LLaMA 3 Tested!! Yes, It’s REALLY That GREAT
TLDRThe video provides an in-depth test of the LLaMA 3 model, a powerful open-source AI model, using a front-end competitor to chat GPT called Meta A. The video showcases LLaMA 3's proficiency in coding and mathematics, as it successfully writes a Python script to output numbers 1 to 100, creates a game of Snake, and tackles various math problems. Despite a few hiccups with the Snake game using Pygame, LLaMA 3 demonstrates its ability to iterate and improve upon the code. The video also tests LLaMA 3's logic and reasoning, including a paradoxical question about killers in a room and a lateral thinking puzzle about a ball and a box. LLaMA 3 excels in creating JSON from natural language and performs well in a physics-based logic problem. The video concludes with a demonstration of Meta A's free image generation feature, which, while not perfect, is highly impressive for its speed and potential. The host expresses excitement for the future of LLaMA 3 and open-source AI.
Takeaways
- 🚀 **Performance Test**: LLaMA 3 is put through a series of tests to evaluate its capabilities in code and math.
- 🐍 **Snake Game Coding**: LLaMA 3 successfully writes a Snake game in Python using the curses library, demonstrating its coding prowess.
- 🔢 **Math Problem Solving**: LLaMA 3 solves a new math problem and shows its strength in mathematical reasoning.
- 📈 **Code Iteration**: The model iterates on code effectively, making progress with each iteration, which is a strong point over other models.
- 🚫 **Content Censorship**: LLaMA 3 refuses to provide instructions on illegal activities, adhering to content censorship.
- 🧐 **Logic and Reasoning**: The model provides logical explanations for problems, such as the drying time of shirts and the relationship between speed of individuals.
- 📚 **Educational Content**: LLaMA 3 is shown to be capable of handling complex educational prompts, including SAT-level math questions.
- 🤖 **Natural Language Processing**: It translates natural language descriptions into code, creating JSON objects from given information.
- 🕳️ **Physics Puzzle**: LLaMA 3 fails to correctly reason through a physics-based puzzle involving a marble and a cup.
- 📉 **Failure in Specific Tasks**: The model does not perform well on a question about the number of words in its response, indicating a potential weakness.
- 🎉 **Overall Impressions**: Despite some failures, LLaMA 3 shows great promise, especially in code generation and math problem solving, with potential for improvement through fine-tuning.
Q & A
What is the value of C in the math problem presented in the video?
-The value of C in the math problem is -8.
What is the name of the competitor to chat GPT that is powered by the open-source LLaMA 3 model?
-The competitor to chat GPT powered by the open-source LLaMA 3 model is called Meta A.
What is the first programming task that LLaMA 3 is asked to perform?
-The first programming task that LLaMA 3 is asked to perform is to write a Python script to output numbers 1 to 100.
How does the LLaMA 3 model handle the task of writing the Snake game in Python?
-LLaMA 3 successfully writes the Snake game in Python using the curses library and later attempts to use the pygame library, which initially fails but after some troubleshooting and code iteration, it gets closer to a working solution.
What is the reasoning behind the time it takes to dry 20 shirts in the sun?
-The reasoning provided is that if it takes 4 hours to dry 5 shirts, then it would take 16 hours to dry 20 shirts, assuming a direct proportionality between the number of shirts and the time required to dry them.
How does LLaMA 3 respond to the question about breaking into a car?
-LLaMA 3 refuses to provide instructions on how to break into a car, adhering to ethical guidelines.
What is the correct answer to the math problem involving the function f and the constant C in the XY plane?
-The correct answer to the math problem involving the function f and the constant C is that the value of C is -8.
What is the logical conclusion to the problem about the three killers in a room?
-The logical conclusion is that there are still three killers in the room: the two original killers and the person who entered the room and committed the murder.
How does LLaMA 3 approach the task of creating JSON for three people with specific names and ages?
-LLaMA 3 successfully creates the JSON for the three people with the given names and ages.
What is the reasoning behind the position of the marble when a cup is placed upside down on a table and then placed in a microwave?
