Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Deterministic inference: getting the exact same output every time you run an LLM with identical inputs. Try it yourself: Powered by EigenAI

dabit3's profile picture

nader dabit

187,550 subscribers

29,335 görüntüleme • 7 ay önce •via X (Twitter)

EğitimBilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

#M5StackNew 🎊 The LLM630 Compute Kit is an #AI large language model (#LLM) inference development kit, powered by the #Axera #AX630C SoC with a 3.2 TOPs NPU, it delivers efficient AI inference for tasks like computer vision (CV) and LLM processing.
0:45

#M5StackNew 🎊 The LLM630 Compute Kit is an #AI large language model (#LLM) inference development kit, powered by the #Axera #AX630C SoC with a 3.2 TOPs NPU, it delivers efficient AI inference for tasks like computer vision (CV) and LLM processing.

M5Stack

16,383 görüntüleme • 1 yıl önce

Introducing Summaries! Now, every Exa result can come with an LLM-generated summary, or an answer to any question you specify. Try it for yourself!
0:30

Introducing Summaries! Now, every Exa result can come with an LLM-generated summary, or an answer to any question you specify. Try it for yourself!

Exa

20,390 görüntüleme • 1 yıl önce

We've built the best in house observability for Stagehand 🔭 Get inference time, token usage, LLM output, and more on the new dashboard. No more black box, see everything behind the scenes. See for yourself, get started with npx create-browser-app 🤘
0:30

We've built the best in house observability for Stagehand 🔭 Get inference time, token usage, LLM output, and more on the new dashboard. No more black box, see everything behind the scenes. See for yourself, get started with npx create-browser-app 🤘

Stagehand

10,887 görüntüleme • 11 ay önce

Let's (ab)use an LLM API with excessive agency to delete Carlos' user account! (sorry Carlos!) Try it yourself here:
2:01

Let's (ab)use an LLM API with excessive agency to delete Carlos' user account! (sorry Carlos!) Try it yourself here:

Web Security Academy

12,646 görüntüleme • 4 ay önce

This is a very clever idea to use an LLM with your SQL data. SQL + AI has been tried before, but one of the best parts of this solution is getting the same exact OpenAI's completion API. In other words: You are now talking to an LLM that knows everything about your database and you don't even notice it! I recorded a 2-min video to show you how it works. Thanks to the mindshub team for the collaboration, listening to my feedback, and helping me understand what they built. Go to to try this yourself.
2:07

This is a very clever idea to use an LLM with your SQL data. SQL + AI has been tried before, but one of the best parts of this solution is getting the same exact OpenAI's completion API. In other words: You are now talking to an LLM that knows everything about your database and you don't even notice it! I recorded a 2-min video to show you how it works. Thanks to the mindshub team for the collaboration, listening to my feedback, and helping me understand what they built. Go to to try this yourself.

Santiago

230,445 görüntüleme • 1 yıl önce

Introducing the most precise calculator in the world, powered by GPT-5.2 Try it yourself
0:30

Introducing the most precise calculator in the world, powered by GPT-5.2 Try it yourself

.davιd🎀

2,299,085 görüntüleme • 3 ay önce

Introducing the most precise calculator in the world, powered by GPT-5.2 Try it yourself
0:30

Introducing the most precise calculator in the world, powered by GPT-5.2 Try it yourself

Ann Nguyen

24,077,655 görüntüleme • 6 ay önce

Stop overpaying for every LLM call. 💸 The DigitalOcean Inference Router resolves intent in ~200ms and beats GPT-5.1 and Claude Sonnet 4.5 on routing accuracy. Powered by Rust, WASM, and purpose-built SLMs, it adds milliseconds, not seconds, to every request. 🌊
0:40

Stop overpaying for every LLM call. 💸 The DigitalOcean Inference Router resolves intent in ~200ms and beats GPT-5.1 and Claude Sonnet 4.5 on routing accuracy. Powered by Rust, WASM, and purpose-built SLMs, it adds milliseconds, not seconds, to every request. 🌊

DigitalOcean

19,853 görüntüleme • 21 gün önce

You can literally tell your body what time it is by doing the exact same thing at the exact same time every day. By doing breath, work within 30 minutes of waking, we tell our circadian clock that it's morning and it's time to wake up regardless of our time zone.
0:28

You can literally tell your body what time it is by doing the exact same thing at the exact same time every day. By doing breath, work within 30 minutes of waking, we tell our circadian clock that it's morning and it's time to wake up regardless of our time zone.

Gary Brecka

78,636 görüntüleme • 1 yıl önce

We've run thousands of LLM inference serving benchmarks at Modal. We're releasing the results so you don't have to. We're releasing the code so that you can. Introducing: The LLM Engineer's Almanac. Just in time for the AI Engineer World's Fair.
0:28

We've run thousands of LLM inference serving benchmarks at Modal. We're releasing the results so you don't have to. We're releasing the code so that you can. Introducing: The LLM Engineer's Almanac. Just in time for the AI Engineer World's Fair.

