In 2024, technological advances are still accelerating, with innovations particularly in the field of artificial intelligence (AI).
In this article, we will explore in depth how artificial intelligence technology is developing, and the impact of these technologies on society and industry.
Technology Trends To Watch In 2024 The Evolution Of Artificial Intelligence Part I - Human Language Processing Ability
1. Progress in Natural Language Processing (Human Language Processing)
One of the most notable advances in artificial intelligence is the field of processing natural languages called Natural Language Processing (NLP).
Natural language refers to the language we use in our daily lives, which means that machines have dramatically improved their ability to understand and generate human languages.
For example, advanced models such as Chat GPT-4 have reached levels that are difficult to distinguish from humans, performing complex conversational, writing tasks, and these advances are increasing the use of AI in various fields such as business, education, and customer service.
The main areas of progress in natural language processing are as follows.
① the advancement of machine translation
Machine translation has come a long way from early rule-based systems to now, deep learning based neural machine translation (NMT).
NMT processes a whole sentence into a single unit and produces more natural translations by considering the context. Tools such as Google Translator and Microsoft Translator utilize this technology to provide real-time translations across multiple languages.
② Interactive AI and Chatbot
Interactive AI has become popular through chatbots, digital assistants (e.g., Siri, Alexa), and more.
These systems are designed to understand the user's questions or requests and provide appropriate responses, with early models starting with simple keyword-based responses, while modern models provide deeper contextual understanding and natural conversational flows.
③ an emotional analysis
Emotion analysis is a technology that automatically identifies the author's emotional state in text data.
It is very useful in social media posts, reviews, and customer feedback, and recent AI models can classify not only positive or negative emotions, but also more detailed emotions such as surprise, joy, and sadness.
④ Summarization and information extraction
Natural language processing techniques are used to extract key information from long text documents or to generate summaries.
For example, it helps you quickly grasp important information from news articles, research papers, and long e-mails. This technology greatly improves the speed and efficiency of data processing and increases the accessibility of information.
⑤ improved language model
Advanced language models such as Chat GPT-4 have trained a huge amount of textual data to maximize language generation and comprehension capabilities.
These models can generate highly sophisticated text and are used in a variety of fields, including writing, scenario writing, and programming code writing, and these advances have been driven by technological advances in deep learning, big data, and improved computing power.
Continuous advances in natural language processing have allowed AI to understand human languages more deeply and utilize them more effectively, transforming the way we communicate in our daily lives and businesses.
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