# Change Log All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/) and this project adheres to [Semantic Versioning](http://semver.org/). *** ## 1.2.0 - 2023-07-27 **Added:** * Chapter 6 - This chapter will include breakdowns of research papers covering the latest advancements in artificial intelligence. This chapter will prioritize research being done at the intersection of AI and law. However, absent of extensive research in this niche area, we'll be covering more technical research papers, in which we'll include a legal spin on our writings with plenty of real-world examples. * Section 6.1 - Can current LLMs like ChatGPT outperform senior tax attorneys?! That is the question Stanford researcher John J. Nay and team set out to answer. Tl;DR - AI models can currently perform at a level comparable to a junior tax associate. However, each subsequent version of advanced LLMs perform incrementally better. The jobs of tax attorneys are safe, for now 😜. * Section 6.2 - The authors' main focus is to use LPE with LLMs on lengthy legal documents for Legal Judgement Prediction (LJP). An interesting approach the researchers took was to use general LLMs with **NO** prompt engineering. Hence, they wanted to figure out whether the general knowledge of LLMs would be applicable to the specialized subject of law. ## 1.1.0 - 2023-07-20 **Added:** * [Section 4.3](/4.-ethical-guardrails-and-professional-responsibility/4.3.-chatgpt-plugins.md) - We cover ChatGPT plugins in detail starting with examples that detail how you can ChatGPT generate responses from data included in PDF documents you upload, and how you can use Plugins to connect to external data sources like the internet. Make sure to interact with our interactive demos to easy learn step-by-step. * [Section 4.4](/4.-ethical-guardrails-and-professional-responsibility/4.4.-chatgpt-code-interpreter.md) - Code Interpreter is an exciting addition to ChatGPT that lets you accomplish more complex tasks like generating PDFs, solving complex maths, data analysis, and more. * [Pro Tips!](/appendix/pro-tips.md) - We are going to start sharing some nifty hacks, tricks, and free tools we use to be more effective when using ChatGPT. Caring is sharing :innocent:. * [Change Log](/appendix/change-log.md) ## 1.0.0 - 2023-07-15 #### :confetti\_ball: **Initial release of LegalPromptGuide.com** :confetti\_ball: **Added:** * Chapters [1](/1.-introduction-the-power-of-precision-in-prompting.md), [2](/2.-fundamentals-of-legal-prompt-engineering.md), [*4*](/4.-ethical-guardrails-and-professional-responsibility.md), [5](/6.-resources-and-tools.md) * [Section 4.2](/4.-ethical-guardrails-and-professional-responsibility/4.2.-output-parsers.md) * [References](/appendix/references.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://www.legalpromptguide.com/appendix/change-log.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.