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Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks
Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks
  • Get Started
    • Introduction
    • Installation
    • Creating a client
    • Playground
    • FAQs
  • Models
    • An Overview of Cohere's Models
    • Embed
    • Rerank
    • Aya
  • Text Generation
    • Introduction to Text Generation at Cohere
    • Using the Chat API
    • Streaming Responses
    • Predictable Outputs
    • Advanced Generation Parameters
    • Tool Use
    • Tokens and Tokenizers
    • Summarizing Text
    • Safety Modes
  • Embeddings (Vectors, Search, Retrieval)
    • Introduction to Embeddings at Cohere
    • Semantic Search with Embeddings
    • Multimodal Embeddings
    • Batch Embedding Jobs
  • Fine-Tuning
    • Introduction
    • Fine-tuning with the Web-UI
    • Programmatic Fine-tuning
    • Fine-tuning for Chat
    • Fine-tuning for Rerank
    • Fine-tuning for Classify
    • FAQs / Troubleshooting
  • Going to Production
    • API Keys and Rate Limits
    • Going Live
    • Deprecations
    • How Does Cohere's Pricing Work?
  • Integrations
    • Integrating Embedding Models with Other Tools
    • Cohere and LangChain
    • LlamaIndex and Cohere
  • Deployment Options
    • Overview
    • SDK Compatibility
  • Tutorials
    • Cookbooks
    • LLM University
    • Build Things with Cohere!
    • Agentic RAG
    • Cohere on Azure
  • Responsible Use
    • Security
    • Usage Policy
    • Command R and Command R+ Model Card
  • Cohere Labs
    • Cohere Labs Acceptable Use Policy
  • More Resources
    • Cohere Toolkit
    • Datasets
    • Improve Cohere Docs
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  • Welcome to LLM University by Cohere!
Tutorials

Welcome to LLM University!

Welcome to LLM University by Cohere!

We’re so happy you’ve chosen to learn Natural Language Processing (NLP) and large language models (LLMs) with us. Please follow this link to view the full course.

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