Custom GPT
Dr.B.Monica Jenefer, Jeff Samuel S, Manvith BV, Yugabharathi R.
Python, Fast API, Langchain, Mistral, PWA (Progressive Web Application), JavaScript, LLM (Large language model), Fine Tuning, Mongo Db.
In today's rapidly advancing technological landscape, the demand for accessible and powerful AI solutions is ever-growing. Large Language Models (LLMs) have emerged as fundamental tools across various applications, yet traditional LLMs present limitations such as a constrained context window and lack of additional features. To address these issues and meet the pressing demand for a comprehensive solution, this project introduces Custom GPT, an innovative platform designed to democratize access to LLM applications while incorporating advanced functionalities. Custom GPT is a user-friendly, free, and open-source ecosystem that fosters collaboration and innovation among a diverse user base, including students and professionals. Leveraging the capabilities of Mistral, an open-source language model, Custom GPT empowers users to effortlessly develop and share AI applications tailored to their specific use cases. Through a streamlined process of few-shot prompting, users can articulate their app ideas and create bespoke applications without the need for extensive coding skills. In addition to overcoming the limitations of traditional LLMs, Custom GPT offers a wide range of supplementary functionalities, including a code interpreter, to enhance the user experience. This comprehensive platform serves as a hub for users to discover, create, and share AI applications, thereby fostering a collaborative ecosystem where innovation thrives. By providing a platform that is both accessible and feature rich, Custom GPT aims to revolutionize the way users interact with and harness the capabilities of LLMs. Through its commitment to openness, accessibility, and innovation, Custom GPT stands as a potential benchmark in the realm of AI application development, empowering users to unlock the full potential of large language models for their diverse needs.
Article Details
Unique Paper ID: 163899

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2600 - 2603
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