Abstract:
Artificial Intelligence (AI), along with Natural Language
Processing (NLP), has made a revolutionary impact on technology in recent
years. The usability of Large Language Models (LLMs) has become a
primary focus among enthusiasts. However, without sophisticated
computational power and sufficient finances, LLMs are restricted from
being used by individual developers. This paper examines how empathy
can be embedded into LLMs. The implemented model will influence the
user’s mentality in a positive manner by exploiting the findings of
Cognitive Behavioral Therapy (CBT). The approach taken to conquer this
goal consists of (1) prompt-engineering methods, which customize and
automate the generated prompt with the intention of including prompt-
based learning opportunities for the model, and (2) a supervised model to
enrich the context of the conversations. Thorough comparisons, along with
the experimental processes carried out, are discussed here. Finally, it's
factually proven that this strategic, intuitive approach towards the archival
of this goal could lead to greater success, shining light on a new perspective
in the field of NLP.
