Testing Llama 3: Did it Pass the Coding and Reasoning Test?

Mervin Praison
18 Apr 202406:00

TLDRIn this video, the presenter tests Llama 3, a large language model by Meta, through a series of coding, logical, and reasoning challenges. The model successfully passes easy, medium, and hard tasks, including creating functions for summing numbers, finding discounts, converting digital to audio, and generating an identity matrix. However, it fails the expert-level challenge of generating an ECG sequence but corrects the error upon request. The model also performs well in logical and reasoning tests, except when asked to solve two problems simultaneously. The video concludes with a demonstration of the model's ability to generate a Python snake game, which runs successfully with basic functionality. The presenter is impressed with Llama 3's capabilities and anticipates its impact on the open-source large language model landscape.

Takeaways

  • 🧠 LLaMA 3, a large language model developed by Meta, was tested for its coding, reasoning, and game creation capabilities.
  • 🎥 The video features live demonstrations of LLaMA 3 completing various coding challenges, including functions for simple arithmetic, discount calculation, and more complex tasks like generating an ECG sequence.
  • 🐍 The model succeeded in tasks up to a 'very hard' level but struggled with an 'expert level' challenge, illustrating its strengths and limitations.
  • 💡 The coding test included real-time generation of Python code for different challenges, which was immediately tested and verified.
  • 🎲 LLaMA 3 was also tested for logical and reasoning capabilities, handling straightforward math problems efficiently both individually and in combination.
  • 👾 A demonstration of creating a Python-based snake game showed LLaMA 3's ability to handle game development tasks, including using libraries like Pygame.
  • 📊 Errors in LLaMA 3's responses highlight the importance of iterative testing and adjustment in AI model development.
  • 🔍 The model could handle multiple logical reasoning questions in a single query, though it showed mixed results when questions were combined.
  • 🏗️ The video serves an educational purpose, showcasing the potential and current abilities of state-of-the-art AI models to a general audience.
  • 📢 The content creator encourages viewers to engage with their channel for more AI-related content, indicating ongoing exploration and tutorials in AI advancements.

Q & A

  • What is the main subject of the video?

    -The main subject of the video is testing Llama 3, a large language model released by Meta, across various challenges including coding, logical reasoning, and game creation.

  • What is the first coding test performed in the video?

    -The first coding test involves creating a function to return the sum of two numbers using Python.

  • What was the outcome of the 'Easy Challenge' in the coding test?

    -The 'Easy Challenge' involved creating a function to find the discount, which the Llama 3 model successfully completed.

  • What was the result of the 'Expert Level Challenge'?

    -The 'Expert Level Challenge' involved creating a function to generate an ECG sequence. The Llama 3 model initially failed but after being asked to fix the error, it still failed on the final attempt.

  • How did the Llama 3 model perform in the logical and reasoning test?

    -The Llama 3 model correctly answered individual logical and reasoning questions but struggled when asked to process two questions together in the same request.

  • What was the outcome of the final challenge, which was to create a snake game in Python?

    -The final challenge was successful. The Llama 3 model generated the code for a snake game, which was executed and played during the video, demonstrating the model's capability to create a functional game.

  • What is the significance of testing Llama 3 across different challenges?

    -Testing Llama 3 across different challenges helps to evaluate its versatility, problem-solving abilities, and overall performance in various tasks, such as coding, logical reasoning, and creative tasks like game creation.

  • How does the Llama 3 model compare to other open-source models?

    -The Llama 3 model outperforms most open-source models, as it was able to pass up until the 'Very Hard Challenge' and only failed at the 'Expert Level Challenge'.

  • What is the purpose of using Hugging Face Chat for the tests?

    -Hugging Face Chat is used because it contains the Llama 3 70 billion instruct parameter model, which allows for interactive testing of the model's capabilities.

  • What is the role of the viewer in the video?

    -The viewer is engaged by being shown the process of testing Llama 3, learning about its capabilities, and being encouraged to subscribe for more content related to Artificial Intelligence.

  • What is the potential impact of the Llama 3 model on the open-source large language model world?

    -The Llama 3 model has the potential to be a game changer in the open-source large language model world due to its high performance in various challenges and its ability to generate functional code for tasks like game creation.

Outlines

00:00

🤖 Testing Llama 3: A Large Language Model

The video script introduces Llama 3, a large language model released by Meta, and outlines a series of tests to evaluate its capabilities. The tests include coding challenges of varying difficulties, logical and reasoning questions, and a game creation task. The presenter uses the Hugging Face chat with the Llama 3 70 billion parameter model to conduct the tests. The coding tests involve creating functions for basic arithmetic, finding discounts, converting digital to audio, identifying domain names from DNS pointers, generating identity matrices, and generating ECG sequences. The logical and reasoning tests include questions about sales and earnings calculations. The final challenge is creating a snake game in Python, which the model accomplishes successfully, showcasing its impressive performance in coding and logical reasoning, with the exception of the expert level ECG sequence challenge.

