LLAMA 3.1 405b VS GROK-2 (Coding, Logic & Reasoning, Math) #llama3 #grok2 #local #opensource #grok-2

Summary

In this exciting showdown, Grok 2 and Llama 3.1, two powerful language models, compete in coding, logic, reasoning, and math challenges. Grok 2, with an estimated 400-500 billion parameters, outperforms Llama 3.1, which has 405 billion, in several tasks. The models tackle challenges like Python coding, puzzle-solving, and simple math calculations. Grok 2 clinches victory in coding and reasoning, while both models excel in math, earning perfect scores. The final tally: Grok 2 scores 15/15, while Llama 3.1 finishes with 12/15. A close and thrilling battle, showcasing the impressive capabilities of both models.

Takeaways

• 😀 Grok2 and Llama 3.1 are advanced language models with different parameter counts, Grok2 likely having 400 to 500 billion parameters.
• 😀 The models were tested in coding, logic, reasoning, and math tasks to determine which performed better overall.
• 😀 In coding challenges, Grok2 outperformed Llama 3.1, scoring 5 out of 5 while Llama 3.1 scored 3 out of 5.
• 😀 Grok2 showed superior performance in solving complex logic and reasoning puzzles, scoring 5 out of 5 compared to Llama 3.1's 4 out of 5.
• 😀 Both models scored perfect 5s in math questions, demonstrating their competency in basic calculations and problem-solving.
• 😀 One of the coding challenges included creating a Python GUI for converting WAV files to MP3, which Grok2 handled better.
• 😀 Grok2 had an edge in implementing a calculator with buttons for numbers and signs, which Llama 3.1 struggled with.
• 😀 The models were asked to solve logical problems like identifying the heavier ball using a balance scale and measuring exact quantities with jugs.
• 😀 A key logic riddle involved predicting where a ball was placed by two people, a task both models completed successfully, but Grok2 performed more accurately.
• 😀 Grok2 dominated the final score tally with a perfect score of 15 out of 15, while Llama 3.1 scored 12 out of 15.
• 😀 The overall showdown between Grok2 and Llama 3.1 showcased the growing capabilities of large language models in diverse domains.

Q & A

What is the main focus of the video?

The video compares two large language models, Grok2 and Llama 3.1, by testing their abilities in coding, logic, reasoning, and math.

What is known about the number of parameters in Grok2?

The exact number of parameters in Grok2 hasn't been revealed, but it is believed to be around 400 to 500 billion, based on the fact that Grok1 had 314 billion parameters.

What was the first coding challenge given to the models?

The first coding challenge asked the models to write a Python code with a GUI that allows users to upload a WAV file and convert it to MP3.

How were the models tested in terms of logic and reasoning?

The models were asked various logic and reasoning questions, such as identifying the heavier ball among eight identical ones, measuring exactly 4 liters of water, and solving riddles like 'Where do John and Mark think the ball is?'

What was the outcome of the coding challenge between Grok2 and Llama 3.1?

In the coding challenge, Grok2 outperformed Llama 3.1, with Grok2 scoring 5 and Llama 3.1 scoring 3.

What type of math questions were posed to the models?

The math questions included simple calculations, a store offer problem, a cost calculation for a hotel stay, ranking students in a class, and calculating the perimeter of a rectangle.

How did Grok2 and Llama 3.1 perform in logic and reasoning?

Grok2 won the logic and reasoning segment with a score of 5, while Llama 3.1 scored 4.

Which model was better at math, Grok2 or Llama 3.1?

Both models performed equally well in the math segment, each scoring a perfect 5.

What was the total score for Grok2 and Llama 3.1?

Grok2 secured a perfect score of 15 out of 15, while Llama 3.1 finished with 12 out of 15.

What is the significance of this comparison between Grok2 and Llama 3.1?

The comparison highlights the strengths and weaknesses of both models, showing that while Grok2 excelled in coding and reasoning, Llama 3.1 was a strong contender, particularly in math.