I Analyzed My Finance With Local LLMs

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Published 2024-01-31
Get $200 off CourseraPlus πŸ‘‰ imp.i384100.net/nLvdN9
GitHub repo πŸ‘‰ github.com/thu-vu92/local-llms-analyse-finance

πŸ”‘ TIMESTAMPS
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0:00 - Project intro
1:35 - Sponsor (Coursera)
2:04 - Why using local LLMs?
3:34 - Install Ollama
4:14 - Run local Mistral model
6:17 - Run local Llama2 model
7:27 - Customize LLMs with Ollama
9:53 - Access Llama2 with Langchain (Python)
10:45 - Categorise bank transactions
14:46 - Create personal finance dashboard
17:24 - Conclusions


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All Comments (21)
  • @maplerlol
    Update: Ollama now works on Windows normally
  • This is great. We're in the process of integrating LLMs into our "what if" scenario modelling platform and this gave me a few ideas on next steps. Sharing this video with my dev team!
  • @Codad
    This is such a great video. Thank you for making it. I had no idea this sort of thing was possible and I'm finding all sorts of ways to take advantage of it now.
  • @noahchristie5267
    Incredible intro video for the semi technical about how chat gpt and similar models will be used in daily life to improve the mundane tasks, with a side of cautions about incorrect answers and computational limitations! Great balance, I’m already sharing it around our team 😊
  • Hi Thu! Last year I had referenced your panel dashboard video to build my personal finance dashboard. I like seeing how you built yours. Your content is very useful. Thank you!
  • What an amazing video! This is definitely a personal project that I've wanted to tackle and while I'm familiar with other languages, I'll definitely use your video as a guideline.
  • @PauloLeiteBR
    Excellent video, I used the concepts to enhance a project that I had already started in R and it worked fine, but so slow in my computer (like 5 min to analyse 10 registers). Now I know the concepts and I`ll keep experimenting with other LLM models. Thank you!
  • @bereniceflores81
    Always good to see more people bringing data skills to understand personal finance.
  • @SebastianSastre
    Thank you for sharing this dear! You covered the basics and shown the path to a great first goal with your own custom on premise and well licensed LLM. Huge!
  • @hrgagan9192
    Wow absolutely wow, thank you for such a great project, so many ideas ringing in my head. Cheers
  • @borismeinardus
    Love the video! The beginning sets up the project perjectly and the tutorial is very easy to follow!
  • @murali-alive
    wow, so concise, to the point, no nonsense, clean, information packed presentation, thank you.
  • @_stition9777
    Thank you so much for making this video. Subscribed, this is exactly the content I look for
  • J'ai adorΓ©, vidΓ©o super clair allant droit au but et qui nous la joie d'aller dΓ©couvrir le code
  • @TheBenJiles
    Thanks so much! It giving me inspiration for using this in a security analysis context.
  • @vadud3
    Really awesome explanation! I am going to use this. Thank you Thu!!
  • @jteichma
    Thanks for the great overview of using aa local LLM Thuy! Very useful and informative.