PROVO "LE CHAT" di MISTRAL AI: il nuovo RIVALE EUROPEO diChatGPT? (prime impressioni MISTRAL LARGE)
TLDRThe video script discusses the new language model, Mistral Large, developed by Mistral AI, a completely European and French entity. It challenges industry giants like Open AI and Anthropic, especially after Microsoft's recent investment in Mistral AI. The model boasts top-tier reasoning capabilities and is available on Azure. Mistral Large is multilingual, optimized for five languages, and can perform tasks such as code generation and following instructions. It ranks second in the MML benchmark, just behind GPT 4. The video also explores Mistral's potential, its partnership with Microsoft, and its capabilities as a virtual assistant. Despite some inconsistencies in responses, Mistral Large shows promise in text generation and creativity, though it may not yet be the definitive alternative to GPT models.
Takeaways
- 🌟 Mistral Large is a new language model developed by Mistral, a fully European and French entity.
- 🚀 It challenges major players in the AI sector, such as OpenAI's GPT models and Anthropic.
- 📈 Mistral Large has been integrated into Microsoft's Azure platform, showcasing a strategic partnership.
- 📊 The model ranks second in the ML Benchmark, just behind GPT-4, indicating strong performance.
- 🌐 Mistral Large is optimized for five languages: English, French, Spanish, German, and Italian.
- 💡 It has a token limit of 32,000 and can natively execute function calls, suggesting versatility in tasks.
- 💰 Mistral's pricing is about 20% cheaper than GPT-4, making it a more cost-effective option for developers.
- 🔍 The model has advanced security features and data protection, which is a key selling point.
- 📝 Mistral Large can perform a wide range of tasks, such as managing calendars, sending messages, and automating activities.
- 📖 It can generate text, follow instructions, and has excellent reasoning capabilities, as demonstrated by its benchmark results.
- 🤖 Mistral has also launched a smaller model and a chatbot interface, offering alternatives to the traditional chatbot experience.
Q & A
What is Mistral Large?
-Mistral Large is a new language model developed by Mistral, a completely European and French entity, known for its top-tier reasoning capacities.
How does Mistral Large perform in benchmarks?
-According to the ML benchmark, Mistral Large ranks second, only behind GPT-4, surpassing Cloud, Gemini Pro, and GPT-3.5.
What languages is Mistral Large optimized for?
-Mistral Large is optimized for five languages: English, French, Spanish, German, and Italian.
Is Mistral Large available on Azure?
-Yes, Microsoft has integrated Mistral Large into its Azure platform, making it accessible for use.
What are some capabilities of Mistral Large?
-Mistral Large can complete multi-lingual tasks, generate code, understand and produce text, follow instructions, and has excellent reasoning abilities.
How does Mistral Large compare to GPT-4 in terms of cost?
-Mistral Large is more economical compared to GPT-4, with costs being about 20% lower.
What is the purpose of Mistral Large's advanced security features?
-The advanced security features of Mistral Large are designed to protect data and ensure the privacy and safety of users and their information.
What kind of assistance can Mistral Large provide as a virtual assistant?
-Mistral Large can provide a wide range of assistance, such as providing information, setting reminders and alarms, managing agendas, sending messages, making calls, and automating tasks.
How does Mistral Large handle creative tasks like writing a sonnet?
-Mistral Large can attempt creative tasks, but its performance may vary, and it may not always produce accurate or structured creative outputs like a sonnet.
What was the outcome of the riddle test with Mistral Large?
-Mistral Large did not consistently provide correct answers to the riddles tested, showing some inconsistency in its reasoning capabilities.
What are the limitations of Mistral Large's current capabilities?
-While Mistral Large shows potential, it does not yet consistently deliver accurate responses across various tasks, and its performance in creative tasks and logic riddles can be improved.
