Small but powerful! Llama 3.1 8B overtook its giant rival!

We encounter new surprises every day in the world of artificial intelligence, but this time we have a truly surprising success. With only 8 billion parameters, Llama 3.1 8B almost matched the performance of its giant rival, GPT-4o, and even surpassed it in some areas. So, can a small artificial intelligence model compete with giants when optimized with the right techniques? Details are in our news…

Llama 3.1 8B surpasses AI giant GPT-4o

Researchers conducted an interesting experiment using the Llama 3.1 8B model. In this experiment, the model was asked to perform the same Python code generation task 100 times in a row. The results are quite impressive. This small language model matched the performance of GPT-4o with a simple strategy. And not only did it catch up, it managed to surpass GPT-4o when further searches were made.

Llama 3.1 8B achieved a 90.5% success rate in 100 searches. This is nearly identical to GPT-4o’s rate of 90.2%. However, when the researchers took the experiment further and increased the number of searches to 1,000, Llama’s success rate increased to 95.1%. So, a small model can outperform large models when optimized correctly.

This success raises many questions in the world of artificial intelligence. How can a small model surpass a rival with huge parameters? In fact, the answer is simple: Search method and correct optimization techniques.

The search method performed with Llama 3.1 8B forces the model to perform the same task more than once, allowing it to produce more accurate results. This technique is especially effective in certain fields such as mathematics and programming. Because in such tasks, making more than one attempt to find the correct answer can significantly increase the success rate.

This success of Llama is admirable. However, this method may not have the same effect in all areas. For example, this strategy may not be effective for more open-ended tasks such as free text writing. So, what do you think? You can share your opinions in the comments section below.