Category Archives: llm

Client-Side Language Model Interacting with Server-Side LLM

Note: This article is present in on authors DOI:10.13140/RG.2.2.32564.05768 Generative Pre-trained Transformers (GPT) are neural networks with specific transformer architecture to perform various kinds of applications here we are concerned with language modeling. We all are familiar with Large Language Models based on GPT architecture. This is based on the Encoder Decoder principle, several outputsContinue reading “Client-Side Language Model Interacting with Server-Side LLM”

User-side Query Expansion for Efficient Chatbots with or without Feedback

Note: This article in copy is also present on authors other social media accounts as well. When a query is put on a chatbot be it be chatGPT, copilot, or any other chatbot, the response is based on what query is being asked. Now chatGPT has proposed to use clever AI (see reference [1] below)Continue reading “User-side Query Expansion for Efficient Chatbots with or without Feedback”

Yesterday Copilot massive Bot Supremacy Claim and the ChatGPT Bug!

Here in this article, you can know by example how such texts are produced and their solutions, how to avoid it in the future. Problem Explained and fixes needed in bots. The chatbots can be changing the modes of operation from — poetic to fictional to Shakespeare humor to even threat mode, maybe yesterday’s copilot breakdownContinue reading “Yesterday Copilot massive Bot Supremacy Claim and the ChatGPT Bug!”

What Next RAG (Retrieval Augmented Generation) and LLM.

Note: The article in duplicate is present on authors other social media accounts as well. Let us first consider the open internet case, wherein the internet can be used to improve the results of an LLM. Now, there are cases when the LLM was trained and in this time some new information has been collected.Continue reading “What Next RAG (Retrieval Augmented Generation) and LLM.”