Meta's New AI Model is Here and it BEATS GPT 4o - Llama 3.1 405B Review

Skill Leap AI
23 Jul 202414:04

TLDRMeta AI has launched Llama 3.1, a powerful open-source language model that rivals GPT-40 in benchmarks. The model is available for free on Meta AI's website and can be used without limitations. The video demonstrates Llama 3.1's capabilities in various tasks, including logical reasoning, text summarization, creative writing, and technical writing.

Takeaways

  • 🚀 Meta AI has released a powerful new large language model called Llama 3.1, available in two versions: 45B and 70B.
  • 🆓 Llama 3.1 is completely open source and free to use without limitations for both users and developers.
  • 🔍 The model's performance is compared with top models like GPT-40 and Claude 3.5 Sonet, showing competitive results in various benchmarks.
  • 🏆 Llama 3.1 45B model outperforms in several categories, including a high score of 96.8 in one benchmark, indicating its strength.
  • 🌐 Users can access Llama 3.1 on Meta's website, with the option to choose between different models and enjoy features like dark mode.
  • 🔗 The script mentions a partnership with various companies to provide additional capabilities beyond the standard Llama model.
  • 📝 In practical tests, Llama 3.1 demonstrated capabilities in logical reasoning, summarization, creative writing, and technical writing.
  • 🛠️ The model attempted to generate code for a checkers game but was unsuccessful, highlighting the challenges in coding tasks for large language models.
  • 🎮 However, it successfully provided working code for a simple snake game, showing its potential in certain coding scenarios.
  • 📈 The script suggests that Llama 3.1 could be a strong competitor in the AI market, especially considering its open-source nature and high performance.
  • 🔑 The video promises a deeper dive and comparison with other models in the future, indicating ongoing evaluation of Llama 3.1's practical applications.

Q & A

  • What is the name of Meta's new AI model and what is its size?

    -Meta's new AI model is called Llama 3.1, and it comes in two sizes: 45 billion parameters (Llama 3.1 45B) and 70 billion parameters (Llama 3.1 70B).

  • How does Llama 3.1 compare to GPT-40 in terms of performance on benchmarks?

    -Llama 3.1 45B is compared with GPT-40, and while they are very close in some benchmarks with scores like 88.6 and 88.7, Llama 3.1 generally outperforms GPT-40 in most other categories.

  • What are the advantages of using Llama 3.1 over other proprietary models like GPT or Claude?

    -Llama 3.1 is completely open source and free to use, meaning users and developers do not have to pay companies like Open AI or Claude to use their models for applications.

  • Is there a difference between the Llama 3.1 45B and 70B models?

    -Yes, the main difference is the size, with Llama 3.1 45B having 45 billion parameters and Llama 3.1 70B having 70 billion parameters. The 70B model is considered the default and is the one that many have been waiting for.

  • What is the significance of Llama 3.1 being open source and free?

    -Being open source and free allows for wider accessibility and usage without financial barriers. Developers can build applications on top of Llama 3.1 without limitations and without incurring costs.

  • How can users access and use Llama 3.1 on Meta AI's platform?

    -Users can access Llama 3.1 on Meta AI's platform by logging in with their Facebook or Instagram accounts. They can then select the model they want to use from the settings tab and start using it for free.

  • What is the context window limitation that the script mentions during the summarization test?

    -The context window limitation refers to the amount of text that the model can process at one time. In the script, it's mentioned that Meta AI's platform may not allow processing of very large texts, which could affect the model's performance in summarization tasks.

  • What is the 'Imagine' tab in Meta AI's platform used for?

    -The 'Imagine' tab in Meta AI's platform is used for creating images based on text prompts, showcasing another capability of the AI beyond just text generation.

  • What is the significance of the link created in the technical spec document that doesn't lead anywhere?

    -The creation of a non-functional link in the technical spec document is an artifact of the AI's attempt to generate a realistic document structure. However, it does not provide any actual resource or destination.

  • How did Llama 3.1 perform in the practical tests for logical reasoning and creative writing?

    -Llama 3.1 performed well in logical reasoning, providing the correct number of days for the snail to climb out of the well. In creative writing, it generated a short story that was considered creative and in line with other large language models.

  • What was the outcome of the coding test using Llama 3.1 to create a game of checkers?

    -The initial attempt to create a game of checkers using Llama 3.1 did not function correctly. However, when asked to create a game of snake, the code provided worked without issues.

Outlines

00:00

🦙 Introduction to Meta AI's Llama 3.1 Models

Meta AI has released two powerful versions of their large language model, Llama 3.1: one with 45 billion parameters and another with 70 billion parameters. These models are open source and free to use, unlike models from companies like Open AI or Claude. Users can access these models on Meta AI's website, where they can choose between different models and even use them without limitations. The script discusses a comparison of these models with other top models like GPT-40 and Claude 3.5, highlighting the impressive performance of the open-source Llama models in various benchmarks. The video also mentions the availability of these models for download and use on different platforms.

05:01

📈 Testing Llama 3.1 Across Different Categories

The script outlines a plan to test the Llama 3.1 model across ten different categories of prompts, including text generation, summarization, ideation, logical processing, coding, and more advanced tasks. The aim is to evaluate the model's performance in practical scenarios. The video also mentions a free resource, a 9-page PDF guide on prompting techniques for better results with large language models, available on the creator's website. The guide is intended to help users get the most out of AI models like Llama. The video demonstrates the model's capabilities in logical reasoning, summarizing text, creative writing, and generating marketing prompts, showing its versatility and effectiveness in various tasks.

