How to Pick the Best LLM for Your AI Project
<p>Feeling overwhelmed by the multitude of LLMs out there? Trust me, you’re not alone. Faced with choices from giants like OpenAI, Google, and Anthropic, plus a heap of open-source options, you don’t really know where to start. Worse still you’re concerned about the restrictions that legal and your data security teams will put on your decision.</p>
<p>Fortunately, there is an easy way to make this decision, and I address it in Episode 7 of our AI Strategy series, <a href="https://youtu.be/VTWn-2SVWo8" rel="noopener ugc nofollow" target="_blank">How to Pick the Best LLM for Your AI Project</a>.</p>
<p>You need to consider three critical constraints when making your choice: intelligence, speed, and context window size.</p>
<blockquote>
<p>For the overwhelming majority of projects, the answer is simple — prioritize intelligence. <strong>Start the most intelligent model available, and for most projects that is the GPT-4 model from OpenAI</strong>. Why intelligence? Because it lets you build more reliable and cost-efficient solutions, quickly.</p>
</blockquote>
<p>By the time you get a real solution working — which is going to take longer and be harder than you expect — smarter and faster models will be available. GPT-4 may even be obsolete.</p>
<p>By starting with the best, you’re future-proofing your projects and focusing on challenges that really matter — like team skills, evaluation frameworks, development environments, and company education.</p>
<p><a href="https://medium.com/the-business-of-ai/how-to-pick-the-best-llm-for-your-ai-project-3a9db7b3ba2c">Website</a></p>