💡 Abstract— Mental health challenges are on the rise in our modern society, and the imperative to address mental disorders, especially regarding anxiety, depression, and suicidal thoughts, underscores the need for effective interventions. This paper...
In the rapidly evolving world of AI, developers are constantly seeking tools that streamline the process of building and deploying applications. Enter Flowise, an open-source, low-code platform designed to simplify the creation of customized LLM (Lar...
Prompt engineering centers around designing the input (the "prompt") to make large language models (LLMs) produce the most useful, accurate, and tailored responses. In essence, prompt engineering includes: Prompt Templates: Defining a "template" for...
In this project, we're building a Similarity Search Application that leverages text embeddings to identify and display items similar to a user-provided word. Specifically, this app provides suggestions for words or objects that are related to an inpu...
1. Imports and Setup Code: import os import streamlit as st from langchain_openai import ChatOpenAI from langchain.schema import HumanMessage, SystemMessage, AIMessage Explanation: Import necessary libraries. os is for environment variable access, ...
1. Install Necessary Packages Code: !pip install langchain==0.1.13 openai==1.14.2 langchain-openai==0.1.0 huggingface-hub==0.21.4 streamlit Output: No visible output, but these installations ensure all necessary packages are available for intera...
What Is LangChain? Learn about LangChain as a framework that helps create complex applications using LLMs by combining different functionalities (e.g., agents, chains, memory) in a structured way. Benefits of LangChain Connect LLMs to external da...
Traditional vs Vector Databases 1. Traditional vs. Vector Databases - Key Differences Traditional Databases: Handle structured data (rows and columns) best, like in SQL databases. Vector Databases: Specialize in unstructured data (images, text, aud...
GenAI: GenAI is trained using lots of data from the web, social media, and other online sources. It creates content by looking at the data and finding patterns. LLM: LLM as the name suggests are large language models which help to provide answers as...
In the rapidly evolving landscape of artificial intelligence, one concept has emerged as a crucial framework for understanding how AI systems think and operate: cognitive architecture. As we push the boundaries of what Large Language Models (LLMs) ca...
