Skip to content

WangWilly/patent_checker

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Patent infrigement detection

Run w/ docker-compose

# Build the frontend and backend
./scripts/build_frontend.sh
./scripts/build_backend.sh

cd deployments
docker compose up -d

exec

MVP

  • With the help of a GPT model, we will generate a list of keywords from the patent and the company's products
  • We will then compare the two lists and return a similarity score

GPT model

  • Gemini 1.5 Pro
    • (Free) 2 Requests per minute
    • (Free) 50 Requests per day
    • (Free) No context caching
    • (Free/paid) No fine-tuning
    • (Free) No grounding with Google Search
  • Groq

alt text

Papers

Can Large Language Models Generate High-quality Patent Claims?

Llama 3 can understand patents and product lists, especially when fine-tuned for such tasks. The Llama-3-FT model, a fine-tuned version of Llama 3, is specifically designed to handle patent descriptions and claims generation, demonstrating improved performance in these areas[1]. This suggests that with appropriate fine-tuning, Llama 3 can effectively process complex documents like patents and potentially understand product lists as well.

Sources

Milestones

# create/edit the models
alembic init migrations
alembic revision --autogenerate -m "create xxx table"
alembic upgrade head