🌺Do you know the simple remedies to appease Navagrahas?🌺

💮Offering water to surya regularly will improve sun's strength in your horoscope.

💮Performing Abhishek of shivlingam with Sweetwater strengthen moon position.

💮Donating bottles of water or serving water to...

...working people/labour gives positivity to Mars.

💮Watering plants helps in improvement in weak mercury.

💮Arrange drinking water in any temple, you will be blessed by Jupiter.

💮Distribution of sweet drinks on fridays to teenage girls will make your venus favorable.
💮Arrange drinking water in old age homes, good for Saturn.

💮Arranging drinking water for birds and dogs help to get relief from malefic effects of Rahu and Kethu.

🙏🏻
Courtesy: Gaurav Gupta Astrology

More from Vibhu Vashisth 🇮🇳

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How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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