#Thread
An interesting story of Kamala Devi hazarika for all Sanatanis...🙏

A Xtian missionary was sent to Assam for the promotion of religion. His name was Cruz. He came across to one the boys from an influential family in Assam to teach him English.
@noconversion

Cont 👇

The p@stor slowly began to study the house and he learned that the boy's grandmother was the most influential person in the house. So he thought 'Corrupting the grandmother's mind can make the whole family Xtian as well as the whole village.

Cont 👇
The p@stor began to tell Grandma the stories of how J€$u$ cured leprosy of lepers, how He gave sight to the blind, etc..But after listening to him, the strong Sanatani grandmother said. A stone turned into a living woman (Ahalya) for our Rama when he touched the stone.

Cont 👇
She spoke of Rama setu where stones floated in sea just by writing his name on the stones and that they are still floating today.
The p@stor continued his efforts but all his tricks went in vain.

Cont 👇
One day he had brought a cake from the church and he thought of offering it to grandmother but he was doubtful that she would eat it. But contrary to his expectation, she took the cake and ate it.

Cont 👇
Feeling triumphant, the p@stor told 'Grandmother, you are eating the prasad of ⛪ you are now a Xtian. I hereby convert you to Xtianity', he said. The grandmother pulled the pa$tor by the ear and told him- ' How big a donkey you are..!!!

Cont 👇
If I am a Xtian for just eating a piece of cake. I feed you from my house every day so why don't you become a Hindu ? You consume the food, air and water every day of this sanatani land then you have become a Hindu long back by this logic.'..P@$tor ultimately lost.

Cont 👇
Like this the great lady played an instrumental role in saving the Nation from being misled and also prevented many Assamese from being converted. After this she known as the famous revolutionary of Assam...🙏

#hinduism
#SayNotoConversion
#SanatanaDharma

More from श्रीमाली हितेश अवस्थी 🇮🇳

#Thread
अट्ठारह पुराणों का संक्षिप्त परिचय

पुराण शब्द का अर्थ ही है प्राचीन कथा, पुराण विश्व साहित्य के सबसे प्राचीन ग्रँथ हैं, उन में लिखित ज्ञान और नैतिकता की बातें आज भी प्रासंगिक, अमूल्य तथा मानव सभ्यता की आधारशिला हैं..

👇👇


वेदों की भाषा तथा शैली कठिन है, पुराण उसी ज्ञान के सहज तथा रोचक संस्करण हैं। उन में जटिल तथ्यों को कथाओं के माध्यम से समझाया गया है, पुराणों का विषय नैतिकता, विचार, भूगोल, खगोल, राजनीति, संस्कृति, सामाजिक परम्परायें, विज्ञान तथा अन्य बहुत से विषय हैं,..

👇👇

विशेष तथ्य यह है कि पुराणों में देवी-देवताओं, राजाओं, और ऋषि-मुनियों के साथ साथ जन साधारण की कथाओं का भी उल्लेख किया गया हैं, जिस से पौराणिक काल के सभी पहलूओं का चित्रण मिलता है।

👇👇

महृर्षि वेदव्यासजी ने अट्ठारह पुराणों का संस्कृत भाषा में संकलन किया है, ब्रह्मदेव, श्री हरि विष्णु भगवान् तथा भगवान् महेश्वर उन पुराणों के मुख्य देव हैं, त्रिमूर्ति के प्रत्येक भगवान स्वरूप को छः पुराण समर्पित किये गये हैं, इन अट्ठारह पुराणों के अतिरिक्त सोलह उप-पुराण भी हैं।
👇

पुराणों का संक्षिप्त परिचय:

1. ब्रह्म पुराण

ब्रह्मपुराण सब से प्राचीन है, इस पुराण में दो सौ छियालीस अध्याय तथा चौदह हजार श्र्लोक हैं, इस ग्रंथ में ब्रह्माजी की महानता के अतिरिक्त सृष्टि की उत्पत्ति, गंगा अवतरण तथा रामायण और कृष्णावतार की कथायें भी संकलित हैं,..

👇👇

More from All

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)

You May Also Like

My top 10 tweets of the year

A thread 👇

https://t.co/xj4js6shhy


https://t.co/b81zoW6u1d


https://t.co/1147it02zs


https://t.co/A7XCU5fC2m