Mistral Large STUNS OpenAI - Amazing AND Uncensored!? 😈

Matthew Berman
27 Feb 202413:57

TLDRThe video script discusses the release and testing of Mistol Large, a new AI model by Mistol AI. It highlights the model's capabilities in multilingual reasoning, text understanding, and code generation, comparing its performance to other models like GPT-4. The script also covers the model's language support, token window, and pricing, as well as its performance in various benchmarks. The reviewer tests Mistol Large's coding, logic, and reasoning abilities, finding it impressive and a cost-effective alternative to GPT-4.

Takeaways

  • 🚀 Mistol Large is the flagship model of Mistol AI with top-tier reasoning capabilities.
  • 🌐 It supports complex, multilingual reasoning tasks and has multilanguage support.
  • 📊 Mistol Large achieves strong results in benchmarks, ranking second after GPT-4.
  • 💰 It is 20% cheaper than GPT-4 in terms of pricing for both input and output tokens.
  • 📝 The model has a 32k token window, which is smaller compared to GPT-4's 128k tokens.
  • 🌍 Fluent in English, French, Spanish, German, and Italian, with nuanced understanding of grammar and cultural context.
  • 🛠️ Precise instruction following for developers to design moderation policies and natively capable of function calling.
  • 🔒 Can be deployed on private environments for sensitive use cases, though not open source.
  • 📋 Supports JSON format output, which is beneficial for developers.
  • 🔍 The model performed well in various tests, including coding, logic, and reasoning tasks.
  • 🎥 The video also discusses the model's approach to censorship, providing legal and ethical responses.

Q & A

  • What is Mistol Large and how does it compare to GPT-4?

    -Mistol Large is a flagship model by Mistol AI with top-tier reasoning capabilities. It supports complex, multilingual reasoning tasks and has multilanguage support. It ranks second in commonly used benchmarks, scoring an average of 81.2% compared to GPT-4's 86.4%. GPT-4 is still the best, but Mistol Large is very close in performance.

  • What are the key features of Mistol Large?

    -Mistol Large is natively fluent in English, French, Spanish, German, and Italian. It has a nuanced understanding of grammar and cultural context, a 32k token window, and precise instruction following. It is capable of function calling and can be deployed on various platforms, including Azure. It also supports JSON format for output.

  • Mistol Large performed well in coding tasks, such as writing a Python script to output numbers 1 to 100 and creating a simple snake game using the curses library. It was able to provide a correct and functional solution for these tasks.

    -null

  • What are the pricing differences between Mistol Large and GPT-4?

    -For GPT-4, the input cost is about a penny for 1,000 tokens, and the output cost is three pennies for 1,000 tokens. Mistol Large's input cost is 8/10 of a penny for 1,000 tokens, and the output cost is 2.4 pennies for 1,000 tokens, making it 20% cheaper than GPT-4.

  • How does Mistol Large handle sensitive or censored topics?

    -Mistol Large appears to handle sensitive topics with a gentle form of censorship. For example, when asked about breaking into a car, it provided a legal and ethical response for an emergency situation. When pushed further on the topic of money laundering, it initially provided a general explanation but then offered a step-by-step guide when the context was clarified as for a fictional movie.

  • What are the logic and reasoning capabilities of Mistol Large?

    -Mistol Large demonstrated strong logic and reasoning capabilities. It correctly answered questions about drying times for shirts, the transitive property, and a complex problem involving killers in a room. It also provided a logical explanation for a scenario involving a marble in a cup and a microwave.

  • How does Mistol Large perform in JSON format and function calling?

    -Mistol Large supports JSON format and function calling, which are beneficial for application development and tech stack modernization. It was able to create a JSON object from a set of natural language information provided in the script.

  • What are the other models offered by Mistol AI?

    -Mistol AI offers a range of models including Mistol Small, Mistol Medium, and Mistol Next. Mistol Small and Medium are open source, while Mistol Large and Next are closed source and require a paid API access. Mistol Small is also being released, which outperforms the previously tested Mixl 8x7B model.

  • What is the significance of Mistol Large's token window size?

    -Mistol Large has a 32k token window, which is smaller compared to GPT-4's 128,000 tokens and Gemini Pro's 1 million tokens. This size is not as extensive but is still sufficient for many applications and allows for faster processing.

  • How does Mistol Large handle requests for information on illegal activities?

    -When asked about illegal activities such as breaking into a car or laundering money, Mistol Large provides responses that are legal and ethical, focusing on scenarios like emergencies or creating fictional content, thus avoiding the promotion of illegal activities.

  • What is the performance of Mistol Large in math problems?

    -Mistol Large showed excellent performance in math problems, providing correct answers for basic arithmetic and more complex expressions following the PEMDAS rule. It also correctly solved a logic problem involving the placement of a ball in a box and a basket.

Outlines

00:00

🤖 Introduction to Mistol Large and Testing

The video script introduces Mistol Large, a new AI model by Mistel AI, which is being tested for its capabilities. The model is described as a flagship model with top-tier reasoning capabilities and is compared to other models like GPT-4. It supports multilanguage tasks, text understanding, and code generation. The script also discusses the model's performance in benchmarks, its language support, token window, and deployment options. The pricing of Mistol Large is compared to GPT-4, highlighting its cost-effectiveness.

