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Tatsuro KAWAMOTOCalibration of LLM: Can You Trust The Result If The “logprob” is High?When you use OpenAI’s GPT through the API, you can get `logprobs` for each token in the output, which stands for log-probabilities. In…Jun 10Jun 10
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Charlie LaiinStackademicPricing VIX options using the Heston modelThis study prices VIX options using the Heston model, utilizing the VVIX Index and derived formulas for efficient parameter calibration.Jun 301
Jyoti Prakash MaheswariinGenerative AICalibration Techniques for Language Models: Enhancing Probability AssessmentsLanguage models, particularly large language models (LLMs), have revolutionized the field of artificial intelligence with their ability to…May 232
Gael CloseinTowards Data ScienceBayesian Sensor CalibrationA hands-on tutorial in Python for sensor engineersMay 12
Tatsuro KAWAMOTOCalibration of LLM: Can You Trust The Result If The “logprob” is High?When you use OpenAI’s GPT through the API, you can get `logprobs` for each token in the output, which stands for log-probabilities. In…Jun 10
Jeffrey NäfinTowards Data ScienceHow to Evaluate Your PredictionsBe mindful of the measure you chooseMay 173
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小連同學[paper review] Reliability in Semantic Segmentation: Are We on the Right Track?#reliability #semantic_segmentation #calibration #temperature_scaliMay 21
Uri ItaiinKinomoto.Mag AICalibration: Why Model Scores Aren’t Probabilities and How to Generate Them?Some years ago, I was part of a machine learning consulting team assigned to a project for an insurance firm. Our task was to deploy a…Mar 46
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