Tags: openai*

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  1. Function calling allows you to more reliably get structured data back from the model. For example, you can:

    Create chatbots that answer questions by calling external APIs (e.g. like ChatGPT Plugins)
    e.g. define functions like send_email(to: string, body: string), or get_current_weather(location: string, unit: 'celsius' | 'fahrenheit')
    Convert natural language into API calls
    e.g. convert "Who are my top customers?" to get_customers(min_revenue: int, created_before: string, limit: int) and call your internal API
    Extract structured data from text
    e.g. define a function called extract_data(name: string, birthday: string), or sql_query(query: string)
  2. Prompting GPT-4 for multi-visual interactive dashboard creation
    2023-12-18 Tags: , , , , , , by klotz
  3. "You are an assistant that provides insightful analysis and solutions for AWS MWAA error logs. Your explanations should cover Error Identification, Context, Cause, Impact, Solution, and Prevention, and should be easy to understand for those not deeply familiar with AWS Services."
  4. Learn how to summarize large documents using LangChain and OpenAI, addressing contextual limits and cost effectively. This tutorial covers text preprocessing, semantic chunking, K-means clustering, and document summarization.

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