esy Journal is primarily a publication dedicated to sharing case studies and tutorials that illustrate the use of large language models (LLMs) like OpenAI's ChatGPT, Meta’s Llama, and Google Bard as a research method.
The secondary purpose of esy Journal is rooted in the general study and research of intelligence, so you can expect me to dabble into subjects like NeuroScience and Developmental Psychology in children. My approach to learning is based on a personal revision of the acronym STEM: Study, Teach, Engineer, Master.
Put simply, it means to master a thing, you should demonstrate an ability to teach it and effectively engineer a functional application based on its principles, which, in theory, validates a thorough understanding of the thing. In that sense, this is a very technical journal where most entries will contain coding examples and references to explain core ideas.
I’m looking forward to exploring the applications of artificial intelligence and the various manifestations of natural intelligence with you.
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