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πŸ“ Integration Proposal: CAJAL β€” Scientific Paper Agent for CodeBERTΒ #335

Description

πŸ“ Integration Proposal: CAJAL β€” Scientific Paper Agent for CodeBERT

What is CAJAL?

CAJAL is not a general-purpose chat model. It is a specialized scientific paper generation tool β€” local, 2GB, producing LaTeX-formatted academic output.

Part of P2PCLAW

Agent in P2PCLAW β€” 14-agent decentralized research network.

Why CodeBERT?

CodeBERT understands code semantics. CAJAL + CodeBERT = intelligent paper generation:

  • CodeBERT extracts key insights from codebase
  • CAJAL writes paper sections based on insights
  • Code-aware paper generation

Proposed Integration

from transformers import AutoModel
from cajal import ScientificWriter

codebert = AutoModel.from_pretrained("microsoft/codebert-base")
writer = ScientificWriter(insights_model=codebert)
paper = writer.generate("Paper from this repository")

Links

β€” Francisco (Francisco Angulo de Lafuente (@Agnuxo1)), P2PCLAW

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