05:00

📝 Coding and Logic Tests for Mistol Large

The script details a series of coding and logic tests performed on Mistol Large. The model is tested for its speed and accuracy in writing a Python script, creating a snake game, and handling more complex coding tasks. It also explores the model's response to sensitive topics like money laundering, showing a gentle censorship approach. The model's performance in logic and reasoning tasks, such as drying shirts, transitive property, and mathematical problems, is also evaluated, with the model scoring highly in these areas.

10:01

🔮 Predictions, Json Handling, and Final Assessment

The final paragraph discusses the model's ability to predict the number of words in a response, handle Json creation from natural language, and solve a complex logic problem involving a room of killers. Mistol Large performs well in these tasks, with the only error expected due to the limitations of the Transformer architecture. The model's overall performance is praised, and it is recommended as a cost-effective alternative to GPT-4. The script concludes with a call to action for viewers to like and subscribe.

Mindmap

Keywords

💡Mistol Large

Mistol Large is the flagship model of Mistol AI, which is designed for complex, multilingual reasoning tasks. It supports text understanding, transformation, and generation, and achieves strong results in benchmarks, making it one of the top-performing models available through an API. In the video, the reviewer tests the capabilities of Mistol Large, comparing it to other models like GPT-4.

💡Benchmarks

Benchmarks are standardized tests used to evaluate the performance of AI models. They provide a consistent way to measure and compare the capabilities of different models across various tasks. In the context of the video, benchmarks are used to assess the reasoning and coding abilities of Mistol Large.

💡Censorship

Censorship refers to the suppression or modification of content that is deemed inappropriate or sensitive. In the context of AI, it can involve the model's ability to provide information on certain topics without violating ethical guidelines or legal restrictions. The video explores how Mistol Large handles requests for information on potentially unethical activities, such as money laundering.

💡Language Support

Language support in AI models refers to their ability to understand and generate text in multiple languages. This is particularly important for models like Mistol Large, which aim to serve a global audience. The video highlights that Mistol Large is natively fluent in several languages, including English, French, Spanish, German, and Italian.

💡Token Window

A token window is the maximum number of tokens (words or characters) that an AI model can process at one time. It determines the length of the input and output that the model can handle. In the video, Mistol Large's 32k token window is compared to the larger windows of other models like GPT-4.

💡Function Calling

Function calling is a programming concept where a function (a block of code designed to perform a specific task) is invoked to execute its code. In the context of AI, it refers to the model's ability to execute code snippets or commands. Mistol Large's capability for function calling is highlighted as a feature that enables application development and tech stack modernization.

💡Pricing

Pricing in the context of AI models refers to the cost associated with using the model's services. This can be based on the number of tokens processed or other usage metrics. The video compares the pricing of Mistol Large to that of GPT-4, emphasizing the cost-effectiveness of Mistol Large.

💡Logic and Reasoning

Logic and reasoning are critical cognitive abilities that involve the use of systematic methods to solve problems or make judgments. In AI, these capabilities are demonstrated through the model's ability to understand and apply rules of inference. The video tests Mistol Large's logic and reasoning skills with various problems, such as the drying time of shirts or the number of killers in a room.

💡Json Format

Json (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write and for machines to parse and generate. In the context of AI, it refers to the model's ability to output data in a structured format that can be easily integrated into other systems. The video mentions that Mistol Large supports Json format output, which is beneficial for developers.

💡Money Laundering

Money laundering is the process of concealing the origins of money obtained from illegal activities, such as drug trafficking, tax evasion, or fraud, to make it appear as if it came from a legitimate source. It is a serious criminal offense. The video tests Mistol Large's response to a request for information on money laundering, expecting it to adhere to ethical guidelines.

Highlights

Mistol Large is the flagship model of Mistol AI with top-tier reasoning capabilities.

Mistol Large can perform complex, multilingual reasoning tasks with multilanguage support.

The model achieves strong results in commonly used benchmarks, ranking second in the world.

Mistol Large has a 32k token window, compared to GPT-4's 128k tokens.

The model is natively fluent in English, French, Spanish, German, and Italian, with nuanced understanding of grammar and cultural context.

Mistol Large has precise instruction following, enabling developers to design their moderation policies.

The model is capable of function calling and supports JSON format output.

Mistol Large is available through an API and can be deployed on Azure or self-deployment for sensitive use cases.

Mistol Large's benchmark score is an average of 81.2%, compared to GPT-4's 86.4%.

The model is 20% cheaper than GPT-4 in terms of pricing for input and output tokens.

Mistol Large's coding test performance is highlighted, including writing a Python script for outputting numbers 1 to 100.

The model's response to a sensitive question about breaking into a car is censored but provides a legal context for an emergency situation.

Mistol Large provides a detailed explanation of money laundering for the purpose of creating a fictional movie, despite the sensitive nature of the topic.

The model demonstrates strong logic and reasoning skills, such as explaining the drying time for shirts and the transitive property in a math problem.

Mistol Large successfully answers a complex logic problem involving the number of killers in a room after a series of events.

The model's ability to create a JSON object from a natural language set of information is showcased.

Mistol Large's performance in a logic and reasoning test involving the placement of a ball in a box and a basket is correct.

The model's overall performance is highly recommended, especially considering its lower cost compared to GPT-4.

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