Mistral AI lance son CHATGPT (et une nouvelle IA incroyable)
TLDRThe video discusses the French AI startup Mistral, which has achieved a record fundraising round, making it a unicorn. Mistral's AI models are smaller but perform at levels comparable to larger models, with a focus on the 'Mixture of Experts' technology. The company has announced a new AI model, Mistral Large, and a partnership with Microsoft Azure. The video also explores the performance of Mistral Large in various benchmarks and compares it with other AI models like GPT-4. The presenter tests Mistral Large's capabilities through live demonstrations, including creating an explanatory text and a comparative table, and provides insights into its potential and challenges.
Takeaways
- 🚀 Mistral, a French AI startup, has achieved a record fundraising round, becoming a unicorn valued at over $1 billion.
- 🌐 Mistral's AI models are smaller yet perform at levels comparable to larger models, offering high performance with lower resource consumption.
- 🤖 The startup is known for its 'Mixture of Experts' (MOE) technology, which divides the AI model into experts and activates only the most relevant ones for a task.
- 📈 Mistral Large, the company's most powerful model, is set to be integrated with Microsoft's Azure tools, thanks to a multi-year partnership.
- 🔍 Mistral Large has impressive benchmark results, ranking second in the mMLU benchmark, just behind GPT-4 and ahead of other major AI players.
- 📝 Mistral Large offers a context window of 32,000 tokens, allowing for extensive text input and output, though it's still below GPT-4's 128,000 tokens.
- 🌍 Performance in non-English languages is significantly lower compared to English, highlighting a challenge for AI models trained primarily on English data.
- 🔗 Mistral's AI solutions are being integrated into products and processes by companies like BNP Paribas, Brave browser, and Claud.
- 📊 Mistral Large's performance in coding and mathematical problem-solving benchmarks is competitive, though it may require more training than GPT-4 to match its performance.
- 🗣️ The chatbot 'Chat Noir' (Mistral's GPT chat) is designed to showcase the capabilities of Mistral's AI models, though it may not directly compete with other chatbots like GPT-4.
- 🔥 Mistral's rapid growth and technological advancements make it a promising player in the AI field, despite current performance gaps compared to market leaders.
Q & A
What is the name of the French AI startup mentioned in the script?
-The name of the French AI startup is Mistral.
How much funding did Mistral raise in late 2023?
-Mistral raised a record amount of nearly 400 million euros in late 2023.
What does the term 'unicorne' refer to in the context of the startup valuation?
-A 'unicorne' refers to a startup valued at over one billion dollars. Mistral's valuation is close to two billion dollars.
What are the two main reasons why Mistral is making a lot of noise in the international AI scene?
-Mistral is making a lot of noise because its AI models are smaller than most but still achieve high performance, and for its 'mixture of experts' technology, which optimizes resource usage by activating only the most relevant experts for a given request.
What is the name of the new AI model released by Mistral?
-The new AI model released by Mistral is called Mistral Large.
Which company has Mistral partnered with to accelerate the adoption of their technology?
-Mistral has partnered with Microsoft to accelerate the adoption of their technology.
What is the significance of Mistral Large's context window of 32,000 tokens?
-A context window of 32,000 tokens means that Mistral Large can handle and generate responses based on a very large amount of context, which is equivalent to about 32,000 words or roughly a 200-page book.
How does Mistral Large perform in the MLMU benchmark compared to other AI models?
-In the MLMU benchmark, Mistral Large ranks second, just behind GPT-4 but ahead of other major AI players like Claude from Anthropic and G Mini Pro from Google.
What is the main concern for Mistral in terms of its international presence?
-The main concern for Mistral in terms of international presence is its lack of notoriety, which the partnership with Microsoft is expected to help address.
How does the script address the issue of AI models being more performant in English than in other languages?
-The script discusses that AI models are often trained primarily or exclusively on English data, which is more abundant on the internet, leading to better performance in English. This poses risks for cultural, philosophical, and geopolitical diversity.
What is the purpose of the chat GPT released by Mistral?
-The chat GPT released by Mistral, named 'the chat noir' (black chat), is an illustrative example of what can be developed with Mistral's AI models. It is not necessarily aimed at directly competing with other chat AIs like Chat GPT in the long term.
Outlines
🚀 Introduction to Mistral AI and Its Global Impact
The video script introduces Mistral, a French AI startup that has gained international attention after a record-breaking funding round in late 2023. Mistral's AI model, which consumes less while providing high performance, is highlighted, along with its unique 'Mixture of Experts' technology. The script also mentions a new partnership with Microsoft Azure, which is expected to accelerate the adoption of Mistral's technology.
