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OPN

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Innovative Education With a Global Perspective #Aİ #Binance The online Master’s in Applied Artificial Intelligence degree delivers the expertise you need to apply, evaluate, and contribute to the development of AI techniques. The program can be completed in just two years and no previous AI tech experience is required for admission. As a student, you’ll learn online from faculty with real AI tech experience in a virtual classroom designed to fit your personal schedule. Additionally, the program offers electives which focus on in-demand topics. Customize your education and choose from Business and E-Commerce, Healthcare, or Digital Humanities and take the next step in your career with Lebanese American University#trainding #OPN
Innovative Education With a Global Perspective
#Aİ #Binance
The online Master’s in Applied Artificial Intelligence degree delivers the expertise you need to apply, evaluate, and contribute to the development of AI techniques. The program can be completed in just two years and no previous AI tech experience is required for admission. As a student, you’ll learn online from faculty with real AI tech experience in a virtual classroom designed to fit your personal schedule. Additionally, the program offers electives which focus on in-demand topics. Customize your education and choose from Business and E-Commerce, Healthcare, or Digital Humanities and take the next step in your career with Lebanese American University#trainding #OPN
70 Ai apps available! 🥳 The team is working hard behind the scenes and has succeeded in building over 70 AI apps with the #Openfabricai protocol. Soon, individuals will have the ability to create, utilize, and monetize #AI applications. #BinanceSquareTalks #OPN $BTC
70 Ai apps available! 🥳

The team is working hard behind the scenes and has succeeded in building over 70 AI apps with the #Openfabricai protocol.

Soon, individuals will have the ability to create, utilize, and monetize #AI applications. #BinanceSquareTalks #OPN $BTC
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Let me briefly talk about what was said in the community a few days ago. With the rise of HBAR, the RWA sector will start slightly. ONDO breaking 1 US dollar and OM breaking the previous high also confirm this trend. 1. The linkage between the RWA sector and the Defi ecosystem The rise of HBAR has driven the performance of the RWA sector, indicating that the market demand for the combination of RWA and on-chain assets is expanding. The performance of targets such as ONDO and OM confirms this trend. As traditional financial giants gradually get involved in the RWA field, RWA will become a bridge between real assets and on-chain finance, which will also promote the recovery of Defi. RWA and Defi infrastructure are ecosystems that can empower and strengthen each other. With the rise of RWA, the infrastructure of the Defi sector will definitely recover. In the later stage, all public chains will rise for RWA and engage in a fierce competition. This is an undoubted thing. 2. BlackRock project layout American tokens ARB, OP, POL, APT, As the core projects of Layer 2, the performance and scalability of ARB and OP have been verified. As an old project, POL has deep accumulation in cross-chain ecology and Layer 2. Brothers who hold Ethereum should feel more at ease. Most of the projects of traditional giants are located on Ethereum. For giants, it is definitely a normal thing to promote RWA standardization and bring funds into the market. Institutions such as BlackRock are located in Ethereum. Ethereum is still the king of public chains. This is an undoubted thing. $ETH $OP $HBAR #ETH🔥🔥🔥🔥 #OPN # {future}(ARBUSDT) {future}(OPUSDT) {future}(ETHUSDT)
Let me briefly talk about what was said in the community a few days ago. With the rise of HBAR, the RWA sector will start slightly. ONDO breaking 1 US dollar and OM breaking the previous high also confirm this trend.

1. The linkage between the RWA sector and the Defi ecosystem

The rise of HBAR has driven the performance of the RWA sector, indicating that the market demand for the combination of RWA and on-chain assets is expanding. The performance of targets such as ONDO and OM confirms this trend.

As traditional financial giants gradually get involved in the RWA field, RWA will become a bridge between real assets and on-chain finance, which will also promote the recovery of Defi. RWA and Defi infrastructure are ecosystems that can empower and strengthen each other.

With the rise of RWA, the infrastructure of the Defi sector will definitely recover. In the later stage, all public chains will rise for RWA and engage in a fierce competition. This is an undoubted thing.

2. BlackRock project layout American tokens ARB, OP, POL, APT,

As the core projects of Layer 2, the performance and scalability of ARB and OP have been verified. As an old project, POL has deep accumulation in cross-chain ecology and Layer 2.

Brothers who hold Ethereum should feel more at ease. Most of the projects of traditional giants are located on Ethereum. For giants, it is definitely a normal thing to promote RWA standardization and bring funds into the market. Institutions such as BlackRock are located in Ethereum. Ethereum is still the king of public chains. This is an undoubted thing.

