Загрузка видео...

Не удалось загрузить видео

На главную

Poseidon needs voice data and reliable ground truth in low-resource languages to benchmark against. To ensure LLM transcript accuracy, we worked with linguists to audit Bengali outputs. For a language spoken by 280M people, the gaps we found point to a deeper issue: data ↓

psdnai's profile picture

Poseidon

25,295 subscribers

22,956 просмотров • 6 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Every forecast, every warning, and every dataset we share helps countries turn data to action. By closing data gaps in observations, we can ensure that communities are informed, warned early and better protected wherever they may be. Our power, our planet. #EarthDay
0:19

Every forecast, every warning, and every dataset we share helps countries turn data to action. By closing data gaps in observations, we can ensure that communities are informed, warned early and better protected wherever they may be. Our power, our planet. #EarthDay

World Meteorological Organization

36,578 просмотров • 4 месяцев назад

The Power of Decentralized Data 💪 Data is the new oil, 🛢️ but it's also a valuable asset that needs to be protected. 🛡️ Traditional centralized data storage and processing methods are vulnerable to security breaches and data leaks. 🚨 Inflectiv's decentralized approach offers a more secure and efficient way to manage data. 🔐 By distributing data across the network, we reduce the risk of data loss and ensure that it remains under the control of its rightful owners. 🤝 Experience the power of decentralized data with Inflectiv. 🚀 #Inflectiv #DecentralizedData #DataSecurity #Blockchain
0:15

The Power of Decentralized Data 💪 Data is the new oil, 🛢️ but it's also a valuable asset that needs to be protected. 🛡️ Traditional centralized data storage and processing methods are vulnerable to security breaches and data leaks. 🚨 Inflectiv's decentralized approach offers a more secure and efficient way to manage data. 🔐 By distributing data across the network, we reduce the risk of data loss and ensure that it remains under the control of its rightful owners. 🤝 Experience the power of decentralized data with Inflectiv. 🚀 #Inflectiv #DecentralizedData #DataSecurity #Blockchain

Inflectiv AI ⧉

32,581 просмотров • 1 год назад

LongWriter Unleashing 10,000+ Word Generation from Long Context LLMs discuss: Current long context large language models (LLMs) can process inputs up to 100,000 tokens, yet struggle to generate outputs exceeding even a modest length of 2,000 words. Through controlled experiments, we find that the model's effective generation length is inherently bounded by the sample it has seen during supervised fine-tuning (SFT). In other words, their output limitation is due to the scarcity of long-output examples in existing SFT datasets. To address this, we introduce AgentWrite, an agent-based pipeline that decomposes ultra-long generation tasks into subtasks, enabling off-the-shelf LLMs to generate coherent outputs exceeding 20,000 words. Leveraging AgentWrite, we construct LongWriter-6k, a dataset containing 6,000 SFT data with output lengths ranging from 2k to 32k words. By incorporating this dataset into model training, we successfully scale the output length of existing models to over 10,000 words while maintaining output quality. We also develop LongBench-Write, a comprehensive benchmark for evaluating ultra-long generation capabilities. Our 9B parameter model, further improved through DPO, achieves state-of-the-art performance on this benchmark, surpassing even much larger proprietary models. In general, our work demonstrates that existing long context LLM already possesses the potential for a larger output window--all you need is data with extended output during model alignment to unlock this capability.
0:12

LongWriter Unleashing 10,000+ Word Generation from Long Context LLMs discuss: Current long context large language models (LLMs) can process inputs up to 100,000 tokens, yet struggle to generate outputs exceeding even a modest length of 2,000 words. Through controlled experiments, we find that the model's effective generation length is inherently bounded by the sample it has seen during supervised fine-tuning (SFT). In other words, their output limitation is due to the scarcity of long-output examples in existing SFT datasets. To address this, we introduce AgentWrite, an agent-based pipeline that decomposes ultra-long generation tasks into subtasks, enabling off-the-shelf LLMs to generate coherent outputs exceeding 20,000 words. Leveraging AgentWrite, we construct LongWriter-6k, a dataset containing 6,000 SFT data with output lengths ranging from 2k to 32k words. By incorporating this dataset into model training, we successfully scale the output length of existing models to over 10,000 words while maintaining output quality. We also develop LongBench-Write, a comprehensive benchmark for evaluating ultra-long generation capabilities. Our 9B parameter model, further improved through DPO, achieves state-of-the-art performance on this benchmark, surpassing even much larger proprietary models. In general, our work demonstrates that existing long context LLM already possesses the potential for a larger output window--all you need is data with extended output during model alignment to unlock this capability.

