🌟 Exciting News! I've been working on something that I think could truly make a difference. It all started with a simple question: What if we could use all the idle computing power around the world to make AI more accessible? This question led to an idea, which has now evolved into a project I'm incredibly passionate about. 🚀 If you're curious to learn more about this journey and the potential of decentralized AI, I’ve shared my thoughts in a Medium article. I’d love to hear your feedback and ideas! Check it out here: https://lnkd.in/eAv2HptX #AI #Decentralization #Innovation #TechCommunity #MachineLearning #ArtificialIntelligence #GlobAI
Muharrem Yurtsever’s Post
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#PR: Evolving Digital Innovation: Qubic’s Journey Toward True AI Qubic embarks on a transformative journey to empower global innovation with the potential of True AI. Embracing its vision, Qubic leverages an expansive computing network to redefine the landscape of artificial intelligence, moving beyond the traditional Proof-of-Work process to introduce a useful-Proof-of-Work (uPoW) concept. https://lnkd.in/dD7MYmBv
Evolving Digital Innovation: Qubic's Journey Toward True AI
https://cryptoadventure.com
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AI and Web3: The Next Generation of the Internet for a Decentralized World - SwissCognitive | AI Ventures, Advisory & Research https://lnkd.in/d85yba9b The combination of AI and Web3 has the potential to offer a number of benefits, including: 1️⃣ Personalized experiences 2️⃣ Efficiency 3️⃣ Security 4️⃣ Democracy #web3 #AI
AI and Web3: The Next Generation of the Internet for a Decentralized World
https://swisscognitive.ch
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🌍 Decentralized AI is shaping the future of tech, breaking free from the control of a few big players. Discover how Data3 Network is leading the way!
Why Decentralized AI Matters? Insights into Data3 Network’s Approach
https://droomdroom.com
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The Power of Retrieval Augmented Generation (#RAG) System in AI Integrating LLMs with External Data Sources Retrieval Augmented Generation (#RAG) is a groundbreaking technique that revolutionizes the capabilities of AI systems by seamlessly integrating large language models (LLMs) with external data sources. Unlike traditional search engines, which rely solely on keyword matching, #RAG combines the generative prowess of LLMs with the precision of specialized data search mechanisms. This integration empowers AI systems to provide nuanced and accurate responses tailored to the user's needs. The implementation of #RAG involves several crucial steps, including data collection, data chunking, document embeddings, handling user queries, and generating responses. By addressing limitations such as lack of specific information and generic responses, #RAG enhances user experience and organizational efficiency. However, implementing #RAG systems comes with its challenges, including integration complexity, scalability issues, and data quality concerns. These challenges can be mitigated through careful design and diligent data curation processes. #RAG represents a significant advancement in natural language processing, enabling AI systems to bridge the gap between information retrieval and language understanding. Its applications span from customer support chatbots to text summarization and personalized recommendations, driving innovation and efficiency in AI-driven solutions. #security #linkedin #energy #fintech #tecnologia #blockchain #marketingdigital #startup #cloud #retail #aviation #engineering #entrepreneur #management #machinelearning #lockdown #automotive #digita #RAG #dataplex
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As AI advances rapidly, its influence on web3 applications is becoming increasingly apparent, reshaping the way we interact with decentralized platforms and services. AI’s potential to enhance user experiences, improve security, and streamline operations in the Web3 space is transforming how we interact with blockchain-based products. This article explores the profound impact of AI on Web3 applications, highlighting its benefits, challenges, and the future of their symbiotic relationship. https://lnkd.in/ekQqjVMG
AI in Web3: Shaping the Decentralized Internet
blog.bitium.agency
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Decentralized AI options are on the horizon and 6079 is at the center of it all. See the article about us in CoinTelegraph to learn more. https://lnkd.in/gcEwNX6P
How a decentralized AI movement is shaping a fairer future
cointelegraph.com
