Ask Question
The "General AI Question" endpoint allows you to ask any question and receive an answer generated by the AI. This endpoint is flexible and can be used for a wide range of inquiries, from general knowledge questions to more complex queries that may require specific context.
Endpoint
POST /v1/ai/questionParameters
question (required, string): The specific question you want to ask the AI (e.g., "What are the latest trends in AI development?").
context (optional, string): Additional context or background information to help the AI provide a more accurate or detailed answer (e.g., "Focus on developments in natural language processing").
Example Request: General Knowledge Question
POST /v1/ai/question
{
"question": "What are the latest trends in AI development?",
"context": "Focus on developments in natural language processing"
}Example Response: General Knowledge
{
"question": "What are the latest trends in AI development?",
"context": "Focus on developments in natural language processing",
"answer": "Recent trends in AI development, particularly in natural language processing, include advancements in large language models, increased focus on ethical AI, and the integration of AI in real-time applications like chatbots and virtual assistants."
}Example Request: Scoring an Acquisition Target
Example Response: Scoring an Acquisition Target
Usage Notes
Question Prompt: Clearly define the question to get a precise and relevant answer from the AI.
Context: Providing detailed context allows the AI to evaluate the acquisition target based on specific criteria, yielding a more tailored and insightful response.
Example Use Case: Acquisition Target Evaluation
When evaluating a potential acquisition target, such as a Series B AI-driven healthcare startup, you can use the "General AI Question" endpoint to score the target against specific criteria. By including detailed information about the company's market, team, technology, and financials, the AI can provide a nuanced evaluation that supports your decision-making process. This example shows how you can leverage AI to assess critical factors like market potential, team experience, technology innovation, and financial health to make informed decisions.
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