samman budhathoki@everestCoder

This app is the combination of mutiples work that can be done using LLM. We tried to make the llm to do things by changing the prompt . There is a chatbot. We have text summarizer, that can make good summarization. We also implemented machine translation, we have 6 languages that you can choose from. There other things we have are code explanation and story generation. It is created using streamlit library. A free python library to run ml apps as web service.

We first tried to push the dataset to the API and train the model through Python script but couldn't find any documentations on that. So trained on web platform and also provided dataset as prompts.

AtYou, it is mostly created to extract transcription from youtube and summarize it. The summarization will help people to know more about the video in short span or time or say they dont have to spend their time watching videos. It saves time, helps to know main points , also help in SEO to optimize recommendation by modelling main points. The app will also help people with hearing loss and non-native english speakers.

We are excited to welcome you to the second episode of the Cohere AI Hackathon! In partnership with Cohere, we are giving lablab.ai community access to one of the most powerful AI language models on the market. Join us and innovate to build a better future for everyone!

It is our pleasure to welcome you to the third Cohere AI Hackathon! Our collaboration with Cohere gives lablab.ai community members access to one of the most powerful artificial intelligence language models available. Let's build a better future together! Join us and innovate!

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