Pavansomisetty21

Eagerly looking for a job to contribute my skills and knowledge

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Public repos: 68Public gists: 0

Visual-Question-Answering-Pixtral_Vision_Finetuning_Unsloth

In this we finetune Pixtral-12B-2409 model using unsloth for visual Question Answering(NLP Task)

language: Jupyter Notebook

created at: 2025-01-02

updated at: 2025-01-02

Qwen2-Vision-Finetuning-Unsloth---Maths-OCR-Formulae-Extraction-

we finetune unsloth llama model to extract mathematical fomulas in the images with optical character recognition(OCR)

language: Jupyter Notebook

created at: 2025-01-02

updated at: 2025-01-02

A-Fine-Tuned-Model-for-Medical-Named-Entity-Recognition-using-Gemini-LLM

In this we finetuned the Gemini model with our own medical NER dataset and used to recognize Name Entities

language: Jupyter Notebook

created at: 2024-10-01

updated at: 2024-11-20

Langchain-Tutorial

langchain tutorial using gemini

language: Jupyter Notebook

created at: 2024-08-30

updated at: 2024-09-04

LLM-Text-Masking-to-protect-Sensitive-Data

In this we hide the sensitive data using GEMINI LLM

language: Jupyter Notebook

created at: 2024-08-26

updated at: 2024-08-26

Visual-Question-Answering-using-Gemini-LLM

In this we explore into visual Question Answering Using Gemini LLM and image was in URL or any other extension

language: Jupyter Notebook

created at: 2024-08-24

updated at: 2024-09-11

Image-Emotion-Detection-by-using-LLMs-and-Emotion-Analysis-technique-

In this we explore that extracting image description from image and image was given as URL and by Emotion Analysis Technique we analyse the emotion of the Image by it's Description

language: Jupyter Notebook

created at: 2024-08-22

updated at: 2024-08-22

Tabular-Question-Answering-on-Relational-data-and-CSV-data-with-Gemini-LLM

In this we explore into a Question Answering task on structured relational data (Tables) and CSV data

language: Jupyter Notebook

created at: 2024-08-16

updated at: 2024-11-09

Youtube-video-and-Local-video-content-extraction-and-Summarize-it-using-GEMINI

In this we have done that extraction of transcription(data) from youtube video and summarize it and In case of Local video we extract audio from video later it will be transformed to text to summarize

language: Jupyter Notebook

created at: 2024-08-14

updated at: 2024-08-15

Youtube-video-and-Local-video-content-extraction-and-Summarize-it-using-GEMINI

In this we extract the data from the youtube url and local device video content ,the Extracted data will be summarized by using LLM called GEMINI

created at: 2024-08-14

updated at: 2024-08-14

Image-Caption-Generation-using-LLMs-GEMINI-

we generate captions to the images which are given by user(user input) using prompt engineering and Generative AI

language: Jupyter Notebook

created at: 2024-06-21

updated at: 2024-10-25