lm-sys / lm-sys/FastChat

[Model Submission] Nexus-Pilot

Open
#3,727 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
39.5k
Forks
4.8k
PR merge metrics
No merged PRs in 30d

Description

Model Name

Nexus-Pilot


Model Overview

Nexus-Pilot is an experimental prompt-layered conversational agent designed to explore structured proposal generation and meta-evaluation using a proprietary large language model (100B+ scale). It does not rely on fine-tuning, and instead uses a multi-stage prompt chaining mechanism (Intent → Suggestion → Evaluation).

  • OpenAI Chat API-compatible
  • Single-turn and multi-turn capable
  • All outputs are generated through prompt logic, not architectural modifications

Model Type

Proprietary LLM (not fine-tuned, prompt-engineered only)


Training Data

Not disclosed. The underlying LLM is private and does not share architecture or data provenance. No public datasets are used directly in inference.


Intended Use

Evaluation of proposal-generation strategies in multi-turn conversational settings. Academic and commercial R&D contexts.


Limitations
  • The agent does not contain domain-specific optimization.
  • All behaviors are prompt-driven; factuality and consistency may vary depending on the prompt chain.

License

Apache 2.0 (for the prompt agent wrapper code)


Source Code

https://github.com/nexus-core-jp/nexus-pilot


Contact

@nexus-core-jp


Notes

This model does not reveal its backend structure intentionally. It is designed for interface-level evaluation, and the LLM provider is not disclosed.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue provides model metadata and a source repository but names no FastChat file, test, or entry point to update. First identify how FastChat records submitted models and where this model should be registered; done means the submission is represented according to that project’s existing model records and checks pass.

Written by the indexing model from the issue text.

Assessment

Domain
machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.