#NAUKRI Update
Broken past the stiff resistance of 5640.

Sustenance above the same would bring in 5800 followed by 6000.

#StockMarket #StocksInFocus https://t.co/Pex4mVNKS5

SRI KANTESH HANUMANTHA, KADARAMANDALAGI (KAR)
#bharatmandir

KANTESHA means Prabhu full of brightness.
Here, Sri Hanuman appears with a front face and sparkling eyes. Earlier, the village was also called KANTESHPURI on the name of Kantesha Hanuman.

Several thousands of years ago, Hanuman lived in this village. He once saw the Sun and mistaking it to be a fruit, began flying towards it. Since then, this village came to be known as Kadara Man Dalagi. (Kadar means rays, mandala is cluster of rays).

It is believed that King Janmejaya had set up the shrine to get rid of his difficulties.
There is a small pond on the right side of the kshetram where Teppotsava (Float festival) is celebrated.

Kanaka Dasa has praised Sri Kantesha in his various poetic compositions.

Kanaka Dasa was the first devotee to popularize the power of Kantesha. It is said that once Kanaka Dasa was deeply wounded in a battle. To seek blessings, he visited Tirupati but Sri Venkatesha appeared in his dream and advised him to see Kantesha first before seeing him.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.

1/ Stolen from the greatawakening(DOT)win...

I will only be making one post here. Do not ask who I am. Do with this information as you please.

The Trump Card is being played. It's much simpler than you all realize. Some of you have gotten it right.