This report is part of AI HUB 2.0 technical report series and it provides a comprehensive exploration of Large Language Models (LLMs) within the context of software development, offering insights into their definition, examples, applications, and integration strategies. It delves into the essential concepts and terminology pertinent to LLMs, including natural language processing (NLP), tokenization, embedding, attention mechanisms, pre-training, transfer learning, fine-tuning, and the transformer model architecture. The text further discusses popular LLM architectures for software engineering, emphasizing cloud-based solutions and their advantages.
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Report-AI-Hub-2.0.-Application_of_LLM_is_Software_Engineering__Report2