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 unveiled its latest large language model, Llama 3.1, available in 45B and 70B versions. This open-source model offers free use for both users and developers, eliminating the need to pay for similar services like GPT or Claude. The model's capabilities are showcased through various tests, including logical reasoning, summarization, creative writing, and technical writing. Despite some limitations in context window and coding tasks, Llama 3.1 demonstrates impressive performance, often outperforming or matching top proprietary models in benchmarks. The video also provides a guide on how to use Llama 3.1 on Meta AI and other platforms, promising a deeper dive and comparison with other models in future videos.

Takeaways

  • 🚀 Meta AI has released a powerful new AI model called 'Llama 3.1' with two versions: 45B and 70B, with the 45B being the default model.
  • 🆓 Llama 3.1 is open source and free for both users and developers, eliminating the need to pay for models from companies like Open AI or Claude.
  • 📊 In benchmarks, Llama 3.1 45B performed comparably or better than GPT 40 and other top models, showcasing its competitive edge in the AI market.
  • 🔍 The script provides a comparison of Llama 3.1 with other models, highlighting its superior performance in several categories.
  • 🌐 Users can access Llama 3.1 directly on Meta's website, and developers can build apps on top of it without limitations.
  • 🔗 The script mentions the availability of different Llama models and the option to download them for local installation.
  • 📝 The video transcript includes a test of Llama 3.1's capabilities across various tasks, such as logical reasoning, summarization, creative writing, and technical writing.
  • 🛠️ The script describes a practical test of Llama 3.1's performance on coding tasks, including creating a game of checkers and a snake game.
  • 📈 The video also discusses the potential of Llama 3.1 for ideation, such as generating ideas for digital products in the VR space.
  • 🔑 The transcript mentions a free resource—a 9-page PDF on prompting techniques for getting better results with large language models.
  • 🔍 The video promises a deeper dive and comparison with other models like GPT 4 and Claude 3.5 in future content.

Q & A

  • What is the name of Meta's new AI model?

    -Meta's new AI model is called Llama 3.1.

  • What are the different versions of Llama 3.1 that Meta has released?

    -Meta has released three different versions of Llama 3.1: 4.5B, 7B, and 8B.

  • Is Llama 3.1 open source and free to use?

    -Yes, Llama 3.1 is completely open source and free to use, both for regular users and developers.

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

    -In various benchmarks, Llama 3.1 either ties or performs better than GPT 40, despite being an open-source, free model.

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

    -Being open source allows developers to build apps on top of Llama 3.1 without having to pay companies like Open AI or Claude, which is a significant advantage for many developers.

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

    -Users can access and use Llama 3.1 on Meta AI by logging in with their Facebook or Instagram accounts. They can choose different models from the settings tab.

  • What are some of the practical tests the video script suggests for evaluating Llama 3.1?

    -The video script suggests testing Llama 3.1 across 10 different categories of prompts, including text generation, summarization, ideation, logical processing, coding, and more advanced tasks.

  • What is the context window limitation when using Llama 3.1 on Meta AI?

    -The context window limitation when using Llama 3.1 on Meta AI is not explicitly stated, but the script mentions that large text inputs like a full webpage may not be processed due to some technical limitations.

  • How does Llama 3.1 perform in tasks like summarizing text and logical reasoning?

    -Llama 3.1 performs well in tasks like summarizing text and logical reasoning, as demonstrated by the script's examples, where it correctly answers a logic puzzle and summarizes a text in bullet points.

  • What are some of the advanced capabilities of Llama 3.1 as showcased in the video script?

    -Some of the advanced capabilities of Llama 3.1 showcased in the video script include generating creative writing, technical writing, ideation for digital products, and even coding tasks like creating a game of checkers or snake.

Outlines

00:00

🚀 Introduction to Meta AI's Llama 3.1 Models

Meta AI has unveiled its most powerful large language models, Llama 3.1, with two versions: 45b and 70b. The 70b model, in particular, is open source and free for users and developers, eliminating the need to pay companies like Open AI or Claude. The model's performance is benchmarked against industry leaders, showing competitive results, especially in math and reasoning tasks. The script also mentions different models available and how to access them on Meta AI's website, highlighting the ease of use for non-technical users and the benefits for developers.

05:01

📝 Practical Testing of Llama 3.1 Across Various Prompts

The script outlines a plan to test Llama 3.1 across 10 different categories, including text generation, summarization, ideation, logical processing, coding, and more advanced tasks. It emphasizes the practical application of the model in various scenarios. The video also references a free 9-page PDF guide on effective prompting techniques for large language models, available on the creator's website, and discusses the limitations encountered when trying to process large text inputs on Meta AI's platform.

