Ram
@Ramkumartweet
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Janitor @OpenledgerHQ đ #OPNUP
Joined September 2021
Excited for this project being built on OpenLedgerđ Providing a quick TL;DR on the video: OpenLedger is a data blockchain for AI, that covers data, models and attribution. We also leverage datanets to collect data, which are then used in the development of models, agents, chatbots and much more. We've recently launched Epoch 1 of our testnet, which included our Data Intelligence Layer. We use community run nodes to scrape the internet data at scale and curate the data using our models. One of the biggest issues faced by companies right now is to procure and work with web scale data, which is where OpenLedger steps in. In the video, Krishna (Founder, CEO @ Data Bootstrap, Ex- @GoogleDeepMind) tries to scrape a web page with a single machine and explains how inefficient it is. When Krishna switches to OpenLedger's community nodes to scrape the data, the difference is instantaneous. Even with a very limited number of nodes available to him, Krishna is able to scrape multiple pages in parallel in the same time it takes his single machine to scrape one page. Every contribution on the OpenLedger network has an associated transaction on the blockchain, enabling flawless attribution of the contributor and enhancing verifiability. Krishna then shares how even small startups can now compete and scrape the web efficiently at scales previously imaginable only by massive companies. Our aim is to build specialized data networks that empower others to build specialized models, agents and applications with minimal overhead, also enabling collaboration on a massive scale. Watch the video below to find out more!!!!
Krishna Srinivasan, Founder and CEO of Data Bootstrap and former @GoogleDeepMind researcher, discusses the challenges of data scraping and scalability. With experience at prior @Apple, @Yahoo, and @IBMwatsonx, Krishna demonstrates the difference between scraping with a single machine versus leveraging OpenLedger's community nodes. The results speak for themselves, parallelized scraping enables significantly higher efficiency and scale. Data Bootstrap is one of many companies building on our Data Intelligence Layer, and weâre excited to support innovations like these. Watch the video below to learn more.
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RT @CoinGapeMedia: đ DeFi just got smarter with OpenLedgerâs tailored solutions! đ„ Join @Ramkumartweet of @OpenledgerHQ as we explore hoâŠ
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Most AI models today require a dedicated GPU to run efficiently, which makes scaling expensive. But not all models need GPUs capacity especially specialized models that are fine-tuned for specific tasks. OpenLoRA changes the game by allowing thousands of specialized AI models to share a single GPU. Instead of running an entire model separately on its own GPU, we separate the fine-tuned layer (LoRA) and dynamically plug it into a base model only when needed. This makes AI much more cost-effective and scalable, slashing compute costs by heavily This is huge because it means we can deploy domain specific specialised AI models at near-zero cost, making decentralized AI actually feasible. Iâm ambitious that 1000s of specialized models will be built on OpenLedger. Scaling infrastructure for this is a massive challenge and our framework OpenLoRA is a key piece of the puzzle.
Slash AI costs by 99%, run 1000+ models on a single GPU! OpenLoRA lets you run thousands of models on one GPU instead of one per model, drastically cutting costs and boosting flexibility. Excited to work with @AethirCloud, @hyperbolic_labs for infrastructure and @eigenlayer for verifiability. Watch the demo:
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Excited to showcase how specialized models can be trained on OpenLedger using tool calling. This one is an interesting Web3 Alpha model, what I would like to call an agent that is Perplexity for crypto
Excited to share a glimpse of whatâs possible with specialized models on OpenLedgerđ In this video, youâll see a chat agent in actionâthink of it as the Perplexity of crypto. Powered by tool calling, this specialized model showcases how OpenLedger enables domain-specific intelligence for AI-driven apps. Vision of these specialised models is to use english to interact, query, and transact on-chain.đ
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RT @OpenledgerHQ: Why store the whole library when you can just ask the librarian? SLMs > LLMs
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As AI evolves into a fundamental human need, its intelligence shouldnât reside within the reach of just a few. At @OpenledgerHQ , we are democratizing intelligence with specialized models to shape a more equitable and transformative AI future for all Vote for us and vote for every project that believes in this :)
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One of many that can built on Openledger. This video showcases how raw data is transformed into actionable intelligence, powering the next gen AI agents and services. What ties it all together is OpenLedgerâs proof of attribution, which ensures data contributors are rightfully credited for the impact their contributions make on every single inference
Hey Yappers, this is a quick example of how we're going to be using a combination of historical off-chain sentiment data and social cues from social platforms as RAG to perform sentiment analysis and provide early trading signals on tokens. As Yappers, you are some of the most active people on Twitter and your voice matters. Every post you send provides important contextual data to the model. We use proof of attribution to show the influence of each inference from social cues. Our proof of attribution will be verified by @eigenlayer AVS @buildoneigen Yap Early, Yap Often, Yap Proud, Yap Verified
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We have started making some noise đ
interesting to see @_kaitoai yapper launchpad becoming the attention launchpad - whether or not you get to top 3 immediately in the first week, you get - huge visibility across now >300,000 yappers - organic research coverage from across CT - a new vehicle for your loyal supporters to rally around and new supporters to surface for the voters, - while market generally forms around consensus (which is efficient most of the time), some of the most interesting opportunities might be the dark horse of today - remember, every vote is public, no matter if a yapper leaderboard gets launched or not enjoy voting. enjoy yapping
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RT @fdvci: Why I'm Giving My Full Voting Power to @OpenledgerHQ for @_kaitoai's Yapper Launchpad đ
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We are committed to building the largest orchestration of data contributors globally to fuel the creation of specialized models. These models will drive hyper-growth in AI services and agents across all sectors. Leveraging web3 primitives, we are bootstrapping a trustless ecosystem for specialized model development, paving the way for collaboration and open innovation
Eigenlayer AI update âââââââ- Data attribution for AI using @OpenledgerHQ âââââââ- How do we get data contributors for AI models incentivized onchain? @OpenledgerHQ is building some really cool mechanisms to price the contribution of various data providers onchain so data contributors can be valued and paid! The core problem is all data is not made equal. Some data items are simply more reliable, higher quality, rarer etc, so we need a pricing function that actually respects that. By assessing the contribution of each data item in the inference cycle, data providers can be rewarded asymmetrically for quality, rarity and reliability. This protocol gets verifiability for payment attribution from Eigenlayer AVS. Excited for whatâs coming up on @OpenledgerHQ!
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Since 2017, Iâve witnessed the evolution of this industry firsthand. But the real inflection point is nowâwhat lies ahead is unprecedented growth, adoption, and innovation. The Crypto Renaissance has truly begun.
The Crypto Renaissance has officially begun. đ
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Voting SZN is about to kick off, use your eight arms to vote for us đ
Introducing the next stage of Yaps. Our first Kaito Connect release - the Yapper Launchpad! A platform for all of you to decide which Yapper Leaderboards launch next. Put your Yaps, Smart Followers & (soon) onchain holdings to work. All the details đ
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@sreeramkannan @OpenledgerHQ Thanks for shoutout @sreeramkannan đ«Ą Openledgerâs proof of attribution will revolution data contribution and specialised model development. Glad to be working with you guys.
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RT @moshaikhs: The barrier to entry for building with Move is lower than ever across noob levels. Accelerate!
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RT @chainyoda: . @OpenledgerHQ solves a problem in AI that can ONLY be solved with web3... attribution and permission-less incentivisationâŠ
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RT @AveryChing: @OpenledgerHQ Really excited to see models trained on Move modules leading to answering questions on a GPT! CongratulationâŠ
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