Price: $49.99 – $47.42
(as of Dec 26,2024 14:21:40 UTC – Details)
Publisher : Packt Publishing (June 30, 2023)
Language : English
Paperback : 326 pages
ISBN-10 : 1804613428
ISBN-13 : 978-1804613429
Item Weight : 1.25 pounds
Dimensions : 9.25 x 7.52 x 0.68 inches
Natural Language Understanding with Python: Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
In recent years, natural language understanding (NLU) has made significant advancements thanks to the integration of natural language technology, deep learning, and large language models. These technologies have enabled computer systems to comprehend and generate human-like language, allowing for more sophisticated interactions between humans and machines.
Python, a popular programming language for data science and machine learning, has become a go-to tool for developing NLU applications. With its vast array of libraries and tools, Python makes it easier to implement complex algorithms and models required for NLU tasks.
By combining natural language technology, deep learning techniques such as neural networks, and large language models like GPT-3, developers can create computer systems that understand and generate human language with a high degree of accuracy and fluency. These systems can be used for a wide range of applications, including chatbots, virtual assistants, sentiment analysis, and text summarization.
Overall, the integration of natural language technology, deep learning, and large language models in Python has paved the way for more advanced NLU systems that can mimic human-like language comprehension. As these technologies continue to evolve, we can expect even more sophisticated and intelligent interactions between humans and machines in the future.
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