Unlock the global market with multilingual AI models.

Support 100+ languages and delivers 3X better performance than existing AI models.

(A thread)👇🧵

Introducing Multilingual AI models by Cohere

Multilingual text understanding models are capable of search, content aggregation and recommendation, and zero-shot cross-lingual text classification across 100+ languages.

👉 dashboard.cohere.ai/welcome/register?utm_source=influencer&utm_medium=social&utm_campaign=shubham

Why Multilingual Text Understanding model?

Two key reasons:

- It can translate text from 100+ languages into a standard numeric representation (embeddings)

- It is capable of advanced language understanding via searching by meaning or categorizing text.

What all Cohere's Multilingual AI model can do?

1. Multilingual Semantic Search

Keyword search has its limits, which can often lead to irrelevant results. Semantic search powered by Cohere's multilingual model can improve search quality & works across languages!

2. Customer Feedback Aggregation

Extracting insights from product feedback in multiple languages is now possible with Cohere’s multilingual model that can map text in different languages to the same vector spaces, allowing users to derive insights across languages.

3. Zero-Shot Content Moderation

Tackle the challenge of content moderation across 100+ languages with Cohere's multilingual embedding model! Only requires training data in one language to classify harmful content in 100+ languages.

All you need to try this interesting tool is cohere's API key and a few lines of Python code.

Get the API key here 👉 dashboard.cohere.ai/welcome/register?utm_source=influencer&utm_medium=social&utm_campaign=shubham

Source Code 👉 github.com/cohere-ai/sandbox-multilingual

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