louisbrulenaudet

[louisbrulenaudet]

Instruction fine-tuning Large Language Models for tax practice using quantization and LoRA: a boilerplate

You can now check out my project entitled "Instruction fine-tuning Large Language Models for tax practice using quantization and LoRA: a boilerplate", on GitHub 🖥️

It highlights a methodology aimed at addressing one of the major challenges in the field of NLP for tax practice: the ability of LLMs to efficiently adapt to business problems for the production of high-quality results and the reduction of syntactic ambiguity.

Based on the notion of transformers and the work of Hugging Face and AI at Meta, this project is still at the proof-of-concept stage and requires further development before potential production. However, it does offer some keys to understanding for professionals concerned about the use of generative ai in the practice of the fiscal profession.

[louisbrulenaudet]

In an era where the exchange of data across the web has become ubiquitous, safeguarding the integrity and security of web applications is paramount. Among the array of vulnerabilities that can threaten the trustworthiness of these applications, Cross-Site Request Forgery (CSRF) stands as a particularly insidious adversary. By the end of this comprehensive guid, you will possess the knowledge and tools to fortify your web applications against CSRF threats effectively.

[louisbrulenaudet]

Totpsaurus, unleash the Time-Traveling OTPs ⏱️

I wrote an ultralight, non-dependent and minimalist open-source package for generating Time-based One-Time Passwords (TOTPs), creating OTP URLs, and generating secure backup codes for account recovery.

The code is written in JavaScript, my goal was to create a lightweight, dependency-free package, to later make changes to it as needed.

This is a Node.js module available through the npm & yarn registries.

Before installing, download and install Node.js. Node.js 0.10 or higher is required.