I built a GPT Investment Banker using this 312 PAGE document

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Hopefully you enjoyed this video.

Oh, and don't forget to connect with me!

Happy coding!
Nick

[vrtex-]

Could you please once do a tutorial where you're not using OpenAI's API key, but rather link it through your local LLM that runs on your machine (like LLaMA or vincuna)?
Also, something that is quite hard to find is how to fine-tune the weights of open-source models directly on your machines with a handcrafted custom dataset. After you could do like a test "before and after" to check if it really incorporated those new informations.

[justinnine]

Financial analysis is not document search. Try the following question: Read though all the pages and ignore management commentary, find out the real performance of the bank comparing to previous year. If your AI can give you a decent answer it passes as an financial analyst.

[mcdaddy]

I really appreciate your fast paced and concise tutorials with langchain more please

[Gos]

can you please create a video on a model that can replace openai? preferably cheap/free option?

[jwia]

❤ I want you to know that for someone who was really having a tough time getting it and feeling defeated. I really appreciate this video and your others. Langchain integration has stumped me for a while and now I have finally got it working!!! Big thanks 🎉🎉

[ibunker]

Short and sweet to inform and entertain. Nice work !.

[peralser]

Great Video as usual!! Amazing way to share your knowledge! Thanks Nicholas.

[luisxd]

Wow, this was an amazing tutorial, everything was well explained 312 pages is a lot, and the app works so fast
I would like to see another video without using OpenAI API key, for example, hugging face hosted models or other open-source models, please

As you explain so well, so I subscribed to your Machine Learning Course 😄

[stopfeelingbadforyourself]

Holy shit my man, this is incredible. Not sure if it’s worth it to you but would love to see a tutorial on getting chatgpt to pull actual from peer reviewed articles. Need to find claims for my company but the research for this is ENDLESS.

[shaplist]

Bless you my Goodman, i hope to see more series like these.

[reinerheiner]

I'd love to see content on using local llms with commercial license, like: how good do they work with tools? how much does their smaller context window hinder their performance compared to gpt4, all in the context of langchain, vertial dbs and tools. There are so many videos about those llm's but practially none on what I wrote as far as I know. are llms like wizard mega even viable to build apps around or are they just too bad compared with gpt4? Can they use tools? So many questions ;) Great content btw, you earned a sub!

[hofevki]

I'm giving up on running this, keep getting errors when trying to run based on the readme instructions

[jakekisiel]

Man, you are doing really good on making new videos, as they keep better all the time. And, this one was great. So, keep it up. I appreciate you. Thanks.

[micbab-vgmu]

Thank you for the great video. I will try to use it.

[adairjones]

Gosh, a youtuber that actually responds to his viewers...so awesome.
Your video came up on my Google discovery, so i watched. I've never seen your content before, but it does touch on the AI stuff i follow.
I don't have a clue what you showed here but i watched every second, and will binge your other stuff. You opened another dimension for me. I have some learning to do for sure.
Thank you and ditto on everyone who commented

[whatitdo]

I have been using GPT4 for trade analysis to include measuring profitability, order fill statistics and high level market data as it relates to my system and it gets it wrong quite often not to mention the analysis approach is different each time. I've used the Noteable plugin and it's ok but I'm looking to templatize an approach using a data feed from my EC2 machines for dashboarding purposes.

[kevinehsani]

You are one of few people I know that can do a great job of running a review and comparison on various vector DB such as pinecone and chroma db. Would you mind doing one please?

[Danielbg]

Your videos are amazing and really informative. I would love to know more about the tabular data agents Langchain has and their connections with other tools to make further operations with the retrieved data (calculations, charts, etc.). Keep it up!

[reidgajewski]

Help! When installing ChromaDB with pip install chromadb i keep getting this error

"clang: error: the clang compiler does not support '-march=native'
error: command '/usr/bin/clang' failed with exit code 1
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for hnswlib
Failed to build hnswlib
ERROR: Could not build wheels for hnswlib, which is required to install pyproject.toml-based projects"

I've been trouble shooting this all day and cannot get it resolved.

MacOS 13.4
Intel i7

[Mihaitafox]

Really like this new fast format. Can it learns to code based on specific documentation? Like interacting with certain blockchain RPCs.