Outlines
🚀 Introducing Mistral Large: A New Language Model
This paragraph discusses the launch of Mistral Large, a new language model developed by Mistral AI, which is gaining attention in the European market. It highlights the model's top-tier reasoning capabilities and its availability on Azure, indicating a partnership with Microsoft. The paragraph also mentions a benchmark that shows Mistral Large's performance, positioning it just behind GPT-4, surpassing other models like Cloud, Gemini Pro, and GPT 3.5. The model is described as multilingual, capable of understanding and generating code, and following instructions with excellent reasoning skills. It also covers the model's optimization for five languages, its token capacity, and native function calling capabilities.
🤖 Capabilities and Applications of Mistral Large
The second paragraph explores the capabilities of Mistral Large as a virtual assistant based on artificial intelligence. It mentions the model's ability to perform a wide range of tasks, such as providing information, setting reminders, managing agendas, sending messages, and making calls. The paragraph also discusses the model's potential in various applications, including chatbots and other AI tools, and its advanced security features for data protection. The user interacts with the model by asking it to describe itself, which showcases its advanced language processing and generation capabilities.
🧩 Testing Mistral Large's Problem-Solving Skills
This paragraph focuses on testing Mistral Large's problem-solving skills through riddles and logical puzzles. The user presents a common riddle about drying T-shirts and another about a ball in a box without a bottom. The model's responses are analyzed, and it is noted that while Mistral Large sometimes provides correct answers, there is inconsistency in its performance. The paragraph also touches on the model's creativity by asking it to write a sonnet about artificial intelligence, which does not meet the expected structure but shows some level of creativity.
🔍 Evaluating Mistral Large's Performance and Future Prospects
The final paragraph evaluates Mistral Large's overall performance, noting that while it has potential, it does not yet consistently provide accurate responses. The user reflects on the model's text generation and creativity, acknowledging its limitations in following instructions and logical reasoning. The paragraph concludes with an invitation for viewers to try the model for themselves, as it is completely free, and suggests that future updates may improve its capabilities.
Mindmap
Keywords
💡Mistral Large
💡Azure
💡Benchmark
💡Multi-lingual capabilities
💡Function calling
💡Chatbot interface
💡Deep Learning
💡Data Security
💡Virtual Assistant
💡Text Generation
💡Riddle Solving
Highlights
Mistral large is a new language model developed by Mistral, a completely European and French entity.
Mistral large is challenging the giants of the AI sector, including Open AI and Anthropic.
Microsoft has decided to invest 100 million euros in Mistral AI.
Mistral large is Mistral's flagship model with top-tier reasoning capacities.
Mistral large is available on Azure, Microsoft's cloud platform.
In a benchmark, Mistral large ranks second only to GPT-4, surpassing Cloud, Gemini Pro, and GPT-3.5.
Mistral large can complete multi-lingual tasks, generate code, understand and produce text, and follow instructions with excellent reasoning capabilities.
Mistral large is optimized for five languages: English, French, Spanish, German, and Italian.
Mistral large has a token window of 32,000 and can execute function calls natively.
Mistral AI has also launched a smaller model called Mistral Small for those who need a more compact version.
Mistral AI has partnered with Microsoft, allowing users to try the model on Azure and Mistral's development platform.
Mistral large is more cost-effective compared to GPT-4, with a price difference of about 20%.
Mistral large is designed for AI chatbot tools and other applications requiring high natural language processing capabilities.
Mistral AI offers advanced security features and data protection.
Mistral large can perform a wide range of tasks, such as setting reminders, managing agendas, sending messages, and making calls.
Mistral large can generate texts, as demonstrated by the creation of an article on the impact of AI in digital advertising.
The model can adjust its tone, as requested, to be more spirited or informal.
Mistral large can add tables to facilitate the understanding of concepts in the generated text.
The model's reasoning capabilities were tested with common riddles, showing mixed results.
Mistral large's creativity was tested by asking it to write a sonnet about artificial intelligence, which did not meet expectations.
The user interface for Mistral large is clean and simple, but basic, allowing only for text input and output.
Mistral AI has also launched a chatbot interface called 'le chat' as an alternative to chat GPT.
The video concludes with an invitation to test Mistral large, which is currently free to use.
