Context

Set of circumstances, conditions, or facts that surround a piece of data or a prompt. This can include previous interactions, external knowledge, or specific details that help the AI model generate more accurate, relevant, and coherent responses. For example, in a conversational AI, context might include the history of the conversation, the user's preferences, and any additional information provided during the interaction.

Context is crucial for AI models to understand the subtleties of human language, such as idioms, metaphors, and implied meaning. It enables the model to make more informed decisions and generate responses that are contextually appropriate.

• Improved Accuracy: Context helps AI models avoid misunderstandings and misinterpretations, leading to more accurate responses.
• Relevance and Coherence: By understanding the context, AI models can generate responses that are more relevant to the user's query and coherent within the conversation or task.
• Enhanced User Experience: Contextual understanding improves the overall user experience by providing responses that are tailored to the user's needs and preferences.

• Provide Contextual Information: When interacting with an AI model, provide enough contextual information to help it understand the task or question. For instance, in a customer support chatbot, providing the customer's previous interactions or purchase history can help the AI generate more relevant and helpful responses.
• Use Contextual Understanding: AI models can be trained to understand context through techniques like attention mechanisms in transformer architectures. These mechanisms allow the model to focus on different parts of the input data to capture the context and generate more accurate outputs.
• Fine-Tune for Specific Contexts: Fine-tune AI models on specific contexts to adapt them to particular domains or tasks. For example, fine-tuning a language model on medical texts can help it understand the context of medical queries and generate more accurate responses.

• Conversational Customer Support: A company uses a conversational AI chatbot to handle customer inquiries. When a customer asks, "I recently purchased a new smartphone from your store. How do I set up my email account on it?" the AI model uses the context of the previous interaction (the purchase of the smartphone) to generate a response that includes specific steps for setting up the email account on that particular device.
  
  This contextual understanding ensures that the response is relevant, accurate, and helpful to the customer.

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‍Without Context: "To set up your email account, go to the settings app and follow the prompts."
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With Context: "Since you recently purchased a new smartphone from our store, here are the specific steps to set up your email account on that device: Go to the settings app, select 'Accounts,' choose 'Add Account,' and follow the prompts to enter your email credentials."

With Promptitude, you can easily and securely add context to your prompts and chats at the flip of a switch. Upload documents or scrape websites to build your own knowledge base. Once your content is ready, simply activate it!

All your outputs will consistently reflect your brand’s tone and voice.

• ‍How to Add Context to Your Prompts in One Click
• How to Add Context to Your Chats and Turn Them into a Powerful Assistant

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