📊 Performance Benchmarks and Language Capabilities
The script discusses the performance benchmarks of Mistral's AI model, comparing it to other major AI players like GPT-4 and Google's models. It emphasizes Mistral's impressive ranking in the benchmark, particularly in logical reasoning tests. The script also addresses the importance of language capabilities, noting that AI models perform better in English due to the dominance of English-language data on the internet, which raises concerns about cultural and geopolitical implications.
🌐 Global Performance and Language Challenges
The video script continues to explore the performance of Mistral's AI model in different languages, noting a significant drop in performance when compared to English. This language disparity is attributed to the AI models being primarily trained on English data. The script also touches on the potential risks of AI models being more proficient in English, which could lead to the spread of Anglo-Saxon values and influence geopolitical outcomes.
🔍 Testing Mistral Large and Its Features
The script describes a live test of Mistral's AI model, focusing on its conversational capabilities and its ability to understand and reason. It also discusses the potential of Mistral's AI for various tasks, such as programming and mathematical problem-solving. The script highlights the importance of user feedback in the Arena ranking system, which reflects real-world performance.
💬 Chat GPT from Mistral: A Demonstrative Tool
The script introduces Mistral's Chat GPT, a conversational AI assistant designed to showcase the capabilities of Mistral's AI models. It discusses the chat's interface, which adapts to the user's preferred theme (dark or light), and its purpose as an illustrative tool rather than a direct competitor to other AI chat models. The script also mentions the chat's ability to handle different AI model selections and its performance in live tests.
📝 Creating Content with Mistral Large
The script details the process of using Mistral Large to create content, such as explanatory texts and comparative tables. It highlights the AI's ability to understand and execute complex tasks, including generating HTML code for a web page. The script also compares the performance of Mistral Large with other AI models like GPT-4 and GPT 3.5, noting that while Mistral Large may not be as performant for the general public, it shows great potential for businesses and technical professionals.
🌟 Future Prospects and Business Focus
The script concludes with a discussion on Mistral's future prospects, emphasizing its rapid innovation and performance improvements over the past year. It suggests that Mistral's primary target audience is not the general public but rather businesses with significant needs and budgets. The script also mentions the potential for Mistral to attract the attention of technical profiles interested in AI, and the creator's intention to share more about AI in upcoming videos.
Mindmap
Keywords
💡Mistral
💡GPT (Generative Pre-trained Transformer)
💡Mixture of Experts (MOE)
💡Azure
💡Benchmark
💡Language Model
💡Startup
💡Unicorn
💡AI Performance
💡Notoriety
💡Chat GPT
Highlights
French AI startup Mistral has achieved a record fundraising round, raising nearly 400 million euros.
Mistral is now valued at over 1 billion dollars, approaching a 2 billion dollar valuation.
Mistral's AI models are smaller than most but perform at levels comparable to larger AI models, consuming less resources for equivalent or superior performance.
Mistral uses a technology called Mixture of Experts (MOE), which divides the AI model into several experts, activating only the most relevant ones for a given request, saving computational power.
Mistral has announced a new AI model called Mistral Large, which is set to challenge GPT-4.
Mistral Large will be available through Microsoft's Azure tools, following a multi-year partnership announcement.
Mistral Large has a context window of 32,000 tokens, allowing for responses or inputs of up to 32,000 words.
Mistral Large ranks second in the MLU benchmark, just behind GPT-4 and ahead of other major AI players.
Mistral Large's performance in the Winog benchmark for scenario prediction is 89.2% accuracy.
In the ARC C benchmark for logical reasoning, Mistral Large leads in the ARC C5 test and is nearly on par with GPT-4 in ARC C25.
Mistral Large's performance in the Trivia benchmark for knowledge testing is 82.7% accuracy.
In the Truthful QA benchmark for verifying the truthfulness of AI statements, Mistral Large scores 50.5% accuracy.
Mistral Large's performance varies significantly across languages, with a notable drop in performance when tested in French compared to English.
Mistral Large outperforms the competition in the MBPP benchmark for coding, but lags behind GPT-4 in mathematical problem-solving benchmarks.
Mistral Large's performance in the Arena benchmark, which is based on user feedback, is yet to be determined but expected to be high.
Mistral has been integrated into products and processes by companies like BNP Paribas, Brave browser, and Claud.
Mistral has released a chatbot named Chat Noir (Black Cat), which illustrates the capabilities of Mistral's AI models.
Mistral Large's ability to generate explanatory text and comparative tables is demonstrated, showing its understanding and reasoning capabilities.
Mistral Large's performance in analogical thinking prompts is compared to GPT-4 and GPT-3.5, showing its potential in creative problem-solving.
Mistral Large's capability to generate HTML code for a web page is tested, showcasing its practical applications in web development.
The potential of Mistral Large for enterprise adoption and its focus on attracting technical profiles interested in AI is discussed.
The rapid innovation and performance improvements in Mistral's AI models over the past year are highlighted.