AK

50,995 просмотров • 2 лет назад

OVER x Silencio We’re partnering with Silencio | Voice Data for AI to add a new layer of data to the OVER mapping experience. Starting today, users can optionally capture real-world sound while creating their 3D maps inside the OVER app, and we seamlessly share the noise data with Silencio. This will soon allow mappers who capture both visuals and sound to also unlock additional rewards for their contribution. 🌎 We map physical locations around the world. 🌎 Silencio maps the world through sound. Together combining visual + audio signals , we’re enriching the foundation of Physical AI with deeper, multi-layered real-world data.
0:10

OVER x Silencio We’re partnering with Silencio | Voice Data for AI to add a new layer of data to the OVER mapping experience. Starting today, users can optionally capture real-world sound while creating their 3D maps inside the OVER app, and we seamlessly share the noise data with Silencio. This will soon allow mappers who capture both visuals and sound to also unlock additional rewards for their contribution. 🌎 We map physical locations around the world. 🌎 Silencio maps the world through sound. Together combining visual + audio signals , we’re enriching the foundation of Physical AI with deeper, multi-layered real-world data.

Over the Reality 🌐

144,126 просмотров • 9 месяцев назад

Drive Success with ThinkerCar's Data-Driven Marketing Solutions 🚀 As a leading provider in the auto industry, we utilize extensive automotive data to provide strategic insights. Our solutions cover data analysis, consulting, and comprehensive marketing support. Quality is our hallmark—partner with us for unparalleled data-driven marketing strategies. Leverage 20+ years of automotive data expertise to make informed decisions. With a track record of serving 200+ B2B clients, we offer customized reports and insights. Gain the competitive edge - reach out to us for top-tier data solutions. 📨 service@thinkercar.com 🌐 🛎️ Telegram: #automotiveindustryinsights #cardata #consulting #marketingstrategy #dataservicessolutions #businessgrowth
0:10

Drive Success with ThinkerCar's Data-Driven Marketing Solutions 🚀 As a leading provider in the auto industry, we utilize extensive automotive data to provide strategic insights. Our solutions cover data analysis, consulting, and comprehensive marketing support. Quality is our hallmark—partner with us for unparalleled data-driven marketing strategies. Leverage 20+ years of automotive data expertise to make informed decisions. With a track record of serving 200+ B2B clients, we offer customized reports and insights. Gain the competitive edge - reach out to us for top-tier data solutions. 📨 [email protected] 🌐 🛎️ Telegram: #automotiveindustryinsights #cardata #consulting #marketingstrategy #dataservicessolutions #businessgrowth

ThinkerCar

104,778 просмотров • 1 год назад

We are releasing the fastest TTS model as open source! One of the biggest problems we encountered while optimizing TTS models is optimization itself. Since it is LLM-based, even optimizing with VLLM and SgLang libraries is not enough. Additionally, I made the outputs much better with special optimizations for training. The voices you are listening to are results obtained from only 20% of the model training. We trained these outputs on 8xB200 in 24 hours. Even though the dataset includes some low-quality data, the model's output is much better. We will release the code as open source tomorrow. Data: Emilia-3m Model: EchoDit (custom) Codec: DacVae Opt: Flash-attn + CacheDit
0:12

We are releasing the fastest TTS model as open source! One of the biggest problems we encountered while optimizing TTS models is optimization itself. Since it is LLM-based, even optimizing with VLLM and SgLang libraries is not enough. Additionally, I made the outputs much better with special optimizations for training. The voices you are listening to are results obtained from only 20% of the model training. We trained these outputs on 8xB200 in 24 hours. Even though the dataset includes some low-quality data, the model's output is much better. We will release the code as open source tomorrow. Data: Emilia-3m Model: EchoDit (custom) Codec: DacVae Opt: Flash-attn + CacheDit

