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What does it do?

  • Natural Language Processing
  • Chatbots
  • Virtual Assistants
  • Text Generation
  • Bilingual Communication

How is it used?

  • Access via API
  • input text
  • receive human-like text responses.
  • 1. Import libraries & initialize model
  • 2. Prepare input message
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Who is it good for?

  • Developers
  • Researchers
  • Students
  • Academics
  • Educators

What does it cost?

  • Pricing model : Book Demo / Request Quote

Details & Features

  • Made By

    DeepSeek AI
  • Released On

DeepSeek LLM is an advanced generative AI language model that understands and generates human-like text in both English and Chinese. Developed by DeepSeek AI, this model boasts 67 billion parameters and has been trained on a massive dataset of 2 trillion tokens.

Key features:
- Bilingual capabilities in English and Chinese
- Open source for the research community
- Fine-tuned with additional instruction data for enhanced performance

How it works:
Users interact with DeepSeek LLM primarily through a coding interface, utilizing libraries such as torch and transformers. The process involves:
1. Initializing the model and tokenizer with deepseek-ai/deepseek-llm-67b-chat
2. Preparing and formatting the input message according to the model's requirements
3. Generating a response based on the input, which is then decoded and presented to the user

Integrations:
DeepSeek LLM is accessible as a web-based application through platforms like Hugging Face and can be integrated into various projects via APIs. Its open-source nature allows for broad integration possibilities, including research projects, commercial applications, and educational tools.

Use of AI:
DeepSeek LLM leverages generative artificial intelligence, utilizing a large language model (LLM) with 67 billion parameters. This enables the model to generate contextually relevant and coherent text, mimicking human-like conversation and text generation.

AI foundation model:
DeepSeek LLM is built on a foundation of a large language model with 67 billion parameters, trained on a vast dataset of 2 trillion tokens in both English and Chinese.

How to access:
DeepSeek LLM is open source for the research community and supports commercial use under the MIT License. Users can access the model through platforms like Hugging Face or by integrating it into their projects via APIs.

  • Supported ecosystems
    Hugging Face, DeepSeek AI
  • What does it do?
    Natural Language Processing, Chatbots, Virtual Assistants, Text Generation, Bilingual Communication
  • Who is it good for?
    Developers, Researchers, Students, Academics, Educators

PRICING

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Pricing model: Book Demo / Request Quote

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