Research papers often present a daunting level of complexity or an overwhelming amount of detail that can be challenging to understand and comprehend. Generative AI can make this process of understanding and decoding the document very easy. The document discusses
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Data Science and AI are the basis of Credit Risk. Knowing how various models are created for credit risk (All Major Scores details are publicly available), you can leverage the same to identify best practices to maintain high credit score.
Today’s post shares a summary of key performance indicators (KPIs) for validating large language models (LLMs). It offers concise explanations and formulas for each KPI, along with example values to illustrate what constitutes “good” and “poor” model performance. The KPIs
Credit Scoring Central Agencies are different across different nations. In this article I am going to cover some of the key Credit Scores, and the important parameters for them. For USA Credit Agencies, actual distribution of parameters weights is available
In the previous post we have talked about how Data Science is critical element for Credit Risk. With the invent of Generative AI, LLM models, faster GPUs, there are multiple different applications opening up in the area of Credit Risk.
Credit Risk is one of the key area where Data Science is leveraged heavily, and from many decades now. Today I will cover how Data Science plays a key role in Credit Risk, and they areas it is used. The
ChatGPT which brought a huge revolution in Generative AI space, has seen various key milestones during its development. This document covers its journey from concept to where it currently stands: 𝟐𝟎𝟏𝟓: OpenAI was founded with the vision of creating AGI
SQL remains a key element to begin the path of Data Science. In the upcoming posts, I will cover various aspects of SQL. But first, the initial step is to access a server to run queries freely. In this document,
Writing effective and efficient prompts can make our Generative AI usage very productive. There are some free resources available online which can help you directly copy some best prompts catered to specific need.I am sharing three Free to use Prompt
The field of data science is vast and ever-evolving, a fusion of mathematics, programming, and analytical acumen. Today, I’m sharing a well crafted document that charts a clear course from the basics to the advanced levels of data science expertise.