How I Automate Grading With LangChain And GPT-4

Abstraction: LangChain GPT-4 pipeline automating bootcamp homework grading

Key points:

• System uses a 3-chain LangChain pipeline: (1) question-level assessment, (2) overall code quality, (3) final grade synthesis
• Django REST API on AWS Elastic Beanstalk with Celery/RabbitMQ for async task queuing (grading takes 1-5 mins per submission)
• GPT-4 chosen for 128K context window to process entire student solutions; author notes Claude Haiku (200K context, cheaper) as preferred future switch
• LangChain's batched interface used to parallelize multi-question assessments and minimize latency
• Results (grade, feedback, explanation) stored in PostgreSQL on AWS RDS; courses hosted on Teachable with custom HTML API calls
• Design philosophy: decompose complex tasks into very simple, precise LLM sub-tasks per chain for best results

Connections: Langchain · GPT-4 · Large Language Models · AI Agents · Prompt Engineering

Source: https://newsletter.theaiedge.io/p/how-i-automate-grading-with-langchain