Charles 🎉 Frye

21,976 görüntüleme • 1 yıl önce

Network related hitching / rubberband only on matchmaking servers. I no matter what i try, i can not fix it. Same console output every time the hitch happens. CS2 Fletcher Dunn
0:24

Network related hitching / rubberband only on matchmaking servers. I no matter what i try, i can not fix it. Same console output every time the hitch happens. CS2 Fletcher Dunn

elias

114,304 görüntüleme • 11 ay önce

This is our second head-to-head test between Kling 3.0 and Seedance 2.0. This time, we pushed both models further, including dialogue-driven Sci-fi comedy shots and even a singing scene. Every single shot was generated using: • The exact same base image • The exact same prompt • No re-generate • No second attempt • No prompt refinements. What you see is the pure first output from each model under identical conditions. So… which one performs better? Seedance 2.0 generated by Ilham Setyawan on BytePlus
3:30

This is our second head-to-head test between Kling 3.0 and Seedance 2.0. This time, we pushed both models further, including dialogue-driven Sci-fi comedy shots and even a singing scene. Every single shot was generated using: • The exact same base image • The exact same prompt • No re-generate • No second attempt • No prompt refinements. What you see is the pure first output from each model under identical conditions. So… which one performs better? Seedance 2.0 generated by Ilham Setyawan on BytePlus

Dinda Prasetyo

196,304 görüntüleme • 3 ay önce

The next iteration of Perplexity has arrived: Copilot, your interactive AI search companion. 🚀🤖 Perplexity Copilot guides your search experience with interactive inputs, leading you to a rich, personalized answer, powered by GPT-4. Try it for free at
1:28

The next iteration of Perplexity has arrived: Copilot, your interactive AI search companion. 🚀🤖 Perplexity Copilot guides your search experience with interactive inputs, leading you to a rich, personalized answer, powered by GPT-4. Try it for free at

Perplexity

1,299,727 görüntüleme • 3 yıl önce

The more you look at the DC protest, the more you see - People have the exact same shirts and signs - Identical signs in Spanish - The EXACT SAME signs have been used in past protests (I’ve shared the videos) - Ai says roughly 20% of their signs are IDENTICAL PAID AND ORGANIZED
0:23

The more you look at the DC protest, the more you see - People have the exact same shirts and signs - Identical signs in Spanish - The EXACT SAME signs have been used in past protests (I’ve shared the videos) - Ai says roughly 20% of their signs are IDENTICAL PAID AND ORGANIZED

Wall Street Apes

92,681 görüntüleme • 9 ay önce

When you prompt an LLM for code, you get one deterministic program. However, the LLM actually defines a distribution over many programs, and existing methods discard it‼️ PPoT uses this distribution to extract free performance and efficiency gains. 🧵👇
0:37

When you prompt an LLM for code, you get one deterministic program. However, the LLM actually defines a distribution over many programs, and existing methods discard it‼️ PPoT uses this distribution to extract free performance and efficiency gains. 🧵👇

Daniel Israel

11,358 görüntüleme • 1 ay önce

WTF: Desperate Dems Post Videos Slamming Trump at the Exact Same Time with IDENTICAL Scripts - They're Not Beating the NPC Allegations! Tune in for more top stories here:
3:35

WTF: Desperate Dems Post Videos Slamming Trump at the Exact Same Time with IDENTICAL Scripts - They're Not Beating the NPC Allegations! Tune in for more top stories here:

Alex Jones

81,832 görüntüleme • 1 yıl önce

Introducing News Analyst — a fully verifiable AI engine powered by EigenCloud suite > Uses EigenAI with wallet-signed grants. Temperature locked to zero with fixed entropy seeds. No hallucinations, only deterministic truth. > Every analysis is dispersed as a blob to EigenDA. No database—the state is stored across a validator set on Sepolia. > Generate a DA Commitment for every report. Reconstruct the entire analysis purely from the sharded network. > Sidecar architecture running via Dockerized EigenDA Proxy.
3:34

Introducing News Analyst — a fully verifiable AI engine powered by EigenCloud suite > Uses EigenAI with wallet-signed grants. Temperature locked to zero with fixed entropy seeds. No hallucinations, only deterministic truth. > Every analysis is dispersed as a blob to EigenDA. No database—the state is stored across a validator set on Sepolia. > Generate a DA Commitment for every report. Reconstruct the entire analysis purely from the sharded network. > Sidecar architecture running via Dockerized EigenDA Proxy.

Zeeshan

21,204 görüntüleme • 3 ay önce

Kling 3.0 vs Seedance 2.0, Which one is better? Every single shot was generated using the exact same base image and identical prompt.
3:10

Kling 3.0 vs Seedance 2.0, Which one is better? Every single shot was generated using the exact same base image and identical prompt.

Dinda Prasetyo

86,524 görüntüleme • 3 ay önce

No ETH? No BNB? FlexGas lets you pay gas fees with TWT, USDT, or USDC. ⚙️ Same-chain now, cross-chain coming soon 🔵 Live on @BNBChain & @Ethereum 🔐 Self-custody, always. Powered by EIP-7702 Try it yourself: 🧵
0:27

No ETH? No BNB? FlexGas lets you pay gas fees with TWT, USDT, or USDC. ⚙️ Same-chain now, cross-chain coming soon 🔵 Live on @BNBChain & @Ethereum 🔐 Self-custody, always. Powered by EIP-7702 Try it yourself: 🧵

Trust Wallet

15,470 görüntüleme • 10 ay önce

LLM inference speed with vs. without KV caching: (learn how and why it works below)
0:46

LLM inference speed with vs. without KV caching: (learn how and why it works below)

Avi Chawla

394,519 görüntüleme • 2 ay önce