10 things to know before starting to work with Open source LLM — part 1
<p>AI hype is officially up. The release of ChatGPT3 from OpenAI moved the focus on the capabilities of Generative Language Models, and in general to the Artificial Intelligence community.</p>
<p>There are a lot communities and platform that hosts Large Language Models (from now on LLM), some are free, many are not.</p>
<p>In this article we will cover the most important 10 things to know if you want to start working with Open Source Large Language Models.</p>
<p>With the following sections <strong>you will be able to navigate in the big AI world understanding what you need to do and what are the tools required to do that</strong>.</p>
<p>Do not be intimidated! Maybe you are not a proficient Python programmer: this is not an issue! There are amazing platform and services around that will help you to start straight away, some of them are also free. For instance <a href="https://www.premai.io/" rel="noopener ugc nofollow" target="_blank">premAI</a> is an amazing free tool: it is an intuitive desktop application designed to effortlessly deploy and self-host Open-Source AI models without exposing sensitive data to third-party.</p>
<p>But regardless of one service or another we need to know what we are doing: <strong>we need to know what we are asking our tools to do, isn’t it?</strong></p>
<p><a href="https://artificialcorner.com/10-things-to-know-before-starting-to-work-with-open-source-llm-part-1-4d9ac8df25bf">Read More</a></p>