Hands-on with OpenAI’s API
#>
#> Attaching package: 'jsonlite'
#> The following object is masked from 'package:purrr':
#>
#> flatten
#> Warning in readLines("admin/secrets/openai_api_key.txt"): incomplete final line
#> found on 'admin/secrets/openai_api_key.txt'
#> $id
#> [1] "chatcmpl-AQo8aTPngMxUu3AA3FvwqUonVx8BO"
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#> $object
#> [1] "chat.completion"
#>
#> $created
#> [1] 1730952620
#>
#> $model
#> [1] "gpt-3.5-turbo-0125"
#>
#> $choices
#> index message.role
#> 1 0 assistant
#> message.content
#> 1 1. Define the problem: Identify the business problem or question that needs to be addressed through data analysis.\n\n2. Data collection: Gather relevant data sources that can provide insights into the problem at hand.\n\n3. Data cleaning: Preprocess the data to remove any errors, inconsistencies, or missing values that may affect the quality of the analysis.\n\n4. Data exploration: Use various statistical and visualization techniques to gain a better understanding of the data and identify any patterns or trends.\n\n5. Feature engineering: Create new features or transform existing ones to improve the predictive power of the model.\n\n6. Model selection: Choose the appropriate machine learning algorithm that best fits the problem and data characteristics.\n\n7. Model training: Split the data into training and testing sets, train the model on the training data, and evaluate its performance on the testing data.\n\n8. Model evaluation: Assess the model's performance using metrics such as accuracy, precision, recall, and F1 score.\n\n9. Model deployment: Integrate the model into the production environment to make predictions on new data.\n\n10. Monitor and update: Continuously monitor the model performance and update it as needed to ensure its accuracy and relevance over time.
#> message.refusal logprobs finish_reason
#> 1 NA NA stop
#>
#> $usage
#> $usage$prompt_tokens
#> [1] 19
#>
#> $usage$completion_tokens
#> [1] 237
#>
#> $usage$total_tokens
#> [1] 256
#>
#> $usage$prompt_tokens_details
#> $usage$prompt_tokens_details$cached_tokens
#> [1] 0
#>
#> $usage$prompt_tokens_details$audio_tokens
#> [1] 0
#>
#>
#> $usage$completion_tokens_details
#> $usage$completion_tokens_details$reasoning_tokens
#> [1] 0
#>
#> $usage$completion_tokens_details$audio_tokens
#> [1] 0
#>
#> $usage$completion_tokens_details$accepted_prediction_tokens
#> [1] 0
#>
#> $usage$completion_tokens_details$rejected_prediction_tokens
#> [1] 0
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#>
#>
#> $system_fingerprint
#> NULL