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How RAG Gen AI Helps Businesses Retrieval-Augmented Generation (RAG) enhances AI by combining real-time data retrieval with generative models, making it highly effective for businesses. Key Benefits: Better Decision-Making – Provides real-time ins

How I can accumulate data? I'm running a Video Editing Agency and I've clients, I would like to use their social media profile to have some data what I can use for my own benefit. But I don't have any idea about data collection. Can anyone help me

the Moon, Venus, and Saturn aligned in the dawn sky, forming a shape that resembled a smiling face. This extraordinary sight is known as a triple conjunction, and it doesn’t happen often.

India's Power Source... The per capita electricity consumption in India surged to 1,395 KWh in 2023-24, an increase of 45.8% from 957 KWh in 2013-14.. As per the Niti Aayog data , Coal still generates more than 70% of India's electricity in 2025 .

hey @medial team there is a bug in ur app which is basically as you follow someone and instantly switch to following from follower to following it is not intially updating it if you go through it twice or thrice it still not updated i think you shoul

As The Data thing is growing ( context: giants are buying Data of users ) so opportunities on data science will be increasing soon and demand will increase soon as I feel. for example data analyst, data engineer, data scientist, etc. I think it's

Steps to Enter Data Science 1. Learn the Basics: Master programming languages like Python and R, as well as tools like TensorFlow, sci-kit-learn, and Tableau. 2. Choose Your Field: Select a specific industry, such as healthcare or finance, and lear

Whatever you are building just remember that it must be connected to data anyhow so that it can used for LLMs as well, think upon it what you can do ! I am thinking as well, Because data will be the future !

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing