We introduce a new paradigm for dataset creation based on human 🧑‍💻 and machine 🤖 collaboration, which brings together the generative strength of LMs and the evaluative strength of humans. And we collect 🎉 WaNLI, a dataset of 108K NLI examples! 🧵

Paper: https://t.co/IUXcm9wIh2

Our pipeline starts with an existing dataset (MNLI), and uses data maps 📜 to automatically identify pockets of examples that demonstrate challenging 🧐 reasoning patterns relative to a trained model. Then we use GPT-3 to generate new examples likely to have the same pattern. 2/
Next we propose a new metric, also inspired by data maps, to automatically filter generations for those most likely to aid model learning. Finally, we validate ✅ the generated examples through crowdworkers, who assign a gold label 🟡 and (optionally) revise for quality ✍️. 3/
Remarkably, replacing MNLI with WaNLI (which is 4x smaller) for training improves performance📈 on seven OOD test sets🧪, including by 11% on HANS and 9% on ANLI. Under a data augmentation setting, combining MNLI with WaNLI is more effective than using other augmentation sets. 4/
Our method addresses limitations of crowdsourcing, where workers may resort to repetitive writing strategies 🤷, and leverages the great progress in text generation 📃. We get the best of both worlds: 🤖’s ability to produce diverse examples, and 🧑‍💻’s ability to evaluate them. 5/
We hope our work demonstrates the promise of leveraging LMs in a controlled way to aid the dataset creation process, and encourage the community to think of dataset curation as an AI challenge itself 💡. Co-authored with @swabhz @nlpnoah @YejinChoinka 💟 6/6

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Trading view scanner process -

1 - open trading view in your browser and select stock scanner in left corner down side .

2 - touch the percentage% gain change ( and u can see higest gainer of today)


3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )

4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.

5. U can also select those stocks which are going to give range breakout or already given range BO

6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist

7 . Now next day if any stock show momentum u can take trade in it with RM

This looks very easy & simple but,

U will amazed to see it's result if you follow proper risk management.

I did 4x my capital by trading in only momentum stocks.

I will keep sharing such learning thread 🧵 for you 🙏💞🙏

Keep learning / keep sharing 🙏
@AdityaTodmal
1/“What would need to be true for you to….X”

Why is this the most powerful question you can ask when attempting to reach an agreement with another human being or organization?

A thread, co-written by @deanmbrody:


2/ First, “X” could be lots of things. Examples: What would need to be true for you to

- “Feel it's in our best interest for me to be CMO"
- “Feel that we’re in a good place as a company”
- “Feel that we’re on the same page”
- “Feel that we both got what we wanted from this deal

3/ Normally, we aren’t that direct. Example from startup/VC land:

Founders leave VC meetings thinking that every VC will invest, but they rarely do.

Worse over, the founders don’t know what they need to do in order to be fundable.

4/ So why should you ask the magic Q?

To get clarity.

You want to know where you stand, and what it takes to get what you want in a way that also gets them what they want.

It also holds them (mentally) accountable once the thing they need becomes true.

5/ Staying in the context of soliciting investors, the question is “what would need to be true for you to want to invest (or partner with us on this journey, etc)?”

Multiple responses to this question are likely to deliver a positive result.