1. Efficiently Train Large Language Models with LoRA and Hugging Face | Details and code for efficient training of large language models using LoRA and Hugging Face. | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
2. Fine-Tune Your Own Llama 2 Model in a Colab Notebook | Guide to fine-tuning your Llama 2 model using Colab. | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
3. Guanaco Chatbot Demo with LLaMA-7B Model | Showcase of a chatbot demo powered by LLaMA-7B model. | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
4. PEFT Finetune-Bloom-560m-tagger | Project details for PEFT Finetune-Bloom-560m-tagger. | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
5. Finetune_Meta_OPT-6-1b_Model_bnb_peft | Details and guide for finetuning the Meta OPT-6-1b Model using PEFT and Bloom-560m-tagger. | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
6.Finetune Falcon-7b with BNB Self Supervised Training | Guide for finetuning Falcon-7b using BNB self-supervised training. | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
7.FineTune LLaMa2 with QLoRa | Guide to fine-tune the Llama 2 7B pre-trained model using the PEFT library and QLoRa method | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
8.Stable_Vicuna13B_8bit_in_Colab | Guide of Fine Tuning Vecuna 13B_8bit | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
9. GPT-Neo-X-20B-bnb2bit_training | Guide How to train the GPT-NeoX-20B model using bfloat16 precision | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
10. MPT-Instruct-30B Model Training | MPT-Instruct-30B is a large language model from MosaicML that is trained on a dataset of short-form instructions. It can be used to follow instructions, answer questions, and generate text. | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
11.RLHF_Training_for_CustomDataset_for_AnyModel | How train a Model with RLHF training on any LLM model with custom dataset | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
12.Fine_tuning_Microsoft_Phi_1_5b_on_custom_dataset(dialogstudio) | How train a model with trl SFT Training on Microsoft Phi 1.5 with custom | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
13. Finetuning OpenAI GPT3.5 Turbo | How to finetune GPT 3.5 on your own data | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
14. Finetuning Mistral-7b FineTuning Model using Autotrain-advanced | How to finetune Mistral-7b using autotrained-advanced | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
15. RAG LangChain Tutorial | How to Use RAG using LangChain | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
16. Knowledge Graph LLM with LangChain PDF Question Answering | How to build knowledge graph with pdf question answering | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |
17. Text to Knolwedge Graph with OpenAI Function with Neo4j and Langchain Agent Question Answering | How to build knowledge graph from text or Pdf Document with pdf question Answering | ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) |