C4AI Command R+ 08-2024

A multilingual advanced dialogue generation model with 104 billion parameters.

CommonProductProductivityArtificial IntelligenceMachine Learning

C4AI Command R+ 08-2024 is a large-scale research model with 104 billion parameters, demonstrating highly advanced capabilities, including retrieval-augmented generation (RAG) and tool usage for automating complex tasks. The model supports training in 23 languages and has been evaluated in 10 of those languages. It optimizes various use cases, including reasoning, summarization, and question-answering.

Supports multilingual dialogue
covering 23 languages and optimizing dialogue generation in 10 languages.
Incorporates retrieval-augmented generation (RAG) capabilities to generate responses based on provided document snippets.
Features tool usage capabilities
enabling multi-step tool usage to complete complex tasks.
Supports code interaction
optimizing for code snippet requests
code explanation
and code rewriting.
Facilitates grounded generation based on specific prompt templates

\The target audience includes researchers
developers
and enterprise users who can leverage this model for complex natural language processing tasks such as automated text generation
multilingual dialogue system development
and advanced question-answering system construction.\

Used to build a multilingual customer service chatbot to improve customer service efficiency.
Integrated into enterprise knowledge management systems for automated document retrieval and information summarization.
Employed in the education sector to assist language learning
providing multilingual conversation practice.

Install the transformers library
ensuring version 4.39.1 or higher.
Load the model using AutoTokenizer and AutoModelForCausalLM from Hugging Face.
Define the dialogue input and select available tools as needed.
Use the model's generate method to create responses.

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