* feat(fine-tuned-RAG): add DatasetPrep.ipynb file for dataset preparation
* feat(DatasetPrep.ipynb): add code for downloading validation.json file

* docs(ModelFinetune.ipynb): add comments to code

…Qdrant to improve RAG model

* feat(fine-tuned-RAG): use Qdrant for finetuning and inference changes

…gitignore file

* fix(ModelFinetune.ipynb): update generated answer for few-shot question
* fix(ModelFinetune.ipynb): update count percentages for different answer types

* feat(ModelFinetune.ipynb): add new sections for Qdrant integration and Few-Shot Learning
* fix(ModelFinetune.ipynb): fix typo in section title

… notebook

* fix(ModelFinetune.ipynb): fix heading for the setting up section
* fix(ModelFinetune.ipynb): fix heading for the data preparation section

…to the blog post

* feat(ModelFinetune.ipynb): add section on why to read the blog post

…n section

* feat(ModelFinetune.ipynb): add information about reducing hallucinations in the introduction section

…f the notebook and target audience

…ss for fine-tuning the OpenAI model

…valuation section

…ne-tuning chat models

…nd add more details in the comment

…local_cache/

…ding for plotting the results

…tent

* docs(ft_retrieval_augmented_generation.ipynb): add instructions and insights to the results breakdown

… and update section numbering

* feat(ft_retrieval_augmented_generation.ipynb): add new section for evaluation
* fix(ft_retrieval_augmented_generation.ipynb): fix section numbering and update section

…ft_retrieval_augmented_generation_qdrant.ipynb

…all command

* feat(ft_retrieval_augmented_generation_qdrant.ipynb): add cell to set OpenAI and Qdrant keys