Skip to content

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

@Agnuxo1

Description

@Agnuxo1

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 (@Agnuxo1), P2PCLAW

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type
    No fields configured for issues without a type.

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions