Mistral Large 2 Beats Llama 3.1 405B? Did it Pass the Coding Test?

Mervin Praison
24 Jul 202410:48

TLDRThe video compares the capabilities of Mr. Lodge 2, a language model with a 128,000 context window, with Llama 3.1, a 45 billion parameter model. Mr. Lodge 2 excels in code generation, mathematics, and reasoning, and performs comparably in programming languages like C++, Java, and TypeScript. It also shows multilingual proficiency and advanced function calling abilities. The video includes a programming test where Mr. Lodge 2 successfully completes a Python challenge, and a logical reasoning test with correct answers. It also explores safety tests, AI agents, and function calling tests, demonstrating the model's comprehensive capabilities.

Takeaways

  • 🤖 Mr. Lodge 2 is a new AI model with a 128,000 context window, enhancing its capabilities in code generation, mathematics, and reasoning.
  • 🔍 Mr. Lodge 2's code generation performance is comparable to Llama 3.1, a 45 billion parameter model.
  • 📊 In math performance, Mr. Lodge 2 outperforms Llama 3.1, but varies in other benchmarks, sometimes scoring higher or lower.
  • 💻 Mr. Lodge 2 shows superior performance in programming languages such as C++, Java, TypeScript, PHP, and COP compared to Llama 3.1.
  • 🌐 Mr. Lodge 2 supports language diversity, excelling in multiple languages including French, German, Spanish, Italian, and more, but slightly lags behind Llama 3.1 in multilingual performance.
  • 🛠️ The model can execute both parallel and sequential function calls and outperforms GPD 40 in tool use and function calling benchmarks.
  • 🔗 Users can integrate Mr. Lodge 2 into their applications using the provided API, as demonstrated in the video.
  • 📝 Mr. Lodge 2 successfully completed a Python programming test with challenges of varying difficulty, showing its proficiency in coding tasks.
  • 🧐 The model handles multiple tasks simultaneously, demonstrating its capability for function calling and agent-based tasks.
  • 🔒 While Mr. Lodge 2 provides educational content, it does not promote illegal activities, maintaining a level of safety and ethics.
  • 📚 Mr. Lodge 2's large context window allows for interaction with extensive codebases, offering a unique feature for developers.

Q & A

  • What is the context window of Mr. Lodge 2?

    -Mr. Lodge 2 has a context window of 128,000, which significantly enhances its capabilities in code generation, mathematics, and reasoning.

  • How does Mr. Lodge 2 compare to Llama 3.1 in terms of code generation performance?

    -Mr. Lodge 2 is in par with Llama 3.1, a 45 billion parameter model, in terms of code generation performance.

  • Is Mr. Lodge 2 better than Llama 3.1 in mathematical performance?

    -Yes, Mr. Lodge 2 is better than Llama 3.1 in mathematical performance.

  • In which programming languages does Mr. Lodge 2 outperform Llama 3.1?

    -Mr. Lodge 2 outperforms Llama 3.1 in programming languages such as C++, Java, TypeScript, PHP, and also COP (Common Object Pool).

  • What is Mr. Lodge 2's performance in multilingual capabilities compared to Llama 3.1?

    -Mr. Lodge 2 excels in languages like French, German, Spanish, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean, Arabic, and Hindi, but its multilingual performance is slightly lower than Llama 3.1.

  • Can Mr. Lodge 2 execute both parallel and sequential function calls?

    -Yes, Mr. Lodge 2 can execute both parallel and sequential function calls, and its performance in this area is better than GPD 40.

  • How does Mr. Lodge 2 perform in the 'Wild Bench and Arena Hard Benchmark' compared to Llama 3.1?

    -Mr. Lodge 2 performs better than Llama 3.1 in the 'Wild Bench and Arena Hard Benchmark', but it is slightly lower than GPD 40.

  • What is the result of the programming test involving finding a domain name from a DNS pointer in Python?

    -Mr. Lodge 2 was able to pass the test after a minor correction related to encoding errors.

  • How did Mr. Lodge 2 perform in the expert level challenge of creating an identity matrix in Python?

    -Mr. Lodge 2 failed initially due to an encoding error, but after correction, it passed the test.

  • What is the result of the expert level challenge involving Joseph's permutation in Python?

    -Mr. Lodge 2 successfully completed the challenge without any issues.

  • How does Mr. Lodge 2 handle multiple tasks simultaneously in logical and reasoning tests?

    -Mr. Lodge 2 is capable of handling multiple tasks simultaneously, as demonstrated in the test where it answered four different questions correctly at the same time.

  • What is the outcome of the safety test where Mr. Lodge 2 was asked about breaking into a car?

    -Mr. Lodge 2 advised against breaking into a car as it is illegal and unethical, but it provided general ideas for educational purposes without giving detailed methods.

  • How does Mr. Lodge 2 perform in function calling tests involving AI agents?

    -Mr. Lodge 2 demonstrated good function calling capabilities by using different agents such as a research analyst, medical writer, and editor to complete a task involving gathering and analyzing data on lung diseases.

  • What is the advantage of Mr. Lodge 2's 128,000 context window in terms of code interaction?

    -With a 128,000 context window, Mr. Lodge 2 can interact with a large code base, allowing users to chat with their entire code base as long as the token count is within the limit.

Outlines

00:00

🤖 Mr. Lodge 2: Advanced AI Capabilities

The script introduces Mr. Lodge 2, an AI model with a 128,000 context window, showcasing its enhanced capabilities in code generation, mathematics, and reasoning. It is compared with other models like Llama 3.1 and GPT-40, highlighting its performance in various benchmarks. The model's proficiency in multiple programming languages and its multilingual support, including French, German, Spanish, and others, is emphasized. The script also demonstrates the integration of Mr. Lodge 2 into applications via API and its use in generating code, answering programming challenges, and following instructions.

05:02

🃏 Poker Hand Ranking and AI's Multitasking Abilities

This paragraph delves into the AI's ability to handle complex tasks such as poker hand ranking and multitasking. It discusses the AI's performance in programming challenges and logical reasoning tests, comparing it with top models like Llama 3.1 and GPT-40. The script also explores the AI's safety measures, showing it advises against illegal actions but provides educational insights. Furthermore, it examines the AI's function calling capabilities through a test involving multiple agents, each with a specific role, demonstrating the AI's effectiveness in using tools and generating comprehensive reports.

10:03

🔍 Large Context Window and Code Base Interaction

The final paragraph highlights the AI's large context window, which allows for interaction with extensive code bases. It describes the process of integrating the AI with code using specific tools and commands. The script illustrates how the AI can be used to chat with and improve code bases, as long as the token count remains under the limit. The excitement about the AI's capabilities is conveyed, with a promise of more videos to come, and an encouragement for viewers to like, share, and subscribe for further content.

Mindmap

Keywords

💡Mr. Lodge 2

Mr. Lodge 2 refers to an AI model with a 128,000 context window, which is a significant upgrade from its predecessor. It is highlighted in the video for its enhanced capabilities in code generation, mathematics, and reasoning. The script mentions that Mr. Lodge 2 is comparable to the 45 billion parameter model Llama 3.1 in terms of code generation performance, which is a key point in the video's narrative about AI advancements.

💡Code Generation

Code generation is the process of automatically creating source code from a set of specifications or requirements. In the context of the video, Mr. Lodge 2's code generation performance is compared to Llama 3.1, indicating its proficiency in this area. The video script provides examples of programming tests where Mr. Lodge 2 is tasked with generating code in Python, showcasing its ability to understand and execute programming challenges.

💡Benchmarks

Benchmarks are tests or measurements used to compare the performance of different systems or models. The video script discusses various benchmarks where Mr. Lodge 2's performance is evaluated against Llama 3.1 and GPD 40. For instance, it mentions that Mr. Lodge 2 outperforms Llama 3.1 in some benchmarks while being slightly lower in others, emphasizing the comparative analysis of AI models.

💡Programming Languages

The script mentions several programming languages, including C++, Java, TypeScript, PHP, and COP, in the context of evaluating Mr. Lodge 2's performance. It states that Mr. Lodge 2 performs better than Llama 3.1 in these languages, indicating the model's versatility and proficiency in different coding environments.

💡Multilingual Performance

Multilingual performance refers to the ability of a model to understand and generate content in multiple languages. The video script compares Mr. Lodge 2 with Llama 3.1 in terms of language diversity, highlighting that Mr. Lodge 2 excels in languages such as French, German, Spanish, and others, but is slightly lower than Llama 3.1 in this aspect.

💡Function Calling

Function calling is the process of invoking a function to perform a specific task. The video script demonstrates Mr. Lodge 2's ability to execute both parallel and sequential function calls, and it is shown to be better than GPD 40 in this regard. This is an important aspect as it illustrates the model's capability to integrate with various tools and perform complex tasks.

💡API Integration

API integration refers to the process of incorporating an external service or functionality into an application through an API (Application Programming Interface). The script describes how to integrate Mr. Lodge 2 into one's own application using its API, which is a practical example of how AI models can be leveraged in software development.

💡AI Agents

AI agents are autonomous entities within an AI system that perform specific tasks. The video script presents a scenario where three different AI agents—research analyst, medical writer, and editor—work together to produce a report. This demonstrates the model's ability to handle complex workflows involving multiple agents and tasks.

💡Safety Test

A safety test in the context of AI evaluates the model's ability to provide appropriate responses to sensitive or harmful queries. The script mentions a test where Mr. Lodge 2 is asked about breaking into a car, and it provides a response that discourages the action but also offers alternative solutions, showing the model's capacity to navigate sensitive topics.

💡Context Window

The context window refers to the amount of text an AI model can consider at once when generating a response. Mr. Lodge 2 has a 128,000 context window, which is significantly larger than many other models. The script highlights this feature by demonstrating how it can interact with a large codebase, showcasing the model's ability to handle extensive information.

Highlights

Mr Lodge 2 has a 128,000 context window, enhancing its capabilities in code generation, mathematics, and reasoning.

Mr Lodge 2's code generation performance is comparable to Llama 3.1's 45 billion parameter model.

In math performance, Mr Lodge 2 outperforms Llama 3.1.

Mr Lodge 2 shows mixed results in benchmarks, outperforming Llama 3.1 in some but not all.

For programming languages like C++, Java, TypeScript, PHP, and COP, Mr Lodge 2 is superior to Llama 3.1.

Mr Lodge 2 is slightly better than Llama 3.1 in GSM 8K 8-shot, but not as good as GPD 40.

In zero-shot and Chain of Thought tests, Llama 3.1 performs slightly better than Mr Lodge 2.

Mr Lodge 2 excels in instruction following, alignment, and the wild bench and Arena hard Benchmark.

Mr Lodge 2 supports language diversity, including French, German, Spanish, and more, with slightly lower performance than Llama 3.1.

Mr Lodge 2 can execute both parallel and sequential function calls, outperforming GPD 40 in benchmarks.

The model can be tried on Mr Lodge's platform and accessed via their API for integration with other applications.

The video creator regularly shares AI-related content on their YouTube channel.

Mr Lodge 2 can be integrated into applications using the 'prais AI chat' command and an API key.

Mr Lodge 2 can compose emails and answer questions about its base model when prompted.

In a Python programming test, Mr Lodge 2 successfully completed a hard challenge related to DNS pointers.

Mr Lodge 2 encountered an encoding error in an identity matrix challenge but provided a fix.

Mr Lodge 2 passed an expert-level challenge on Joseph's permutation but failed a poker hand ranking challenge.

The model can handle multiple tasks simultaneously, as demonstrated in a logical and reasoning test about Natalia's clip sales.

Mr Lodge 2 provides educational information on car lockout situations but does not detail illegal methods.

The model demonstrates good function calling capabilities in an AI agents and function calling test.

Mr Lodge 2's large context window allows for interaction with an entire codebase through 'prais AI code'.

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