10:03

🔍 In-Depth Analysis and Comparison of Llama 3.1's Capabilities

The script provides a detailed account of testing Llama 3.1's capabilities in logical reasoning, text summarization, creative writing, technical writing, SEO optimization, and coding. It compares the model's performance in these tasks with other top models like GPT 4 and Claude 3.5. The video demonstrates the process of using Llama 3.1 for generating a short story, creating a product description, ideating a digital product for Disney, and attempting to create functional code for a checkers game and a snake game. The results show a mixed performance, with successful tasks in summarization and creative writing, but challenges in coding, particularly with the checkers game code.

Mindmap

Keywords

💡Meta's AI Model

Meta's AI Model refers to the artificial intelligence model developed by Meta Platforms, Inc., formerly known as Facebook, Inc. In the context of the video, it is the latest large language model called 'Llama 3.1' with different versions, such as 45B and 70B parameters. The model is significant as it is open source and free to use, which is a departure from proprietary models that often require payment for access or development.

💡Llama 3.1

Llama 3.1 is the name given to Meta's new large language model. It is highlighted in the video for being available in different parameter sizes, including 45 billion and 70 billion parameters. The model is positioned as a competitor to other top AI models like GPT-4 and is noted for its open-source nature, allowing unrestricted use by both users and developers.

💡Open Source

Open Source in the video script denotes that the Llama 3.1 AI model's code is publicly accessible, allowing anyone to view, modify, and distribute it without restrictions. This is a key advantage as it enables a wider community to contribute to its development and use it without the need for licensing fees, as opposed to closed or proprietary software.

💡Large Language Model

A Large Language Model (LLM) is an AI system trained on vast amounts of text data to generate human-like language. In the video, Llama 3.1 is an example of such a model, capable of understanding and producing text across various tasks like summarization, creative writing, and logical reasoning. The script discusses the model's performance in benchmarks and practical tests.

💡Benchmarks

Benchmarks in the context of the video are standardized tests or metrics used to evaluate the performance of AI models. The script mentions that Llama 3.1 is compared to other models like GPT-40 and Claude 3.5 Sonet in various benchmarks, showcasing its capabilities in different areas such as text generation and logical processing.

💡Free to Use

The term 'Free to Use' in the script emphasizes that the Llama 3.1 model can be accessed and utilized without any cost. This is particularly appealing to developers who can build applications on top of the model without incurring fees to companies that own proprietary models.

💡Gro.com

Gro.com is mentioned in the script as a website that allows users to interact with various open-source AI models, including Llama 3.1. It represents an example of a platform that facilitates the use of advanced AI technology for free, highlighting the ease of access to these models for both technical and non-technical users.

💡Technical Writing

Technical Writing in the video refers to the process of creating documents that communicate technical information to a target audience. The script includes a test of Llama 3.1's ability to write a technical specification for a new API endpoint, assessing its capacity to produce structured and clear technical documentation.

💡SEO

SEO stands for Search Engine Optimization, which is the practice of improving a website's visibility in search engine results. In the script, Llama 3.1 is tasked with optimizing a blog post title and meta description for search engines, demonstrating its ability to understand and apply SEO principles to enhance online content discoverability.

💡Coding Test

A Coding Test in the video script is a practical evaluation of Llama 3.1's capability to generate functional code for specific applications, such as creating a game of checkers or snake. It serves as a measure of the model's understanding of programming concepts and its ability to translate that understanding into executable code.

💡Context Window

The Context Window refers to the amount of text an AI model can process at one time. The script discusses a potential limitation in the context window size when attempting to summarize a large amount of text, indicating the model's capacity to understand and generate responses based on extensive input data.

Highlights

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.

Users can access Llama 3.1 for free on Meta's platform without needing to pay for usage like with other models.

Llama 3.1 45B is compared with GPT 40 in benchmarks, showing a tie or a slight lead in some areas.

The open-source Llama 3.1 model outperforms paid models in various benchmarks, indicating its high performance.

Llama 3.1 has three different models available: 8B, 70B, and 405B, each with its unique capabilities.

Meta AI's platform allows users to try the 405B model directly through their website with Facebook or Instagram login.

The video demonstrates how to use Llama 3.1 on Meta AI's platform and another website, gro.com, for practical testing.

The reviewer will test Llama 3.1 across 10 different categories of prompts to evaluate its capabilities.

Llama 3.1 performs well in logical reasoning, providing the correct answer to a math riddle about a snail in a well.

The model successfully summarizes a large text, maintaining a neutral tone and providing bullet points.

Llama 3.1 is capable of creative writing, generating a short story based on a given prompt.

The model creates a persuasive product description for a smartwatch, appealing to young adults as requested.

Llama 3.1 assists in ideation, generating a detailed digital product idea for a company like Disney in the VR world.

The model attempts technical writing, providing a structured technical specification for a new API endpoint.

Llama 3.1 optimizes a blog post title and meta description for SEO, including relevant keywords and attention-grabbing language.

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

The model successfully generates code for a functional snake game, demonstrating its capability in simple game development.

The video concludes with a promise of a deeper dive and comparison with other models like GPT 4 and Claude 3.5 in upcoming videos.

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