Why Llama 3.1 405B Is So Much Better Than GPT-4o And Claude 3.5 Sonnet— Here The Result

🌈 Abstract

The article discusses the latest developments in the world of AI, focusing on the release of Llama 3.1 405B, a large open-source AI model from Meta that has surpassed leading proprietary models like GPT-4o and Claude 3.5 Sonnet in various benchmark tests.

🙋 Q&A

[01] Llama 3.1 405B

1. What are the key features and capabilities of Llama 3.1 405B?

• Llama 3.1 405B is the largest open-source AI model to date, with 405 billion parameters
• It performs on par with leading proprietary AI models in general knowledge, steerability, math, tool use, and multilingual translation
• It has improved reasoning and coding capabilities, with a 128K context length
• It supports zero-shot tool use and agentic behaviors with RAG
• It has strong multilingual processing capabilities, with about 50% of the pre-training data being multilingual
• It has powerful programming and logical reasoning capabilities, able to generate high-quality code and solve complex problems

2. How does Llama 3.1 405B compare to GPT-4o and Claude 3.5 Sonnet?

• Llama 3.1 405B outperforms GPT-4o and Claude 3.5 Sonnet on various benchmark tests, including mathematical reasoning, complex reasoning, and multilingual support
• It has excellent long text processing ability, scoring 95.2 points in zero-shot quality
• It falls slightly short compared to Claude 3.5 Sonnet in tool utilization ability (BFCL, Nexus)
• Its performance on multi-task language understanding, human evaluation, and MATH is slightly inferior to the closed-source models, but the score difference is not large
• Manual evaluation results show that the output performance of Llama 3.1 405B is comparable to GPT-4 and Claude 3.5 Sonnet, and slightly inferior to GPT-4o

[02] Using Llama 3.1 Models

1. How can you use Llama 3.1 models locally?

• The author recommends trying the Llama 3.1 8B model, which is impressive for its size and will perform well on most hardware
• You can use the ollama run llama3.1-8b command to get up and running with local language models

2. Where can you access the Llama 3.1 models online?

• Groq is now hosting the Llama 3.1 models, including the 70B and 8B models
• The largest 405B model was temporarily removed due to high traffic and server issues, but the 70B and 8B models are still available and can generate responses at an impressive speed of 250 tokens per second

[03] Comparing Coding Capabilities

1. How did Llama 3.1 405B, GPT-4o, and Claude 3.5 Sonnet perform on a coding task?

• The author tested the models on a medium-level LeetCode problem related to sorting algorithms, specifically the "Top K Frequent Elements" problem
• Llama 3.1 405B provided a concise and efficient solution using the heapq.nlargest function, which was more straightforward than the solutions provided by GPT-4o and Claude 3.5 Sonnet
• The author noted that Llama 3.1 405B's solution might be slightly more efficient and straightforward due to its direct use of Python's heap functions

2. How did the models perform on a probability problem?

• The author asked the models to solve a classic probability problem: "Alice has 2 kids and one of them is a girl. What is the probability that the other child is also a girl?"
• All three models correctly identified the probability as 1/3 or approximately 33.33%
• Llama 3.1 405B provided the most detailed and thorough explanation, while GPT-4o and Claude 3.5 Sonnet offered clear and easy-to-understand explanations

[04] Conclusion

1. What is the significance of the release of Llama 3.1?

• The release of Llama 3.1, especially the strong performance of the 405B parameter model, has greatly improved the capabilities of open-source language models
• For the first time in recent years, the performance of open-source language models is very close to that of closed-source business models
• This suggests that Meta's Llama series models will likely remain the top choice for developing open-source language models in the future