Hongyang Zhang(@hongyangzh) 's Twitter Profile Photo

Introduce EAGLE, a new method for fast LLM decoding based on compression:
- 3x🚀than vanilla
- 2x🚀 than Lookahead (on its benchmark)
- 1.6x🚀 than Medusa (on its benchmark)
- provably maintains text distribution
- trainable (in 1~2 days) and testable on RTX 3090s

Playground:…

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Rinon Gal(@RinonGal) 's Twitter Profile Photo

Announcing our new work: lcm-lookahead.github.io 🥳

We improve IP-Adapter by training with a new identity-lookahead loss and synthetic, consistent data.

The key idea is to propagate image-space losses (ID, CLIP) through LCM-LoRA instead of single-step DDPM approximations.
1/5

Announcing our new work: lcm-lookahead.github.io 🥳

We improve IP-Adapter by training with a new identity-lookahead loss and synthetic, consistent data.

The key idea is to propagate image-space losses (ID, CLIP) through LCM-LoRA instead of single-step DDPM approximations.
1/5
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Reverse Jinx🧪(@REVERSEJINXPIX) 's Twitter Profile Photo

A little lookahead for Sunday:

  +755

+1222

The Climb Day 2🧗

Huge day today, bigger day tomorrow! Make sure you follow to tap in for the tomorrow morning🍀

What a night🤷‍♂️

A little lookahead for Sunday:

#NBA  +755 #Giveaway

#UFC +1222 #Giveaway

The Climb Day 2🧗#GamblingCommunity #Polls

Huge day today, bigger day tomorrow! Make sure you follow to tap in for the #Saturdaygiveaway tomorrow morning🍀

What a night🤷‍♂️

#sportsbettingpicks #Jinx
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ΛU5(@Au5music) 's Twitter Profile Photo

The sauce no one talks about to get loud clean masters (assuming your mixdown is good)
1. Tonal balance to a 3dB/oct slope with a +9dB low shelf @ 100hz
2. Spectral Compressor with these settings to limit sub
3. 2ms lookahead limiter enabled on soft sections
4. Hard clip drops

The sauce no one talks about to get loud clean masters (assuming your mixdown is good)
1. Tonal balance to a 3dB/oct slope with a +9dB low shelf @ 100hz
2. Spectral Compressor with these settings to limit sub
3. 2ms lookahead limiter enabled on soft sections
4. Hard clip drops
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Liz Webster(@LizWebsterSBF) 's Twitter Profile Photo

Mark Carney is right to declare that Brexiteers destroyed Britain’s future at Canada 2020’s economic lookahead dinner in Toronto last Monday.

“Some right-wing populists see current anxieties as an opportunity to stoke anger because anger is what’s necessary for their project.…

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Ankit Garg(@Ankit_Quant) 's Twitter Profile Photo

Are overnight gaps predictable?

According to my research, on selective days - 'YES'.

The edge is feeble, yet robust enough to put trades on. No lookahead bias or other shenanigans.

'Score' is calculated at 15.25 daily. Returns are until 9.20 next day.

Sneak peak 🫣

Are overnight gaps predictable?

According to my research, on selective days - 'YES'. 

The edge is feeble, yet robust enough to put trades on. No lookahead bias or other shenanigans. 

'Score' is calculated at 15.25 daily. Returns are until 9.20 next day. 

Sneak peak 🫣
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Congressman Seth Magaziner(@Rep_Magaziner) 's Twitter Profile Photo

Joined Congressional Dads Caucus for a lookahead discussion of the biggest fights and priorities of 2024.
 
Top of the agenda? Paid leave, affordable child care, and the Child Tax Credit.

Joined @DadsCaucus for a lookahead discussion of the biggest fights and priorities of 2024.
 
Top of the agenda? Paid leave, affordable child care, and the Child Tax Credit.
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Stat Arb(@quant_arb) 's Twitter Profile Photo

Take this paper that somehow is a textbook. It claims:

Machine learning (Neural Nets) + pairs trading = 3.79 Sharpe

It’s published. Must be right!

*3 mins into reviewing the code for it*

“Yep, there’s the look ahead”

Run it myself, sans lookahead… doesn’t even beat fees

Take this paper that somehow is a textbook. It claims:

Machine learning (Neural Nets) + pairs trading = 3.79 Sharpe 

It’s published. Must be right!

*3 mins into reviewing the code for it* 

“Yep, there’s the look ahead”

Run it myself, sans lookahead… doesn’t even beat fees
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Jack Mallers(@jackmallers) 's Twitter Profile Photo

I just published Strike: 2023 Recap & 2024 Lookahead

Taking a look back at our biggest year yet and looking forward to what we're focused on in 2024

We are laser-focused on being one of the best in the world at and enabling Better Money for all

strike.me/blog/strike-20…

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𝗦𝘂𝗽𝗿𝗼𝘁𝗲𝗲𝗺 𝗦𝗮𝗿𝗸𝗮𝗿(@SuproteemSarkar) 's Twitter Profile Photo

Language models’ pretraining data includes information about historical events

When we use LLMs to make economic predictions, do they leak information about the future?

Keyon Vafa and I develop tests that find evidence of lookahead bias in LLMs, and identify ways forward (1/n)

Language models’ pretraining data includes information about historical events

When we use LLMs to make economic predictions, do they leak information about the future?

@keyonV and I develop tests that find evidence of lookahead bias in LLMs, and identify ways forward (1/n)
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Ebisu10Trading(@KenjiAU13) 's Twitter Profile Photo

2024/05/05 Week, US Dollar Technical Lookahead: Inflation had been driver until Friday's dovish BLS number drained the energy (made up most of last week's losses), if continues then expect higher inflation to save equity market $USD $SPX

2024/05/05 Week, US Dollar Technical Lookahead: Inflation had been driver until Friday's dovish BLS number drained the energy (made up most of last week's losses), if continues then expect higher inflation to save equity market $USD #commodities #forextrading $SPX  #ZN_F
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Rep. Ned Burns(@ned4idaho) 's Twitter Profile Photo

In this week's Lookahead, I'm breaking down school voucher schemes, sex and gender definition disinformation, and artificial intelligence in elections.

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Ivan Blanco(@iblanco_finance) 's Twitter Profile Photo

New Trading Idea! 'Uncertainty-Aware Lookahead Factor Models for Quantitative Investing'

📢 Instead of sorting by factors, let's forecast future factors using deep learning and sort based on those forecasts.

Here's a quick sum up of the paper in under 2 minutes: 👇

New Trading Idea! 'Uncertainty-Aware Lookahead Factor Models for Quantitative Investing'

📢 Instead of sorting by factors, let's forecast future factors using deep learning and sort based on those forecasts.

Here's a quick sum up of the paper in under 2 minutes: 👇
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