Editorial Assistant

更新日志

Upgradelog

Version 1.1.4

New: Implemented Contribution Analysis functionality
New: Added support for simultaneous fine-tuning of multiple models and result comparison
New: Introduced Majority Rule algorithm for consensus-based decision making across multiple LLMs
Upgrade: Integrated real-time network connectivity algorithm into Editorial GPT with direct access to Google Scholar database
Upgrade: Llama 3.1 base model
Fixes: Optimized submission length for conversation articles

October 8, 2024

Version 1.1.3

New: Fine-tuned Editorial GPT with financial domain knowledge from Financial Times journal
New: Implemented Citation Analysis functionality
Add: Segmented and indexed past Financial Times journals into Pinecone vector database for successful integration
Add:Connected model to a recursive citation search algorithm
Fixes: Resolved system hang issues caused by excessive recursion depth in citation search algorithm by implementing depth limits

August 28, 2024

Overview

This is an AI tool specifically designed for journal editors to review finance papers.
The system should filter initial submissions, provide concise feedback, and offer constructive
suggestions.

Key Features

Paper Screening: Filter and select papers for further review.
Strength and Weakness Identification: Highlight the key strengths and weaknesses of the
papers.
Summarization: Generate concise summaries of the papers.
Improvement Suggestions: Offer actionable suggestions for enhancing the papers.

Hi, I’m editorial assistant, and I’m looking forward to reviewing your submission!

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