Kadir Nar

32,232 просмотров • 29 дней назад

The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd
0:19

The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd

Cyril Zakka, MD

18,128 просмотров • 3 лет назад

Stop believing the lie that we have to build more data centers to compete with China. The US already has 5,381 data centers, which is 12 times as many as China’s 449. US billionaires want more data centers to replace our jobs and the US government wants them to surveil us at home and wage more endless wars abroad. The American people need to wake up and understand that while China is investing in bettering life for its people with housing, education, healthcare, and infrastructure, our own government is investing in making life worse for people both at home and abroad.
0:17

Stop believing the lie that we have to build more data centers to compete with China. The US already has 5,381 data centers, which is 12 times as many as China’s 449. US billionaires want more data centers to replace our jobs and the US government wants them to surveil us at home and wage more endless wars abroad. The American people need to wake up and understand that while China is investing in bettering life for its people with housing, education, healthcare, and infrastructure, our own government is investing in making life worse for people both at home and abroad.

Power to the People ☭🕊

38,150 просмотров • 3 месяцев назад

This week we did a little low crawl training while getting shot at by airsoft. Is it the best training in the history of forever? No. Do you want to get shot at point plank with an airsoft bb cause you weren’t staying low enough to the ground? Also no.
0:19

This week we did a little low crawl training while getting shot at by airsoft. Is it the best training in the history of forever? No. Do you want to get shot at point plank with an airsoft bb cause you weren’t staying low enough to the ground? Also no.

PNWGUERRILLA

84,070 просмотров • 1 месяц назад

𝗛𝗮𝗽𝗽𝘆 𝗠𝗼𝗻𝗱𝗮𝘆, 𝗧𝗲𝗻𝗲𝗼 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆! A new week means new opportunities to unlock the power of social media data! Whether you're running a Teneo node, earning rewards, learning or exploring all we offer, this week is the perfect time to dive deeper into Teneo and make your mark in the decentralized data world. 🌍 #LearnAboutTeneo
0:14

𝗛𝗮𝗽𝗽𝘆 𝗠𝗼𝗻𝗱𝗮𝘆, 𝗧𝗲𝗻𝗲𝗼 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆! A new week means new opportunities to unlock the power of social media data! Whether you're running a Teneo node, earning rewards, learning or exploring all we offer, this week is the perfect time to dive deeper into Teneo and make your mark in the decentralized data world. 🌍 #LearnAboutTeneo

Teneo Protocol

118,109 просмотров • 1 год назад

The global industry standard oracle platform, Chainlink, is now live on the Injective Mainnet. Time to market for dApp developers is critical and now with Injective’s EVM deployment, the iBuild AI dApp creator, onchain financial modules, and Chainlink data streams - developers on Injective can experience one of the fastest time to market anywhere in the industry. Chainlink brings real time Data Streams with sub-second latency to the only blockchain purpose-built for finance. This now gives Injective developers full access to Chainlink’s battle-tested data stream markets across the Injective ecosystem. Helix 🧬 will be the first Injective dApp to integrate Chainlink Data Streams set to power its crypto and RWA markets. Benefits for using Chainlink Data Streams on Injective: ✅ Low latency market data: up to sub-second delivery ✅ Institutional reliability: collaborating with institutional data giants like ICE and FTSE Russell, An LSEG Business ✅ Programmability: custom tailor formats, cadence, and fields to match a dApps exact needs. Injective markets now powered by Chainlink Data Streams. Ninjas are just getting started. 🥷
0:10

The global industry standard oracle platform, Chainlink, is now live on the Injective Mainnet. Time to market for dApp developers is critical and now with Injective’s EVM deployment, the iBuild AI dApp creator, onchain financial modules, and Chainlink data streams - developers on Injective can experience one of the fastest time to market anywhere in the industry. Chainlink brings real time Data Streams with sub-second latency to the only blockchain purpose-built for finance. This now gives Injective developers full access to Chainlink’s battle-tested data stream markets across the Injective ecosystem. Helix 🧬 will be the first Injective dApp to integrate Chainlink Data Streams set to power its crypto and RWA markets. Benefits for using Chainlink Data Streams on Injective: ✅ Low latency market data: up to sub-second delivery ✅ Institutional reliability: collaborating with institutional data giants like ICE and FTSE Russell, An LSEG Business ✅ Programmability: custom tailor formats, cadence, and fields to match a dApps exact needs. Injective markets now powered by Chainlink Data Streams. Ninjas are just getting started. 🥷

Injective 🥷

116,813 просмотров • 9 месяцев назад

Attio x @Linear Capture feedback, ship with context. → Log customer requests to Linear from any company, person, or deal record in Attio → Highlight text in a call transcript to link the customer voice and meeting to an issue Download now:
0:11

Attio x @Linear Capture feedback, ship with context. → Log customer requests to Linear from any company, person, or deal record in Attio → Highlight text in a call transcript to link the customer voice and meeting to an issue Download now:

Attio

11,551 просмотров • 1 год назад

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.
0:18

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.