10:03

💻 Practical Tests and Coding Challenges with Llama 3.1

The script describes practical tests conducted on the Llama 3.1 model, including summarizing text, creative writing, technical writing, and coding challenges. The model is tested for its ability to generate a short story, create a product description, ideate a digital product, and write technical specifications. It is also challenged with coding tasks such as creating a game of checkers and a game of snake. The results show that while the model can handle some tasks well, such as summarizing text and generating creative ideas, it struggles with more complex coding tasks, highlighting the need for further refinement and testing in practical applications.

Mindmap

Keywords

💡Meta's AI Model

Meta's AI Model refers to the artificial intelligence systems developed by Meta Platforms, Inc. (formerly known as Facebook, Inc.). In the context of the video, it specifically denotes the 'Llama 3.1' models, which are large language models capable of various tasks such as text generation, summarization, and logical reasoning. The video discusses the release of these models and their capabilities, positioning them as a new standard in the AI industry.

💡Llama 3.1 45B

Llama 3.1 45B is one of the versions of Meta's new AI models, indicating a model with 45 billion parameters. It is highlighted as being particularly powerful and is compared with other leading AI models in the video. The '45B' signifies the scale of the model, which is a key factor in its performance and complexity.

💡Open Source

Open Source in the video script refers to the nature of the Llama 3.1 models being freely available for anyone to use, modify, and distribute. This is a significant aspect because it allows developers and users to leverage the AI models without the need for proprietary licenses or payments to Meta, fostering a community-driven approach to AI development.

💡Benchmarks

Benchmarks in this context are standardized tests or metrics used to evaluate the performance of the AI models. The video mentions that Llama 3.1 models are compared against other models like GPT 40 and Claude 3.5 Sonet in various benchmarks, showcasing their capabilities and effectiveness in different areas.

💡Context Window

The term 'context window' refers to the amount of text or data an AI model can process at one time to generate a response. In the video, it is mentioned that there might be limitations to the context window when trying to summarize large amounts of text, which is an important factor in the model's ability to understand and generate comprehensive responses.

💡Technical Writing

Technical writing is a form of writing that communicates technical information to a specific audience. In the video, the AI model is tasked with writing a technical specification for a new API endpoint. The model's ability to structure and detail technical documents is tested, which is crucial for clear and precise communication in technical fields.

💡SEO

SEO stands for Search Engine Optimization, which is the process of improving the visibility of a website or content in search engine results. The video script includes a prompt for the AI to optimize a blog post title and meta description, demonstrating the model's ability to understand and apply SEO principles to enhance online visibility.

💡Checkers Game

In the video, the AI model is prompted to create a game of checkers that can be run as an app on a Mac. This serves as a practical test of the model's ability to generate functional code for a specific application. The outcome of this test provides insight into the model's capacity for practical programming tasks.

💡Snake Game

The Snake Game is a classic video game that involves controlling a snake to eat food and grow while avoiding collisions with its body or the walls. In the video, the AI model is asked to generate code for a Snake game, which is then tested for functionality. This serves as another practical coding challenge for the AI.

💡Gro.com

Gro.com is mentioned in the video as a website that allows users to select and utilize various open-source AI models, including the Llama 3.1 models. It is highlighted as a platform that provides an alternative to using Meta's own platform, offering users more options for interacting with the AI models.

💡Product Description

The video script includes a prompt for the AI to write a product description for a smartwatch, which should be persuasive and appeal to young adults. This demonstrates the model's ability to generate marketing content that is tailored to a specific audience and tone.

Highlights

Meta AI has released their most powerful large language model called Llama 3.1, 45B.

There is also a new version of Llama 3, Llama 3.1 70B, which is the default model.

Llama 3.1 is completely open source and free to use, unlike models from companies like Open AI or Claude.

Users can access Llama 3.1 on Meta AI without any limitations, and developers can build apps on top of it without restrictions.

Llama 3.1 45B is compared to the best models from other companies, including GPT 40.

In benchmarks, Llama 3.1 45B is either tied or loses slightly to GPT 40, but generally outperforms it in most categories.

Llama 3.1 45B scores significantly higher in math and logic benchmarks, reaching 96.8 and 96.4 respectively.

Llama 3.1 has three different models available: 8B, 70B, and 405B.

Meta AI allows users to choose between different models, including the new Llama 3.1 models.

The video demonstrates how to use Llama 3.1 on Meta AI and another website called gro.com.

The video tests Llama 3.1 across 10 different categories of prompts, including text generation, summarization, ideation, and coding.

Llama 3.1 performs well in logical reasoning tasks, such as calculating the number of days it takes for a snail to climb out of a well.

In summarizing text, Llama 3.1 provides a non-promotional, straightforward summary with bullet points.

Llama 3.1 is capable of creative writing, as demonstrated by a short story prompt about a hidden world within a reflection.

The model can generate persuasive product descriptions, as shown in a prompt for a smartwatch targeting young adults.

Llama 3.1 aids in ideation, providing detailed digital product ideas for a company like Disney entering the VR world.

The model struggles with technical writing tasks, such as creating a technical spec for a new API endpoint.

Llama 3.1 can optimize content for search engines, providing improved blog post titles and meta descriptions.

In coding tests, Llama 3.1 provides code for a game of checkers, though the functionality is not fully correct.

Llama 3.1 successfully provides working code for a game of snake, demonstrating its capability in simple game development.