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Learn Generative AI With Google

Unite.AI

In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 This course explores LLMs (Large Language Models) – AI models trained on large amounts of textual data. Google’s Bard AI ” is an excellent example of an LLM that makes advanced human-machine interaction possible. billion in 2023.

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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

Integration of Generative AI and Large Language Models (LLM) with RPA enhances virtual agents’ cognitive abilities, allowing human-like interactions and personalized feedback by learning customer preferences. Simply put, it is a superior iteration of intelligent automation.

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This AI newsletter is all you need #93

Towards AI

As we have discussed, there have been some signs of open-source AI (and AI startups) struggling to compete with the largest LLMs at closed-source AI companies. This is driven by the need to eventually monetize to fund the increasingly huge LLM training costs. So far, a lot of focus has been on fine-tuning with open-source LLM projects.

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Unpacking the NLP Summit: The Promise and Challenges of Large Language Models

John Snow Labs

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). billion by 2028, LLMs play a pivotal role in this growth trajectory. At the recent NLP Summit, experts from academia and industry shared their insights.

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Multilingual content processing using Amazon Bedrock and Amazon A2I

AWS Machine Learning Blog

The global intelligent document processing (IDP) market size was valued at $1,285 million in 2022 and is projected to reach $7,874 million by 2028 ( source ). Extraction with a multi-modal language model The architecture uses a multi-modal LLM to perform extraction of data from various multi-lingual documents.

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