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OpenAI - GPT 4

Ayushma leverages the power of OpenAI's GPT-4, a state-of-the-art large language model, to provide advanced capabilities for natural language understanding, text generation, and conversational AI.

GPT-4 Capabilities​

  • Text Generation: GPT-4 excels at generating human-quality text in response to prompts or questions. It can create stories, articles, summaries, dialogues, and more, with a high degree of fluency and coherence.
  • Language Translation: GPT-4 supports translation between multiple languages, enabling Ayushma to communicate with users in their preferred language and provide translations of medical information.
  • Question Answering: GPT-4 can understand, and answer questions based on provided context or knowledge bases, making it suitable for retrieving relevant medical information and providing insights to user queries.
  • Summarization: GPT-4 can generate concise summaries of lengthy texts or conversations, extracting key points and presenting them in a clear and easy-to-understand format.
  • Dialogue Generation: GPT-4 can engage in natural and informative conversations, adapting its responses to the context of the dialogue and the user's input.
  • Code Generation: GPT-4 can generate code in various programming languages, although this capability might not be directly applicable to Ayushma's core functionalities.

Integration with Ayushma​

  • AI Model Selection: Admins can choose GPT-4 as the AI model for specific projects within Ayushma, enabling access to its advanced capabilities for those projects.
  • Prompt Engineering: Crafting effective prompts is crucial for guiding GPT-4's responses and ensuring they align with the desired medical context and objectives.
  • Knowledge Base Integration: GPT-4 can be combined with Ayushma's knowledge base of reference documents to provide contextually relevant and informative answers to user queries.
  • Fine-Tuning: While not explicitly mentioned in the provided code, Ayushma might explore fine-tuning GPT-4 on specific medical datasets to further enhance its accuracy and relevance within the medical domain.

Code Snippets​

Model Selection and Configuration (models/project.py)

class Project(BaseModel):
    # ... 
    model = models.IntegerField(choices=ModelType.choices, default=ModelType.GPT_3_5)
    # ...

Interaction with OpenAI API (utils/openaiapi.py)

def converse(
    # ...
    openai_api_key,
    # ...
):
    # ... use openai_api_key to interact with OpenAI API and generate responses from GPT-4

Benefits and Considerations​

  • Advanced Language Capabilities: GPT-4's sophisticated language understanding, and generation abilities enable Ayushma to provide more nuanced, informative, and contextually relevant responses to users.
  • Multilingual Support: GPT-4's translation capabilities expand Ayushma's reach to a wider audience and facilitate communication across language barriers.
  • Improved Accuracy and Relevance: By leveraging GPT-4's knowledge and reasoning abilities, Ayushma can deliver more accurate and reliable medical information to users.
  • Cost: GPT-4 access might incur higher costs compared to other AI models, which should be considered when selecting it for specific projects.
  • Ethical Considerations: It's important to be mindful of potential biases and ethical implications when using large language models like GPT-4, ensuring responsible and fair application within the medical context.
  • Fine-Tuning: Fine-tuning GPT-4 on medical data can further improve its performance but requires careful consideration of data privacy, security, and potential biases.