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In a thrilling development from Alibaba Cloud's Qwen team, they have unravelled Qwen2-Math, a new, state-of-the-art series of large language models. Designed to decipher complex mathematical problems, these innovative models navigate the traditional boundaries of artificial intelligence. ✨ Here's why this is pivotal: • Built on the robust Qwen2 foundation, these models have proven their proficiency in solving intricate arithmetic and mathematical challenges, • Surpassing previous industry leaders, Qwen2-Math showcases the potential of AI in dealing with sophisticated mathematical problems, As a specialist in the field, I can affirm that a development like this translates to a whole new era of AI-driven capabilities. The potential applications are countless, ranging from complex data analysis, optimization of logistical problems, to perhaps even accelerating advancements in theoretical mathematics. Given their stellar performance, I predict a significant impact on the broader tech industry and see several implications: 1️⃣ Enhanced AI capabilities: With these models, we're set to witness a surge in AI's problem-solving abilities and its applications across various sectors, 2️⃣ Increase in data accuracy: Qwen2-Math's proficiency in mathematics means we can expect greater accuracy and depth in data analysis, making decision-making more dependable, 3️⃣ A boom in AI development: Considering how Qwen2-Math has outperformed its predecessors, this might stimulate further innovation in the AI space. This discovery stands as a testament to the relentless power of creative ingenuity and reminds us that in the world of AI, the realm of possibilities is indeed boundless. I eagerly await seeing how Qwen2-Math will reshape our interactions with AI - in terms of mathematics and beyond. The Qwen team has crafted a remarkable solution and it's an exciting time to be part of this dynamic AI landscape as it evolves to unbelievable heights. #ArtificialIntelligence #Innovation #AlibabaCloud #Qwen2-Math #AIinMaths
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🌐 #AI Working Together on #Ethereum and Ethereum Swarm! 🤖🔗 There’s a growing divide between supporters of open-source AI and those advocating for closed AI systems. OpenAI emphasizes safety but often keeps its goals under wraps, while Meta champions open-source, arguing that closed systems hinder progress. 🤔💡 As AI continues to integrate into our daily lives, we’ll see a shift from traditional devices to smart glasses equipped with local language models and adaptive agents. These agents will communicate using shared knowledge, including real-time data like the current Ethereum price! 📈👓 https://lnkd.in/eSiPzXUC #ArtificialIntelligence #MachineLearning #DataScience #Innovation #TechTrends #FutureOfAI 🌅🌍
AI Working Together on Ethereum and Ethereum Swarm - The Data Scientist
https://thedatascientist.com
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#VIBE CHECK: Somehow, "management by vibe check" has become part of the #tech #zeitgeist. It may work for some high-flying CEOs, but it doesn't for #GenAI and #AI projects. I am delighted to see industry colleague and previous guest on my #LinkedInLive series, Shreya Shankar, quoted in Matt Asay's #opinion piece in InfoWorld: "'Rather than do the hard, dirty work of #datapreparation, with all the testing and retraining to get a model to yield even remotely useful results, people are jumping straight to dessert, as it were. This, in turn, leads to unrealistic expectations: '#GenerativeAI and #LLMs are a little more interesting in that most people don’t have any form of systematic evaluation before they ship (why would they be forced to, if they didn’t collect a training dataset?), so their expectations are set purely based on vibes,' Shankar says. "Vibes, as it turns out, are not a good data set for successful AI applications. "The real key to machine learning success is something that is mostly missing from #generativeAI: the constant tuning of the model. 'In ML and AI engineering,' Shankar writes, 'teams often expect too high of accuracy or alignment with their expectations from an #AI application right after it’s launched, and often don’t build out the infrastructure to continually inspect data, incorporate new tests, and improve the end-to-end system.' It’s all the work that happens before and after the prompt, in other words, that delivers success. For generative AI applications, partly because of how fast it is to get started, much of this discipline is lost." This is exactly right--that's why #AIgovernance and #auditability are critical to enable #ResponsibleGenAI. #Blockchain model development management is key. https://lnkd.in/gfTJmdau
Your generative AI project is going to fail
infoworld.com
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While the focus in AI development is shifting towards demonstrating concrete business value, many companies still grapple with how to implement AI effectively. Take a look at the strategic approach to consider:
Why 2024 May Be The Year To See ROI On Generative AI
forbes.com
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