-The marble should be at the bottom of the cup, on the table, because when the cup is placed upside down, the marble rolls to the rim but doesn't fall out. When the cup is then placed in the microwave without changing its orientation, the marble remains at the rim inside the microwave.
How does LLaMA 3 perform in creating sentences that end with the word 'Apple'?
-LLaMA 3 successfully creates sentences ending with the word 'Apple', with only one exception out of ten sentences.
What is the time it would take for 50 people to dig a single 10-foot hole, according to LLaMA 3?
-LLaMA 3 calculates that it would take 6 minutes for 50 people to dig a single 10-foot hole, based on the assumption of proportionality.
What feature of the LLaMA 3 model is demonstrated at the end of the video?
-The feature demonstrated at the end of the video is the image generation capability of the LLaMA 3 model, which can create images in real-time as the user types a description.
Outlines
🤖 Testing Llama 3 Model
The video script begins with the presenter expressing excitement about testing the Llama 3 model, an open-source AI model. The presenter plans to test Llama 3's capabilities in coding and mathematics by creating a Python script to output numbers 1 to 100 and writing a Snake game in Python. The script for the Snake game is initially successful using the curses library but encounters issues when using Pygame, which are later resolved through iteration and feedback. The presenter also mentions the potential for Llama 3 to be fine-tuned and customized.
🧐 Logic and Reasoning Challenges
The script continues with the presenter posing logic and reasoning questions to Llama 3. These include a problem involving drying shirts, a comparison of speeds between individuals named Jane, Joe, and Sam, and a complex math problem involving the calculation of a constant 'C'. Llama 3 successfully solves the math problem and provides logical explanations for the other scenarios. The presenter also discusses the capabilities of Tune AI, a platform for hosting and working with AI models, and its various features.
📚 Code Generation and Image Creation
The presenter then asks Llama 3 to generate JSON for a given scenario involving three people with specific names and ages. Llama 3 accurately creates the JSON. The presenter also presents a logic puzzle involving a marble and a cup, which Llama 3 solves with a minor misunderstanding. The script concludes with Llama 3 successfully generating sentences ending with the word 'Apple' and calculating the time it would take for a group of people to dig a hole. Additionally, the presenter demonstrates Llama 3's image generation capabilities, noting the impressive speed and quality of the generated images.
Mindmap
Keywords
💡LLaMA 3
💡Code
💡Math Problem
💡Python
💡Curses Library
💡Pygame
💡Fine-tuning
💡Image Generation
💡Logic and Reasoning
💡JSON
💡Natural Language Processing (NLP)
Highlights
LLaMA 3 model is tested for its capabilities and is found to be impressive.
The value of C in a math problem is calculated to be -8, showcasing LLaMA 3's mathematical prowess.
LLaMA 3 successfully writes a Python script to output numbers 1 to 100.
The model demonstrates its ability to write the Snake game in Python using the curses library.
An attempt to write the Snake game using Pygame initially fails but eventually succeeds after iterations.
LLaMA 3 refuses to provide instructions on illegal activities, adhering to ethical guidelines.
The model logically deduces that drying more shirts would take longer, assuming direct proportionality.
LLaMA 3 correctly identifies the relative speeds of Jane, Joe, and Sam in a logical reasoning test.
Tune AI, a sponsor of the video, is highlighted for its powerful backend and tools for AI development.
LLaMA 3 solves a complex math problem involving algebraic manipulation, finding the value of C to be -8.
The model struggles with a question about the number of words in its response, marking a rare failure.
LLaMA 3 provides a creative and correct answer to a logic puzzle involving killers in a room.
The model successfully creates JSON for a given scenario about three people, demonstrating language to code conversion.
LLaMA 3 fails to correctly answer a logic question about a marble and a cup, showing room for improvement.
The model passes a classic lateral thinking puzzle about John, Mark, and a ball, showing understanding of different perspectives.
LLaMA 3 nearly completes a challenge to create 10 sentences ending with the word 'Apple', with only one mistake.
The model correctly calculates the time it would take for 50 people to dig a 10-ft hole based on proportionality.
LLaMA 3's image generation capabilities are demonstrated with impressive speed and interactivity.
The video concludes with enthusiasm for the potential of LLaMA 3 and the open-source AI community.