---
datasets:
- jaeyeol816/ai_lecture
language:
- en
base_model:
- google/gemma-2-2b
pipeline_tag: question-answering
---
# Model Card for Model ID

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## Model Details

### Model Description

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- **Developed by:** Jaeyeol Choi, Yuchan Jung
- **Model type:** LLM
- **Language(s) (NLP):** English
- **Finetuned from model [optional]:** https://huggingface.co/google/gemma-2-2b

### Model Sources [optional]

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- **Repository:** https://github.com/YuchanJung/AI-Instructor

## Uses

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### Direct Use

Can be used as an assistant for students who are studying machine learning and deep learning.


### Recommendations

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Users should crosscheck the answer.

## How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

## Training Details

### Training Data

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https://huggingface.co/datasets/jaeyeol816/ai_lecture

### Training Procedure

https://github.com/YuchanJung/AI-Instructor?tab=readme-ov-file#model-training

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->


#### Training Hyperparameters

- **Training regime:** Basic <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->




### Results

https://github.com/YuchanJung/AI-Instructor?tab=readme-ov-file#results

#### Summary
This project focuses on building an AI Instructor, a Q&A bot, using transcripts from the Andrew Ng's Deep Learning course. It was created specifically for the juniors of the Google ML Bootcamp to provide them with an interactive tool to deepen their understanding of key machine learning concepts. The provided model was created by fine-tuning the Gemma-2B model on a custom-generated Q&A dataset derived from the lecture content.




## Model Card Contact

[More Information Needed]