GPT4のライバル登場？Mistral AIについて解説してみた

にゃんたのAI実践チャンネル

2 Mar 202411:56

Summary

TLDRThe video discusses Anthropic, an AI startup known for developing a language model called Claude. It provides an overview of the company, its growth and partnerships, comparing it to competitors like OpenAI. The narrator demonstrates using Claude in a chat interface and discusses its strengths and weaknesses for Japanese language use.

Takeaways

😀 Mistral AI is a Paris-based startup focused on developing large language models
🤔 Mistral AI was founded by ex-Meta and Google employees and recently raised billions of yen in funding
📈 Mistral's models are ranked very highly, second only to OpenAI's GPT models
🌎 Mistral AI believes in openness and has open sourced some models
🤝 Microsoft partnered with Mistral AI to provide access to their models in the cloud
🔬 Mistral's latest model, Mistral Large, is benchmarked to be the 2nd most capable model in the world
💰 Accessing Mistral Large currently requires payment to use their API
🌐 Mistral Large is optimized for European languages so far, not Japanese yet
😊 The Mistral chat interface provides convenient access to test Mistral's models
✨ Mistral AI has potential to keep advancing and stay near the top with models like GPT

Q & A

What is Mistral AI?
-Mistral AI is a French startup based in Paris that develops large language models, similar to OpenAI's GPT models.
Why has Mistral AI been gaining attention recently?
-Mistral AI has developed language models that are reported to be close to GPT-4 in performance, making them the second most capable models behind OpenAI.
What is unique about Mistral AI's models?
-Mistral AI releases many of their models as open source, allowing anyone to freely download and use them.
Why did Microsoft partner with Mistral AI?
-By partnering, Microsoft gains access to Mistral AI's state-of-the-art models to offer through its cloud services. Microsoft also invested over $2 billion into Mistral AI for future model development.
How well does Mistral AI's models currently support Japanese?
-The models are not yet optimized for Japanese. They can generate some Japanese responses but also mix in English unexpectedly.
What is Mistral Large (LaMDA) model?
-LaMDA is Mistral AI's latest and most capable model to date, claimed to be the 2nd most powerful model behind GPT-4.
Is Mistral Large (LaMDA) available publicly?
-No, unlike some previous Mistral models, LaMDA has not been released as open source.
Can LaMDA be tested through Mistral AI's website?
-Yes, Mistral AI offers a public chatbot interface that allows testing LaMDA, NEXT and other models.
How well does LaMDA perform in Japanese currently?
-When provided Japanese informational context, LaMDA can generate fairly coherent Japanese responses, though optimization for Japanese is still limited.
What are some potential future applications if Mistral AI's models progress further?
-The models could become extremely useful in areas like search, question answering, and content generation if progress continues and pricing becomes more affordable.

Outlines

00:00

📣 Introduction to Mistral AI and Its Significance

The video begins with the announcement of a partnership between Microsoft and Mistral AI, hinting at the potential affordability and usefulness of Mistral AI's technology. The speaker, Chine, introduces the topic of the video: understanding who Mistral AI is. Mistral AI has recently made news for developing a high-performance language model. The AI industry is currently competitive, with major companies like Google, Meta, and OpenAI (known for developing ChatGPT) leading the charge. Mistral AI is presented as a strong contender, possibly second only to OpenAI. Founded by former employees of Meta and Google's DeepMind, Mistral AI is a French startup focusing on developing large-scale language models. They have quickly gained attention by raising significant funding shortly after their establishment. Notably, Mistral AI supports open-source development, offering their models on platforms like Hugging Face for public use. This open-source approach allows for secure, customizable use, particularly important for companies handling sensitive information. Despite the current dominance of OpenAI's GPT-4, which is not open-source, Mistral AI's models have shown promising performance, suggesting a bright future for the company in the AI field.

05:01

🌐 Mistral AI's Evolution and Microsoft Partnership

The narrative continues with an explanation of Mistral AI's recent developments, including the launch of a new, high-performance model named Mistral Large, which boasts impressive capabilities, positioning it as the world's second-best in terms of performance. The script discusses the partnership between Microsoft and Mistral AI, which allows the use of Mistral AI's latest models on Microsoft's cloud services and includes a substantial investment from Microsoft for future model development. This partnership highlights Microsoft's strategic positioning, utilizing the top AI models to diversify its portfolio and mitigate risks. The script also touches upon the strategies of different tech companies in the AI space, with Microsoft choosing partnerships over developing proprietary models, contrasting with Google's and Meta's approaches. The video script concludes with an anticipation of Mistral AI's future impact, considering its principles of openness and the challenges of maintaining this ethos while partnering with major corporations like Microsoft.

