Slides - Large Language Model

Overview of Large Language Models (LLMs)Large Language Models (LLMs) are a class of artificial intelligence models designed to understand, generate, and manipulate human language. These models are built using deep learning techniques, particularly neural networks with architectures such as transformers. LLMs are trained on vast amounts of text data, allowing them to capture intricate patterns, structures, and nuances of human language. They have the capacity to perform a variety of natural language processing (NLP) tasks, from text generation to translation and sentiment analysis. Key Features of LLMs
Applications of Large Language Models
Open Source vs. Closed LLMsOpen Source LLMsAdvantages:
Examples:
Closed LLMsAdvantages:
Examples:
ConclusionLarge Language Models represent a significant advancement in the field of artificial intelligence, offering versatile and powerful tools for a wide range of NLP tasks. Open source LLMs provide accessibility and community-driven development, while closed LLMs offer optimized performance and professional support. Both types of models have their unique advantages and are suited to different applications and user needs. As the field progresses, we can expect further innovations and expansions in the capabilities of LLMs. |
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