It may seem that nowadays, when the article does not use the abbreviation LLM (Large Language Model) for AI (Artificial Intelligence), the article has a reduced value, although its message may have had some value.
It may be that the general information flow is overwhelmed with news about the use of artificial intelligence systems. I can offer another perspective, the perspective where the public is eager to understand. Yes, to understand what these artificial intelligence systems are and how they contribute, deterministically contribute, to everyday business or the development of humanity.
In recent years, I have worked on various types of machine learning or knowledge base systems. Some of them used probability theories and advanced mathematics to calculate the most likely outcomes. It all requires continual reading of research articles or modifying current approaches based on newly gained understanding. I feel like field of current Large Language Models based on neural networks and weights requires the same in order to keep understanding what has been achieved and evaluate the current state.
Knowledge is language independent, but it also requires the right stimulation. I was pleased to see that in our JavaChampion group there is a great need to share knowledge and actively contribute to the process of spreading awareness about all the possibilities not only in the field of LLM, but also in all areas of artificial intelligence in general. Artificial intelligence has much more to offer and it is worth discovering.
Foojay.io - JC-AI-Newsletter Vol. 1
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