Rig Ved 1.43.8

Here it says that there are two types of people who can cause harm to your yagya. One are the misers who although have everything, but they will not help you. The others can cause you harm by taking away the things accumulated for yagya.

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But when we think spiritually actually miser means the bad sanskaar accumulated in us wherein we believe that we are poor and low, when actually we are not. When the cover on our eyes is taken away we have the true realization that we are absolute. In Jagrit we are at

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oneness with this world, in swapna and TEJAS we are at oneness with Prakash, in SUSHUPTI and TURIYA we are in oneness with antaryami. So this realization is necessary.

मा नः॑ सोमपरि॒बाधो॒ मारा॑तयो जुहुरंत ।

आ न॑ इंदो॒ वाजे॑ भज ॥

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Translation:

सोमपरिबाधः - Creating problems in Som yagya.

नः - We.

मा - No.

जुहुरन्त - Violent.

अरातयः - Enemy.

इन्दो - Oh Som!

वाजे - Strength/good grains.

आ भजः - Give from all aspects.

Explanation; We request you to protect us from the enemies who

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want to create difficulties in Somyagya. We request you to protect us from misers and evil people. Oh Somdev! You also increase our strength.

Deep meaning:-Here it says that there are two types of people who can cause harm to your yagya. One are the misers who although

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have everything,but they will not help you. The others can cause u harm by taking away the things accumulated for yagya. But when we think spiritually actually miser means the bad sanskaar accumulated in us wherein we believe that we are poor & low, when actually we are not.

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When the cover on ur eyes is taken away we have the true realization that we are absolute. In Jagrit we are at oneness with this world,in SWAPNA & TEJAS we are at oneness with Prakash,in SUSHUPTI and TURIYA we are in oneness with antaryami. So this realization is necessary.

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🌺श्री गरुड़ पुराण - संक्षिप्त वर्णन🌺

हिन्दु धर्म के 18 पुराणों में से एक गरुड़ पुराण का हिन्दु धर्म में बड़ा महत्व है। गरुड़ पुराण में मृत्यु के बाद सद्गती की व्याख्या मिलती है। इस पुराण के अधिष्ठातृ देव भगवान विष्णु हैं, इसलिए ये वैष्णव पुराण है।


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..ताकि उस समय हम जीवन-मरण से जुड़े सभी सत्य जान सकें और मृत्यु के कारण बिछडने वाले सदस्य का दुख कम हो सके।
गरुड़ पुराण में विष्णु की भक्ति व अवतारों का विस्तार से उसी प्रकार वर्णन मिलता है जिस प्रकार भगवत पुराण में।आरम्भ में मनु से सृष्टि की उत्पत्ति,ध्रुव चरित्र की कथा मिलती है।


तदुपरांत सुर्य व चंद्र ग्रहों के मंत्र, शिव-पार्वती मंत्र,इन्द्र सम्बंधित मंत्र,सरस्वती मंत्र और नौ शक्तियों के बारे में विस्तार से बताया गया है।
इस पुराण में उन्नीस हज़ार श्लोक बताए जाते हैं और इसे दो भागों में कहा जाता है।
प्रथम भाग में विष्णुभक्ति और पूजा विधियों का उल्लेख है।

मृत्यु के उपरांत गरुड़ पुराण के श्रवण का प्रावधान है ।
पुराण के द्वितीय भाग में 'प्रेतकल्प' का विस्तार से वर्णन और नरकों में जीव के पड़ने का वृत्तांत मिलता है। मरने के बाद मनुष्य की क्या गति होती है, उसका किस प्रकार की योनियों में जन्म होता है, प्रेत योनि से मुक्ति के उपाय...
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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