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chore: add links to last paragraph #7

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35 changes: 18 additions & 17 deletions README.md
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## Prerequisites

## 1. Python Programming Language -1 Month

#### Python:

![python-logo-master-v3-TM-flattened](https://user-images.githubusercontent.com/20041231/211717885-0b1e049b-f5b3-457d-ba7a-9345ec3aa39c.png)

1. Complete Python Playlist In English: [![YouTube](https://img.shields.io/badge/YouTube-Video-green)](https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVNUL99R4bDlVYsncUNvwUBB)

2. Complete Python Playlist In Hindi: [![YouTube](https://img.shields.io/badge/YouTube-Video-green)](https://www.youtube.com/watch?v=MJd9d9Mpxg0&list=PLTDARY42LDV4qqiJd1Z1tShm3mp9-rP4v)
2. Complete Python Playlist In Hindi: [![YouTube](https://img.shields.io/badge/YouTube-Video-green)](https://www.youtube.com/watch?v=MJd9d9Mpxg0&list=PLTDARY42LDV4qqiJd1Z1tShm3mp9-rP4v)

3. Flask Playlist: [![YouTube](https://img.shields.io/badge/YouTube-Video-green)](https://www.youtube.com/watch?v=4L_xAWDRs7w&list=PLZoTAELRMXVPBaLN3e-uoVRR9hlRFRfUc)
3. Flask Playlist: [![YouTube](https://img.shields.io/badge/YouTube-Video-green)](https://www.youtube.com/watch?v=4L_xAWDRs7w&list=PLZoTAELRMXVPBaLN3e-uoVRR9hlRFRfUc)

4. Fast API Tutorials [![YouTube](https://img.shields.io/badge/YouTube-Video-green)](https://www.youtube.com/watch?v=WU65u9d-97c&list=PLZoTAELRMXVPgsojPOHF9i0u2L83-m9P7)

## 2. Basic Machine Learning Natural Language Processing (Day 1 - Day 5) [![YouTube](https://img.shields.io/badge/YouTube-Video-green)](https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn)

1. Why NLP?
2. One hot Encoding, Bag Of Words,
3. TFIDF
Expand All @@ -28,24 +31,25 @@
4. Optimizers

## 4. Advanced NLP Concepts (Day 6 - Last Video) [![YouTube](https://img.shields.io/badge/YouTube-Video-green)](https://www.youtube.com/watch?v=ZwYtqTaZ2io&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn&index=8)

1. RNN, LSTM RNN
2. GRU RNN
3. Bidirection LSTM RNN
4. Encoder Decoder, Attention is all you need ,Seq to Seq
4. Encoder Decoder, Attention is all you need ,Seq to Seq
5. Transformers

## 5. Starting the Journey Towards Generative AI (GPT4,Mistral 7B, LLAMA, Hugging Face Open Source LLM Models,Google Palm Model)

![image](https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024/assets/20041231/ebaa03ec-4370-4ea0-989d-5314370cd2da)

1. OpenAI [![YouTube](https://img.shields.io/badge/documentation-link-green)](https://platform.openai.com/docs/introduction) [![YouTube](https://img.shields.io/badge/YouTube-Video-red)](https://www.youtube.com/watch?v=CbpsDMwFG2g&list=PLZoTAELRMXVMTWGW9iS45ZTcMsntos6VO)

![image](https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024/assets/20041231/986bc005-e6c3-4f41-b678-82e0c0c2aa4a)


2. Langchain Tutorials With Projects [![YouTube](https://img.shields.io/badge/documentation-link-green)](https://python.langchain.com/docs/get_started/introduction) [![YouTube](https://img.shields.io/badge/YouTube-Video-red)](https://www.youtube.com/watch?v=4O1rs7mrNDo&list=PLZoTAELRMXVORE4VF7WQ_fAl0L1Gljtar)

3. Chainlit [![YouTube](https://img.shields.io/badge/documentation-link-green)](https://docs.chainlit.io/get-started/overview)
4. Google Gemini [![YouTube](https://img.shields.io/badge/documentation-link-green)](https://ai.google.dev/tutorials/python_quickstart?authuser=1 )
4. Google Gemini [![YouTube](https://img.shields.io/badge/documentation-link-green)](https://ai.google.dev/tutorials/python_quickstart?authuser=1)

## 5. Vector Databases And Vector Stores

Expand All @@ -56,18 +60,15 @@

## 6. Deployment Of LLM Projects

1. AWS
2. Azure
3. LangSmith
4. LangServe
5. HuggingFace Spaces

## iNeuron Free Community Generative Ai Series [![YouTube](https://img.shields.io/badge/freecourse-link-green)](https://ineuron.ai/course/generative-ai-community-edition-hinglish)
![image](https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024/assets/20041231/e96eddca-5e19-45b3-8beb-bf95a80cc4db)




Tools to help you deploy your LLM app to production:

1. [AWS](https://aws.amazon.com/)
2. [Azure](https://azure.microsoft.com/en-us/products/devops)
3. [phospho](https://phospho.ai/)
4. [LangSmith](https://www.langchain.com/langsmith)
5. [LangServe](https://python.langchain.com/v0.2/docs/langserve/)
6. [HuggingFace Spaces](https://huggingface.co/)

## iNeuron Free Community Generative Ai Series [![YouTube](https://img.shields.io/badge/freecourse-link-green)](https://ineuron.ai/course/generative-ai-community-edition-hinglish)

![image](https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024/assets/20041231/e96eddca-5e19-45b3-8beb-bf95a80cc4db)