Llama 3.1 — vs GPT-4o vs Claude Sonnet 3.5😲

🌈 Abstract

The article discusses the launch of Meta's new open-source language model, Llama 3.1, and the author's experience in testing and comparing it to other models like GPT-4o and Claude Sonnet 3.5. The article covers the author's attempts to use Llama 3.1 for tasks like creating a landing page and conducting research, as well as the limitations they encountered. The author also shares their excitement about the potential of Llama 3.1 when used with APIs and custom software, and mentions their previous experience in building a YouTube transcript generator using an earlier Llama model.

🙋 Q&A

[01] Llama 3.1 Model

1. What are the key features and capabilities of Llama 3.1 according to the article?

• Llama 3.1 405B is described as being in a class of its own, with unmatched flexibility, control, and state-of-the-art capabilities that rival the best closed-source models.
• It is said to enable the community to unlock new workflows, such as synthetic data generation and model distillation.

2. How did the author's experience with using Llama 3.1 compare to using other models like GPT-4o and Claude Sonnet 3.5?

• The author found that Llama 3.1 had limitations in terms of formatting and text length when used to create a simple landing page, which would not have been the case with GPT-4o or Claude Sonnet 3.5.
• The author also encountered issues with Llama 3.1's research capabilities, as the articles it found were outdated and had 404 errors.

3. What are the author's thoughts on the potential of Llama 3.1 when used with APIs and custom software?

• The author is excited to use Llama 3.1 in their custom AI software and projects, as they believe it will be a "game-changer" in this context.
• The author mentions their previous experience in building a YouTube transcript generator using an earlier Llama model, and plans to implement Llama 3.1 in their future projects.

[02] Llama 3.1 Usage and Comparison

1. What are the author's recommendations for using Llama 3.1 versus other commercial LLMs?

• The author suggests that for chat-based LLM usage, they will stick to ChatGPT and Anthropic for now, as they have better built-in functionality for web search, design, and consumer-friendly features.
• However, the author believes Llama 3.1 will be more useful when used with an API and in custom software development.

2. What are the author's thoughts on the installation and usage of Llama 3.1 locally versus on a cloud platform like Groq Cloud?

• The author found that installing Llama 3.1 locally is a "terrible idea" because it takes up a lot of space and is very slow.
• The author recommends using Groq Cloud for testing and using Llama 3.1, unless there is a specific use case that requires a locally installed LLM.

3. What other resources or services does the author mention for those interested in learning more about AI and growing their business?

• The author mentions a free 5-day email course to help grow and earn more money in the AI age.
• The author also mentions their newsletter, YouTube channel, and website (AI Growth Guys) as resources for using AI to earn more money.