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A beginners guide to fine tuning LLM using LoRA - Vimarsana News

A beginners guide to fine tuning LLM using LoRA

Discover how to create a synthetic dataset, select the right metrics for evaluation, and fine-tune your model using LoRA for a narrow scenario. Plus, learn how to serve your model efficiently using LLaMa.cpp on Mac/Linux.

Source: zohaib.me
How to make a Forex trading bot in Python [month, year] - Vimarsana News

How to make a Forex trading bot in Python [month, year]

Creating a profitable Bot with Python. By using Python, you can automate your forex trading strategies and trade many currency pairs at once.

Optimizing Financial Predictions with Linear Regression: A Python Tutorial - Vimarsana News

Optimizing Financial Predictions with Linear Regression: A Python Tutorial

In this section, necessary libraries are imported. is used for data manipulation, while scikit-learn ( ) provides tools for machine learning, including data…

Source: biztoc.com
ChatGPT: opportunity and risk for the profession - Vimarsana News

ChatGPT: opportunity and risk for the profession

OpenAI’s ChatGPT can answer questions to an impressive level of detail, but it needs work to address some significant issues before it could prove useful in audit and accountancy.

Source: icaew.com
Time series forecasting with ARMA and InfluxDB - Vimarsana News

Time series forecasting with ARMA and InfluxDB

Autoregressive moving average models have a number of advantages including simplicity. Here’s how to use an ARMA model with InfluxDB.

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