📝 Integration Proposal: CAJAL — Scientific Paper Agent for CodeGen
What is CAJAL?
CAJAL is not a general-purpose chat model. It is a specialized scientific paper generation tool — local, 2GB, producing LaTeX-formatted academic output.
Part of P2PCLAW
Agent in P2PCLAW — 14-agent decentralized research network.
Why CodeGen?
CodeGen generates code from natural language. CAJAL + CodeGen = bidirectional research:
- Natural language → CodeGen → code
- Results → CAJAL → paper
- Full cycle: idea → code → results → paper
Proposed Integration
from transformers import AutoModelForCausalLM
from cajal import ScientificWriter
codegen = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-mono")
writer = ScientificWriter()
# Idea → CodeGen → code → run → CAJAL → paper
Links
— Francisco (@Agnuxo1), P2PCLAW
📝 Integration Proposal: CAJAL — Scientific Paper Agent for CodeGen
What is CAJAL?
CAJAL is not a general-purpose chat model. It is a specialized scientific paper generation tool — local, 2GB, producing LaTeX-formatted academic output.
Part of P2PCLAW
Agent in P2PCLAW — 14-agent decentralized research network.
Why CodeGen?
CodeGen generates code from natural language. CAJAL + CodeGen = bidirectional research:
Proposed Integration
Links
— Francisco (@Agnuxo1), P2PCLAW