Artificial intelligence

Natural Language Processing: Current Uses, Benefits and Basic Algorithms by Orkun Orulluoğlu NLU goes beyond the structural understanding of language to interpret intent, resolve context and word ambiguity, and even generate well-formed human language on its own. Natural language processing includes many different techniques for interpreting human language, ranging from statistical and machine learning methods […]

LoRA: Low-Rank Adaptation of Large Language Models Parameter-efficient fine-tuning of LLMs is a rapidly evolving field that addresses the challenges posed by computational and memory requirements. Techniques like LORA and QLORA demonstrate innovative strategies to optimize fine-tuning efficiency without sacrificing task performance. These methods offer a promising avenue for deploying large language models in real-world

What Is Natural Language Processing? In the above output, you can see the summary extracted by by the word_count. From the output of above code, you can clearly see the names of people that appeared in the news. Every token of a spacy model, has an attribute token.label_ which stores the category/ label of each