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Is RAG All You Need? A Look at the Limits of Retrieval Augmentation

ODSC - Open Data Science

This means that we can classify the failure modes of a RAG system into two main categories: Retrieval failures : when the retriever returns only documents that are irrelevant to the query or misleading, which in turn gives the LLM wrong information to build the final answer from. How does a RAG application fail?

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Predictive Analytics Helps New Dropshipping Businesses Thrive

Smart Data Collective

The good news is that new advances in predictive analytics can help companies develop an edge. You can research social networks, AliExpress, the most popular requests in the search engines, Amazon, news trends, and all other available resources to discover the winning dropshipping product. Make the business legal.

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“Artificial Intelligence Act “— EU attempts to tame the tech dragon

Mlearning.ai

The AI Act classifies AI systems into four categories, EU AI Act is based on risk categorization (Image by author) EU AI Act: What it could mean for Financial Services Industry The provisions of the act are not expected to impact most of the core business of Banks, but only the AI systems which are high risk.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. For example, predict the stock price using the previous day’s price, market movement, and news. In classification, the category of observation is predicted.

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AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When

O'Reilly Media

The financial collapse of 2008 led to tighter regulation of banks and financial institutions. The good news is that plenty of people in the AI community have been thinking, talking, and writing about AI ethics. Even when catastrophes don’t kill large numbers of people, they often change how we think and behave.

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Banks Merge Data Mining and CRM Tools to Boost Profitability

Smart Data Collective

The recent slew of bank failures have created a lot of concerns about the state of the global economy. The good news is that big data technology is helping banks meet their bottom line. The banking sector, in particular, can use big data technology to improve the actuarial analysis of the loan underwriting and approval process.

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Fundamentals of Data Mining

Data Science 101

Classification is a form of supervised learning technique where a known structure is generalized for distinguishing instances in new data. Banks use classification to predict if a client is going to default loan payment or not based on the client’s activities. This technique is used for detecting fake news on social media as well.