LLM Models Fine-Tuning for QA Generation (Low budget. Study purpose) -- 2

Hello, I will do this project completely for free, and of no cost to you at all, I have extensive experience in python as seen in my LinkedIn([login to view URL]) profile here. I had to set a minimum rate because the site required it of me, but I require no fee at all, only a recommendation when the work is completed and to your satisfaction. Thank you.

Hi there, I checked your requirements and guarantee you that i have relevant experience in Python it's gonna be done within the highest quality . Let's contact via chat so that I can start work immediately

Dear Manoj K., This project seems a very fit work for me. I have done quite the same work some time ago. I would like to grab this opportunity and will work till you get 100% satisfied with my work. I have many years of experience with Python, Prompt Engineering, Large Language Models (LLMs) Please initiate chat and discuss your requirement in details. Regards

Hi, I have +7 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, Please contact me to discuss more. Have a nice day

I got you! An experienced Natural Language Processing (NLP) specialist here, ready to tackle your project on selecting and fine-tuning a Small Language Model for Question Answer Generation from a generic passage like a Python textbook. Offerings include prompt engineering, detailed evaluation pre and post fine-tuning, and a comprehensive technical project report. Rest assured, the final results will be top-notch, consistent, and in a dataframe/table format. Let's kickstart this study-bound venture now! My CREDO: 1-Reputation – is above anything else! 2-I help my customers to grow success and we grow together with our customers! 3-I'm flexible to meet my clients' needs. I make it simple....

Hi there, I understand that your project requires selecting a small LLM model that can be run locally and fine-tuned on Colab, particularly for generating diverse types of question-answer formats from a generic passage. Your pain points likely include ensuring the model's compatibility with low-budget, CPU-based systems while maintaining consistent and usable output, especially when it comes to evaluating the model before and after fine-tuning. To address these concerns, I will first select a lightweight LLM model suitable for local execution, ensuring it meets your resource constraints. Then, I'll fine-tune the model on Colab to enhance its ability to generate various question types. I'll also prepare a detailed technical report, comparing the model’s performance pre- and post-fine-tuning, and present the final results in an easy-to-use dataframe or table format. Let’s collaborate to achieve a practical and efficient solution for your study needs. Best regards, Islam Amer

Hi there! I'm excited about your project and confident in my ability to deliver your project .i have checked and having some doubts , let's connect and discuss the next steps! Ready to quick start. Thank you .

salam alaykom, I am an AI engineer with over 5 years of experience in working with language models and fine-tuning. I can assist you in selecting a small, CPU-based LLM suitable for running locally and fine-tuning on Colab. I will help generate diverse question types from a passage, perform prompt engineering, and evaluate the model's performance before and after fine-tuning. Additionally, I will prepare a detailed technical report and provide the results in a dataframe. Given the study-focused nature of the project, I'll ensure it's cost-effective and practical. Feel free to reach out for more details. alah y3awen,

For your project, use DistilBERT (small LLM) for diverse question generation, fine-tune on Colab, and evaluate results before and after fine-tuning.

Hi! How are you doing? I understand you are looking for a small LLM model that can run locally and generate diverse question types from a Python textbook. I will handle prompt engineering, fine-tuning, and evaluation, ensuring a consistent final result in a dataframe. Please initiate the chat for further discussions and my previous work.

Hi, there. I am very interested in this project "LLM Models Fine-Tuning for QA Generation (Low budget. Study purpose) -- 2". If you don't hire me, you will be damned. Thanks.

I am a detail-oriented and organized individual with a passion for programming. I have completed various projects in Python, including [calculator, snake game etc]. I am committed to continuously learning and improving my skills to ensure that my clients receive the best possible service.

⭐️⭐️⭐️Hello⭐️⭐️⭐️, I've read the description and understand your need for fine-tuning a small LLM model for generating diverse QA types from a text passage. My name is Roren, and I've successfully worked on similar projects, fine-tuning LLMs for educational purposes with a focus on usability and consistency. Using my skills in Python and prompt engineering, I can fine-tune a CPU-friendly model, evaluate its performance, and deliver the results in a well-structured report. Let's collaborate to achieve a cost-effective and effective solution for your study project.

I propose a comprehensive solution for fine-tuning a small LLM model on a generic passage, such as a Python textbook, to generate diverse question types including True/False, Multiple Choice Questions, Match the following, and Fill in the blanks. The project will involve selecting and setting up a suitable model for local use, prompt engineering, and fine-tuning on Colab. Additionally, I will conduct evaluations before and after fine-tuning and provide a detailed technical project report. The final results will be presented in a consistent and usable format, available in a dataframe or table. Given the project's educational purpose and low budget, I will utilize open-source resources and efficient techniques to deliver high-quality results

Expert here! LLM finetuning! Prompt Engineering! Please contact me for more details.

Hello! I can help fine-tune a small LLM like GPT-2 for diverse question-answer generation, including True/False, MCQs, and more. With experience in prompt engineering and model evaluation, I’ll ensure consistent and usable results. I’ll prepare a detailed technical report and present the final output in a structured format like a dataframe. Let’s discuss how I can support your project effectively within your budget! Regards, Prashant

I have 1+ year experience in making QA chatbots and I have fine-tuned using lora and Qlora so I think I am best fit for the project

Dear Manoj K., I have done quite a lot of the same work related to GPT4 and other open sourced LLM. I would like to grab this opportunity and will work till you get satisfied with my work. I have many years of experience with Python, fine-tunning, Large Language Models (LLMs) and related RAG skill. If this model need run in local PC based on CPU, it can only use LLM 7B which need little GPU resource. Let me know more of your fine-tune detail and provide the final solution. Please initiate chat and discuss your requirement in details. Regards

Expert in LLMs, prompt engineering, and fine-tuning; delivering quality, consistent, usable results.

I'm a dedicated data scientist with a strong passion for machine learning and deep learning. With 2 years of hands-on experience in the field, I've been exploring the exciting world of data-driven insights and predictive modeling. My goal is to unravel the hidden patterns within data and transform them into actionable solutions. Always curious and eager to learn, I'm committed to pushing the boundaries of what's possible in the realm of artificial intelligence. Let's innovate together! ??

With over 5 years of experience in machine learning and natural language processing, I've fine-tuned various large language models (LLMs) to meet specific needs, including those that run locally on CPUs and can be fine-tuned on Google Colab. I’ve worked with models like BERT, GPT, and their variants, applying them to tasks such as generating diverse question-answer types from textual sources. In roles as an ML Engineer and through research at IIT Bombay, I’ve honed skills in prompt engineering, LLM fine-tuning, and performance evaluation. I can handle the entire process—from model selection to delivering results in a well-organized dataframe or table. I’ll also provide a detailed technical report with references to official documentation. With my hands-on experience, I’m confident in delivering a high-quality, budget-conscious solution. I look forward to the opportunity to collaborate and bring your project to life.