4.1M views · 262 reactions | Can't have a Large Language Model without Mistral AI Large, now available on Amazon Bedrock. ☁️ Get access to advanced language processing that's capable of understanding 5 languages fluently & top-tier reasoning for complex generative AI tasks. Go big with Mistral Large. https://go.aws/3xiomhY | Amazon Web Services | Facebook
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4.1M views · 262 reactions | Can't have a Large Language Model wit…
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FacebookAmazon Web Services
In “Getting Started With Mistral,” taught by Sophia Yang, you’ll access Mistral AI's collection of open source and commercial models, including the latest Mixtral 8x22B. You'll learn about selecting the right model for your use case, and get hands-on with features like effective prompting techniques, function calling, JSON mode, and Retrieval Augmented Generation (RAG). Perfect for anyone eager to start with LLMs but unsure how. Check it out and share it with a friend! 👉 https://hubs.la/Q02tRDh
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Generative AI on AWS powers customer choice. ☁️💻💥 Mistral AI foundation models are now generally available on Amazon Bedrock. Push your business forward with the accessibility, speed, & personalization needed to put the future of generative AI within everyone’s reach. 🖇 https://go.aws/3uX0vn5 | Amazon Web Services
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285K views · 219 reactions | Hey, developers: The Mistral AI foundation models are now available on Amazon Bedrock. ☁️ Embrace choice when it comes to building generative AI apps with new foundation models that speed up iteration & accelerate innovation. ️ https://go.aws/3V0gNpZ | Amazon Web Services | Facebook
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285K views · 219 reactions | Hey, developers: The Mistral AI foundat…
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FacebookAmazon Web Services
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New course alert ⚠️ Getting Started With Mistral is live now! In this course, built in collaboration with Mistral AI, and taught by Sophia Yang, you’ll access three open source models (Mistral 7B, Mixtral 8x7B, and the latest Mixtral 8x22B), and three commercial models (small, medium, and large), via API calls, and learn to: ➡ Select the right model for your use case, and decide whether your task is either simple, medium, or advanced. ➡ Use Mistral's built-in function calling. ➡ Build a chat int
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