AI 101

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Illustration of Cohere API integration and model functionality for AI applications.
AI Models

Get Started with Cohere: Generate, Embed, and Rerank Models

Learn how to harness the power of Cohere's Generate, Embed, and Rerank models to develop efficient applications. This tutorial walks you through building a simple Streamlit app that utilizes these ...

AI TutorialA screenshot of Cohere's multilingual model clustering questions for better customer support.

Cohere Tutorial: Efficiently Answer Multilingual Questions for Your Business

Learn how to utilize Cohere's groundbreaking multilingual model to effectively answer customer inquiries in various languages. Streamline your customer support with AI-driven techniques for cluster...

AI applicationsSemantic search tutorial with Cohere demonstrating embedding and visualization techniques.

Mastering Semantic Search: A Comprehensive Cohere Tutorial

Explore the concept of semantic search and learn how to build a semantic search engine using Cohere. This tutorial guides you through embedding questions, searching indices, and visualizing results...

AIA comprehensive tutorial on creating a Vectara app for customer support solutions with Generative AI.

Vectara App Tutorial: Building AI Solutions for Customer Support

Explore the Vectara advanced app with step-by-step guidance on creating AI-driven solutions for customer support scenarios. Discover its ecosystem, custom chatbot agencies, and harness powerful sem...

AI ArtTutorial on building a Generation Gallery App using Stable Diffusion and Chroma.

Stable Diffusion Tutorial: Build a Generation Gallery with Chroma's Semantic Search

Learn how to create a Generation Gallery App using Stable Diffusion and Chroma's semantic search capabilities. This step-by-step tutorial covers everything from project setup to advanced features.

AI TutorialCohere multilingual model tutorial for business question answering

Efficiently Answer Business Questions with Cohere's Multilingual Model

Learn how to leverage Cohere's new multilingual model for answering customer questions efficiently. Discover techniques like semantic vector mapping to improve customer support in multiple languages.