10:03

🔍 Practical Use and Optimizations of Mistral AI's Models

The final section delves into the practical application of Mistral AI's models, specifically the Mistral Large model, and discusses its optimizations and limitations, particularly regarding language support. Despite being less optimized for Japanese, the model shows potential for practical use by referencing external information in Japanese, suggesting versatility in its applications. The speaker also shares their experience with Mistral AI's models through the Richat interface and discusses the ability to select different models for various needs. Additionally, the script mentions a promotional aspect where the speaker's referral code for PowerplexTI, a platform supporting Mistral AI's models, has been widely used, offering financial benefits to both the speaker and the users. The video concludes with an invitation for viewer feedback and encourages engagement with future content.

Mindmap

Keywords

💡language model

A language model is an AI system that can analyze, understand, and generate human language. The video discusses Mistrial AI's development of large language models that can have conversations. They aim to create models as capable as OpenAI's GPT-4.

💡OpenAI

OpenAI is the leading AI research company known for creating ChatGPT and other powerful language models. Mistrial AI is presented as the main competitor to OpenAI in developing the most advanced conversational AI.

💡ChatGPT

ChatGPT is OpenAI's conversational AI chatbot that can have natural conversations and generate human-like text. The video compares Mistrial AI's models to ChatGPT.

💡GPT-4

GPT-4 is OpenAI's latest unpublished language model expected to be more powerful than ChatGPT. Mistrial AI claims their new Mistrial Large model is the 2nd most capable model after GPT-4.

💡natural language processing

Natural language processing allows AI systems to analyze and generate human language. Large language models from OpenAI and Mistrial AI demonstrate advanced natural language processing abilities.

💡conversational AI

Conversational AI refers to systems like chatbots that can engage in dynamic dialogues with humans. The video focuses on Mistrial AI's development of conversational AI models.

💡text generation

Text generation is an AI technique for automatically creating coherent written texts. Language models like those from Mistrial AI and OpenAI showcase state-of-the-art text generation capacities.

💡cloud computing

Cloud computing provides on-demand internet services like compute power and storage. The partnership with Microsoft will allow Mistrial AI models to be accessed via Microsoft's cloud platform Azure.

💡natural language understanding

Natural language understanding allows AI systems to comprehend and interpret human language. Advanced language models demonstrate increasing natural language understanding to have meaningful conversations.

💡deep learning

Deep learning uses neural networks to learn complex patterns for language modeling and other AI tasks. Mistrial AI leverages deep learning to create its conversational AI models.

Highlights

ミストラルAIはフランスのパリに拠点を置くスタートアップの会社。主に大規模言語モデルの開発を行う。

ミストラルAIは元々メタで働いていた人とGoogleのDEEPMINDで働いていた人が共同で設立。

ミストラルAIの言語モデルの特徴はオープンソースで、誰でも自由にダウンロードして使えること。

最も精度が高いのはオープンソースでないOpenAIのGPT-4で、ミストラルAIのモデルが2番目の性能。

ミストラルラージは現在世界で2番目に性能が高い言語モデルと主張されている。

MicrosoftがミストラルAIとパートナーシップを結び、MicrosoftのクラウドでミストラルAIのモデルを利用可能に。

MicrosoftはOpenAIともパートナーシップを結んでいるため、世界1位と2位の言語モデルを利用可能。

残念ながらミストラルラージはオープンソースではなく、利用するにはミストラルAIにお金を払う必要がある。

ミストラルラージは英語などヨーロッパ言語向けに最適化されているが、日本語もある程度生成できる。

外部情報を参照させる用途なら、ミストラルラージが安くなれば割と使える可能性がある。

Microsoftの戦略は自身でモデルを開発せず、OpenAIやミストラルAIと組むこと。

Googleは自身のモデルであるPaLMを開発しオープンソースで公開する戦略。

メタはラマというモデルを開発しオープンソースで公開する戦略。

どの企業の戦略が成功するかが楽しみなポイントだ。