and generate independent language. What is GPT-4?

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Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

Ever wondered how machines can understand and generate human-like text? Large language models (LLMs) are precisely that – advanced AI models designed to process, understand, and generate natural language in a way that mimics human cognitive capabilities.