# Courses
- [LLama 2 prompts](https://learn.deeplearning.ai/courses/prompt-engineering-with-llama-2/lesson/1/introduction)
- [LangainJS](https://www.coursera.org/learn/build-ai-apps-with-langchain/ungradedWidget/oshzj/what-you-ll-learn-and-build)
- [LangChain Kumar](https://www.youtube.com/watch?v=lG7Uxts9SXs&ab_channel=freeCodeCamp.org)

# Tools
- [Perplexity Chatbot](https://labs.perplexity.ai/): llama/gemini etc 
- [google Gemini](https://console.cloud.google.com/vertex-ai/) vertex ai
     * [use own folder](https://www.youtube.com/watch?v=B-lIqtgAUK0&list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw&index=128&ab_channel=PromptEngineering)
- AWS CodeWhisperer
- AWS Saghemaker to deploy Lama

# LOCALLY
- [OLLAMA](https://ollama.com/) Download available LLM

## DEPLOY Lama
- cost ***$$1.5K** AWS https://llama-2.ai/llama-2-aws-environment-cost/
- https://www.philschmid.de/sagemaker-llama-llm

# CODE GPT

- [dodgy prompt course](https://learning.oreilly.com/videos/chatgpt-and-prompt/9781835081181/9781835081181-video5_1)


# LangChain:
> connect LLM with your data (vector databases)

# FIN GPT
- [dodgy finbot] https://learning.oreilly.com/videos/financial-analysis/9781805123262/9781805123262-video3_1/

# BOOKS
- [Apps with GPT](https://www.amazon.co.uk/Developing-Apps-GPT-4-ChatGPT-Intelligent/dp/1098152484)

HOST:
https://www.runpod.io/console/gpu-cloud