Benefits
Meet Mistral AI
Mistral AI is on a mission to push AI forward. It’s cutting-edge models reflect the company's ambition to become the leading supporter of the generative AI community, and elevate publicly available models to state-of-the-art performance.
Use cases
BigDataCorp uses Mistral AI to reduce analysis costs by 50%
Thoran Rodrigues, CEO of BigDataCorp, describes how the company launched a solution that leverages Mistral AI models in Amazon Bedrock in less than a month. Their solution, Generative Biography, converts structured information that was previously delivered in spreadsheets into text. The product was launched in 20 days - from conception to operation - and has already resulted in a 50% reduction in decision-making costs.
Model versions
Mistral Large 2 (24.07)
The latest version of Mistral AI's flagship large language model, with significant improvements on multilingual accuracy, conversational behavior, coding capabilities, reasoning and instruction-following behavior.
Max tokens: 128K
Languages: Dozens of languages supported, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, Polish, Arabic and Hindi
Fine-tuning supported: No
Supported use cases: multilingual translation, text summarization, complex multilingual reasoning tasks, math and coding tasks including code generation
Mistral Large (24.02)
Mistral Large is a cutting-edge text generation model with top-tier reasoning capabilities. Its precise instruction-following abilities enables application development and tech stack modernization at scale.
Max tokens: 32K
Languages: Natively fluent in English, French, Spanish, German, and Italian
Fine-tuning supported: No
Supported use cases: precise instruction following, text summarization, translation, complex multilingual reasoning tasks, math and coding tasks including code generation
Mistral Small (24.02)
Mistral Small is a highly efficient large language model optimized for high-volume, low-latency language-based tasks. It provides outstanding performance at a cost-effective price point. Key features of Mistral Small include RAG specialization, coding proficiency, and multilingual capabilities.
Max tokens: 32K
Languages: English, French, German, Spanish, Italian
Fine-tuning supported: No
Supported use cases: Optimized for straightforward tasks that can be performed in bulk, such as classification, customer support, or text generation
Mixtral 8x7B
A 7B sparse Mixture-of-Experts model with stronger capabilities than Mistral AI
7B. Uses 12B active parameters out of 45B total.
Max tokens: 32K
Languages: English, French, German, Spanish, Italian
Fine-tuning supported: No
Supported use cases: Text summarization, structuration, question answering,
and code completion
Mistral 7B
A 7B dense Transformer, fast-deployed and easily customizable. Small, yet
powerful for a variety of use cases.
Max tokens: 32K
Languages: English
Fine-tuning supported: No
Supported use cases: Text summarization, structuration, question answering,
and code completion
Customers
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Zalando
Zalando is building the leading pan-European ecosystem for fashion and lifestyle e-commerce. They offer an inspiring and quality multi-brand shopping experience for fashion and lifestyle products to about 50 million active customers in 25 markets.
At Zalando, accessing Mistral AI models in Amazon Bedrock has been a game-changer for our multinational operations across Europe. Mistral Large provides exceptional support and native fluency for European languages that empowers our diverse workforce to communicate seamlessly, fostering collaboration and inclusivity by using the models to draft emails in German, French, and other languages. Personally, the model’s German language capabilities have greatly aided my own language learning journey. Mistral's multilingual accuracy and nuanced understanding of grammar and cultural context paired with Amazon Bedrock's secure and serverless single API allows us to deliver exceptional service to our customers across the region.
Samay Kapadia, ML Engineering Manager, Zalando -
BigDataCorp
AWS has enabled us to realize our vision and bring a robust product to market in less than three weeks, at a much lower cost than any comparable generative AI solutions. Amazon Bedrock allows us to focus on developing the business solutions our clients need, instead of having to worry about the challenge of downloading and running complex AI models at scale ourselves. Through our use of Amazon Bedrock with Mistral 7B, we have been able to achieve a higher ROI in a shorter period of time.
Thoran Rodrigues, CEO & Founder, BigDataCorp -
Superinsight
Superinsight is a fast-growing legal tech startup in the U.S. that leverages generative AI to assist attorneys with disability claims, including Social Security, veterans' disability, personal injury, and workers' compensation. For decades, the overwhelming demand has far exceeded the number of available attorneys. Superinsight dramatically boosts productivity, allowing lawyers to handle more cases and ensuring that individuals with disabilities receive the benefits they deserve.
At Superinsight, we process thousands of medical records for individuals in need. By leveraging the Mistral 7B model in Amazon Bedrock, we can efficiently extract data and uncover insights 10x faster, 25x cheaper, and identify 3x more insights that humans often miss, which is crucial in our business since any overlooked evidence can impact the outcome of each case. This powerful combination allows us to deliver superior medical reviews to our attorneys, enabling them to assist more people with disabilities.
Nelson Chu, CEO, Superinsight