LLMS

LLM Tips and Tutorials for Machine Learning Practitioners

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10 June 2024 4h37

If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.

Awesome LLM Apps with RAG GitHub Repository Showcase

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10 June 2024 4h28

Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support

Local ChatGPT Memory Application Demo Using Streamlit

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10 June 2024 4h28

Working Application demo using Streamlit

Paste the above code in vscode or pycharm and run the following command: 'streamlit run local_chatgpt_memory.py' pic.twitter.com/V8qsEyo3H1
— Shubham Saboo (@Saboo_Shubham_) 10 juin 2024

Working Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run local_chatgpt_memory.py'

Full Application Code for Local ChatGPT with Memory

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10 June 2024 4h28

Full Application code for Local ChatGPT with memory

Building Chat App with Llama-3 Model API Integration

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10 June 2024 4h27

7. Generate Response and Display • Generate response using the Llama-3 model with '
http://
client.chat.completions.create()'
• Add the assistant response to the chat history and display it in a chat message container

Deploy Llama-3 Locally with OpenAI Compatible API

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10 June 2024 4h27

3. Deploy Llama-3 locally and Create OpenAI like API

• Download & Install the @LMStudioAI desktop app
• Download llama-3 instruct model
• Expose the model as OpenAI API by simply starting the server.

Here's the video walkthrough: pic.twitter.com/iUiDeV7Z9z
— Shubham Saboo (@Saboo_Shubham_) 10 juin 2024

3. Deploy Llama-3 locally and Create OpenAI like API • Download & Install the @LMStudioAI desktop app
• Download llama-3 instruct model
• Expose the model as OpenAI API by simply starting the server. Here's the video walkthrough: