Found 70 repositories(showing 30)
llmware-ai
Unified framework for building enterprise RAG pipelines with small, specialized models
AIAnytime
SLIM Models by LLMWare. A streamlit app showing the capabilities for AI Agents and Function Calls.
AIAnytime
llmware RAG Demo App.
AJ1904
A Streamlit app that transcribes audio using LLMware models, analyzes the text for insights, and includes an interactive Dragon model chatbot.
Harshit-shrivastav
Teaching video generator AI.
fabiomatricardi
Repo of the code from the Medium article
Garvanand
No description available
ShubhamTiwary914
InnerSight is a sentiment analysis LLM Integrated - Web App for Therapeutic Conversations.
nithamitabh
No description available
Sgvkamalakar
Gita Summarizer extracts key insights from the Bhagavad Gita, aiding comprehension. Built with Streamlit, Azure Speech-to-Text, and LLMWare for summarization.
Chelseasingla1
No description available
k0msenapati
💬 Chat effortlessly with 🤖 using LLMWare "Phi-3-GGUF", 🗣️ enjoy personalized interactions...
AdomBoateng
A demo app to create a simple insurance chatbot using LLMware's bling RAG model and Insurance BERT model.
mtelias2
Nano GPT training LLM adding llmware
Rishi2330
No description available
ipragati30
No description available
ShyamSunder89
No description available
akshithsrinivas23bce5078
No description available
nbr9097
landing page
dar4datascience
No description available
mzaid295
Streamlit app showcasing the capabilities of AI Agents and Function Calls using SLIM Models by LLMWare.
RS-labhub
A powerful chatbot made using LLMWARE that can answer all your doubts whether it's your science question or maths homework. 🧟
JuanitaCathy
StudyDash is an advanced study companion application designed to streamline your study experience. It integrates powerful AI tools powered by LLMWare to provide various features such as document summarization, sentiment analysis for essays, and interactive Q&A with a chatbot.
1-egyptianfalcon
LLMware
FarahFauth31
RAG test using llmware
sohomx
SLIM models by LLMWare
haseeb-555
learning the use of llmware
yojackleon
No description available
sivavisha
No description available
muthu-0
No description available