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Mayo Oshin Profile picture
@mayowaoshin
Mar 27, 2023 • 4 tweets • 2 min read • Read on X
I built a GPT-4 'Warren Buffett' financial analyst to 'chat' with and analyze multiple PDF files (~1000 pages) across @elonmusk's Tesla 10-k annual reports (2020-2022)

#gpt4 #openai #investing #stocks #finance
FYI this was powered by @LangChainAI , @pinecone and @OpenAI
Tutorial Youtube Video:

Github repo (please note this the original template used for the demo adapted for this usecase):

My visual diagram of the pdf chatbot architecture below...
github.com/mayooear/gpt4-…
Image
For a more comprehensive step-by-step beginner's
guide on how to build a chatbot like this for your data, you can join the waitlist for the upcoming program here:

tinyurl.com/4jkpsu3j

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More from @mayowaoshin

Mayo Oshin Profile picture
Jun 6, 2023
One major drawback of semantic search is the inability to perform structured queries i.e. "What is the average dollar spend of our customers?"

One way to overcome this limitation is to combine AI's text-to-SQL for structured data with semantic search for unstructured data. Image
For example, let's say you want to analyse cover letters of job applicants.

You've stored the full names and work experience (years) of each candidate in an SQL db and embedded the cover letters (alongside metadata containing full name of each candidate) in a vector db.
Then you ask the model:

"What are the key personality attributes and skillsets of the candidate with the most work experience?"

Under the hood here's what AI could do:
Read 6 tweets
Mayo Oshin Profile picture
Mar 16, 2023
I used the new GPT-4 api to 'chat' with a 56-page legal PDF document about the famous supreme court case: Morse v. Frederick

Powered by @LangChainAI and @pinecone

#openai #chatgpt #gpt4 #legal #lawyers #law
Original PDF of legal case: tile.loc.gov/storage-servic…
Tutorial Youtube Video:

Github repo(code): github.com/mayooear/gpt4-…

My visual diagram of the pdf chatbot architecture below...
Read 4 tweets

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