05:00

🐍 Creating a Snake Game with Llama 3

The video script concludes with a demonstration of creating a snake game in Python using the Llama 3 language model. The model automatically generates the code for the game, which the presenter then installs and runs using the 'pame' package. The game runs successfully, showing the snake moving across the board with the ability to reset after hitting a wall. The presenter also notes the score displayed in the top corner. The video ends with the presenter expressing excitement about the potential of open-source large language models and the intention to create more videos on this topic, including fine-tuning the Llama 3 model.

Mindmap

Keywords

💡Llama 3

Llama 3 is a large language model developed by Meta. It is the central subject of the video, as the host tests its capabilities in various challenges. The model is used to demonstrate its proficiency in coding, logical reasoning, and game creation. In the script, Llama 3 is shown to successfully complete tasks ranging from simple coding problems to complex challenges, showcasing its advanced capabilities.

💡Coding Test

A coding test is a method of evaluating an individual's or an AI's ability to write and understand code. In the video, Llama 3 undergoes a series of coding tests that include creating functions for basic arithmetic, finding discounts, converting digital to audio signals, and generating an identity matrix. These tests are designed to gauge the model's programming skills and logical problem-solving abilities.

💡Logical and Reasoning Test

This type of test assesses an individual's ability to think logically and to reason through problems. In the context of the video, the host presents Llama 3 with scenarios that require logical analysis and quantitative reasoning, such as calculating the total number of clips sold or determining earnings based on hourly rates. The model's performance on these tests provides insight into its capacity for logical thinking and numerical problem-solving.

💡Game Creation

Game creation involves designing and developing a game, which can include writing code, creating game mechanics, and designing user interfaces. In the video, Llama 3 is tasked with generating the code for a simple snake game in Python. The successful creation and execution of the game demonstrate the model's ability to understand and apply complex instructions, as well as its potential for creative problem-solving.

💡Hugging Face

Hugging Face is a company that provides tools and libraries for natural language processing (NLP). In the video, the host mentions using Hugging Face's chat interface, which includes the Llama 3 model. This indicates that Hugging Face serves as a platform for interacting with and testing the capabilities of advanced language models like Llama 3.

💡Instruct Parameter Model

An instruct parameter model refers to a type of AI model that can be guided by instructions provided to it. Llama 3, with its 70 billion parameters, is an example of such a model. The video showcases how the model can be directed to perform specific tasks, like coding or logical reasoning, based on the instructions given to it.

💡ECG Sequence

An ECG (Electrocardiogram) sequence represents the electrical activity of the heart, which can be analyzed for medical purposes. In the video, Llama 3 is challenged to generate an ECG sequence function, which is a complex task requiring a deep understanding of medical data representation. The model's attempt at this task demonstrates its ability to handle specialized and technical subject matter.

💡DNS Pointer

A DNS (Domain Name System) pointer is a type of DNS record that points a domain name to an IP address. In the video, Llama 3 is asked to find the domain name from a given DNS pointer, which tests its ability to understand and manipulate domain name and IP address relationships within the context of network infrastructure.

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💡Python

Python is a widely-used high-level programming language known for its readability and versatility. Throughout the video, Python is the programming language of choice for testing Llama 3's coding abilities. The model's proficiency in Python is demonstrated through its successful completion of various coding challenges, highlighting its adaptability to different programming tasks.

💡Open Source

Open source refers to software where the source code is made available to the public, allowing anyone to view, use, modify, and distribute it. The video mentions that Llama 3 outperforms other open-source models in the challenges, emphasizing the model's advanced capabilities in comparison to other publicly available AI models.

💡Snake Game

The snake game is a classic video game where the player controls a snake that grows in length as it eats food. In the video, Llama 3 is tasked with creating the code for a snake game in Python, which is then executed and played by the host. The successful creation and functioning of the game serve as a testament to the model's comprehensive understanding of game mechanics and programming logic.

Highlights

Testing Llama 3, a large language model released by Meta.

Llama 3 will undergo coding, logical, reasoning, and game creation tests.

Utilizing Hugging Face chat with the Llama 3 70 billion instruct parameter model.

Successfully created a function to return the sum of two numbers in Python.

Efficiently found a discount calculation function.

Virtual DAC function to convert digital to audio was accurately generated.

Correctly identified the domain name from the DNS pointer.

Generated an identity matrix function, passing the hard challenge.

Failed the expert level challenge of generating an ECG sequence, but successfully fixed the error upon request.

Outperformed most open-source models, only failing at the expert level challenge.

Logical and reasoning test involved calculating the total number of clips sold by Natalia.

Correctly calculated W's earnings for 50 minutes of babysitting.

Demonstrated the ability to solve problems separately but faced difficulty when solving them together in the same request.

Successfully created a snake game in Python, showcasing the model's capabilities in game creation.

The snake game included features such as resetting upon collision and scoring.

The presenter expressed a positive outlook on Llama 3 being a game changer in the open-source large language model world.

Plans to create more videos, including fine-tuning the large language model.

Encourages viewers to like, share, subscribe, and stay tuned for more content.