Bernard Marr

10,980 просмотров • 1 год назад

In partnership with Airtel Africa, Starlink Direct to Cell will connect more than 170 million people in Africa across 14 countries, powering life-saving connectivity when it’s needed most. This marks the sixth continent for the satellite-to-mobile service and expands our mission to end mobile dead zones. The service will begin by delivering data that enables voice, video and messaging, and will advance to providing high-speed broadband service to smartphones with 20x improved data speeds →
0:15

In partnership with Airtel Africa, Starlink Direct to Cell will connect more than 170 million people in Africa across 14 countries, powering life-saving connectivity when it’s needed most. This marks the sixth continent for the satellite-to-mobile service and expands our mission to end mobile dead zones. The service will begin by delivering data that enables voice, video and messaging, and will advance to providing high-speed broadband service to smartphones with 20x improved data speeds →

Starlink

1,791,051 просмотров • 8 месяцев назад

An interesting issue with Tesla Robotaxi where it took us to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?
0:13

An interesting issue with Tesla Robotaxi where it took us to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?

Joe Tegtmeyer 🚀 🤠🛸😎

80,355 просмотров • 1 год назад

📢 NEW ADOPTION ALERT 📢 We’re excited to welcome @UnmarshalAI to the Vanar ecosystem! 🚀 Unmarshal AI is a leading multi-chain Web3 data network powered by AI, delivering real-time, reliable data across 55+ chains for dApps, DeFi, NFTs, Metaverse, and GameFi solutions. Welcome to the forefront of blockchain intelligence! 🌌
0:18

📢 NEW ADOPTION ALERT 📢 We’re excited to welcome @UnmarshalAI to the Vanar ecosystem! 🚀 Unmarshal AI is a leading multi-chain Web3 data network powered by AI, delivering real-time, reliable data across 55+ chains for dApps, DeFi, NFTs, Metaverse, and GameFi solutions. Welcome to the forefront of blockchain intelligence! 🌌

Vanar

28,515 просмотров • 1 год назад

Over the last few months, our engineering teams have been heads down building a high throughput, low-latency blockchain coupled with an exchange replicable across different data centers. We’ve invested thousands of developer hours designing our data infrastructure stack from scratch. We designed our own streaming indexer to serve data to our frontend in real-time, and shipped optimized memory crates to push our general shared IPC to under 100 nanoseconds. This architecture enables us to colocate our sequencers with the key sources of price discovery across all asset classes: Tokyo for crypto, New Jersey for equities, Chicago for commodities. In turn, institutional market makers colocated with GTE bare metal racks will be able to post orders with minimal roundtrip latency, resulting in the tightest spreads and pristine liquidity. We call this GTE Turbo. By optimizing the entire stack from hardware, to the software, into the networking stack, we will build a world where anyone, anywhere, can trade anything, at anytime. lfGTE
0:10

Over the last few months, our engineering teams have been heads down building a high throughput, low-latency blockchain coupled with an exchange replicable across different data centers. We’ve invested thousands of developer hours designing our data infrastructure stack from scratch. We designed our own streaming indexer to serve data to our frontend in real-time, and shipped optimized memory crates to push our general shared IPC to under 100 nanoseconds. This architecture enables us to colocate our sequencers with the key sources of price discovery across all asset classes: Tokyo for crypto, New Jersey for equities, Chicago for commodities. In turn, institutional market makers colocated with GTE bare metal racks will be able to post orders with minimal roundtrip latency, resulting in the tightest spreads and pristine liquidity. We call this GTE Turbo. By optimizing the entire stack from hardware, to the software, into the networking stack, we will build a world where anyone, anywhere, can trade anything, at anytime. lfGTE

Matteo

141,212 просмотров • 9 месяцев назад