$ETH $OP $HBAR #ETH🔥🔥🔥🔥 #OPN #
#Openfabric is an ecosystem which harnesses the power of blockchain, distributed ontologies, advanced cryptography, and a trusted execution environment by developing a novel infrastructure that is capable of supporting the authentic #AI revolution.#ShareYourTrade #OPN Find more info on #OpenfabricAI
#Openfabric is an ecosystem which harnesses the power of blockchain, distributed ontologies, advanced cryptography, and a trusted execution environment by developing a novel infrastructure that is capable of supporting the authentic #AI revolution.#ShareYourTrade #OPN

Find more info on #OpenfabricAI
In the world of artificial intelligence (AI) and large language models (LLMs), finding appropriate training data is the core requirement for building generative solutions. As the capabilities of Generative AI models like Chat GPT, DALL-E continues to grow, there is an increasing temptation to use their AI-generated outputs as training data for new AI systems. However, recent research has shown the dangerous effects of doing this, leading to a phenomenon called “model collapse.” In a study published in July 2023, scientists at Rice and Stanford University concluded that training AI models exclusively on the outputs of generative AI is not a good idea. They titled their report: “Self-consuming generative models go MAD.”#Binance #Aİ #tranding #OPN
In the world of artificial intelligence (AI) and large language models (LLMs), finding appropriate training data is the core requirement for building generative solutions. As the capabilities of Generative AI models like Chat GPT, DALL-E continues to grow, there is an increasing temptation to use their AI-generated outputs as training data for new AI systems. However, recent research has shown the dangerous effects of doing this, leading to a phenomenon called “model collapse.” In a study published in July 2023, scientists at Rice and Stanford University concluded that training AI models exclusively on the outputs of generative AI is not a good idea. They titled their report: “Self-consuming generative models go MAD.”#Binance #Aİ #tranding #OPN
As the capabilities of Generative AI models like Chat GPT, DALL-E continues to grow, there is an increasing temptation to use their AI-generated outputs as training data for new AI systems. However, recent research has shown the dangerous effects of doing this, leading to a phenomenon called “model collapse.” In a study published in July 2023, scientists at Rice and Stanford University concluded that training AI models exclusively on the outputs of generative AI is not a good idea. They titled their report: “Self-consuming generative models go MAD.”#Binance #Aİ #tranding #OPN
As the capabilities of Generative AI models like Chat GPT, DALL-E continues to grow, there is an increasing temptation to use their AI-generated outputs as training data for new AI systems. However, recent research has shown the dangerous effects of doing this, leading to a phenomenon called “model collapse.” In a study published in July 2023, scientists at Rice and Stanford University concluded that training AI models exclusively on the outputs of generative AI is not a good idea. They titled their report: “Self-consuming generative models go MAD.”#Binance #Aİ #tranding #OPN
Apple will integrate centralized #AI into IOS 18. This will not only expose your private data, but will also make AI closer to your device than yourself! Elon Musk is against this because he knows the dangerous repercussion of Centralized AI. Not only that, he also knows the numerous benefits that comes with Decentralized AI. #Openfabricai is here to make AI #DecentralizedTrading for everyone, even you🫵 #OPN
Apple will integrate centralized #AI into IOS 18.

This will not only expose your private data, but will also make AI closer to your device than yourself!

Elon Musk is against this because he knows the dangerous repercussion of Centralized AI.

Not only that, he also knows the numerous benefits that comes with Decentralized AI.

#Openfabricai is here to make AI #DecentralizedTrading for everyone, even you🫵
#OPN
The possibility of #AI models tainting themselves may be a bit analogous to a certain 20th-century dilemma. After the first atomic bombs were detonated at World War II’s end, decades of nuclear testing spiced Earth’s atmosphere with a dash of radioactive fallout. When that air entered newly-made steel, it brought elevated radiation with it. For particularly radiation-sensitive steel applications, such as Geiger counter consoles, that fallout poses an obvious problem: it won’t do for a Geiger counter to flag itself. Thus, a rush began for a dwindling supply of low-radiation metal. Scavengers scoured old shipwrecks to extract scraps of prewar steel. Now some insiders believe a similar cycle is set to repeat in generative AI—with #training data instead of steel.#Binance #OPN
The possibility of #AI models tainting themselves may be a bit analogous to a certain 20th-century dilemma. After the first atomic bombs were detonated at World War II’s end, decades of nuclear testing spiced Earth’s atmosphere with a dash of radioactive fallout. When that air entered newly-made steel, it brought elevated radiation with it. For particularly radiation-sensitive steel applications, such as Geiger counter consoles, that fallout poses an obvious problem: it won’t do for a Geiger counter to flag itself. Thus, a rush began for a dwindling supply of low-radiation metal. Scavengers scoured old shipwrecks to extract scraps of prewar steel. Now some insiders believe a similar cycle is set to repeat in generative AI—with #training data instead of steel.#Binance #OPN
#Openfabric algorithm composition! This feature opens up new possibilities for creating more innovative solutions that combine the functionalities of numerous available #AI #OpenfabricAI #OPN $AI
#Openfabric algorithm composition!

This feature opens up new possibilities for creating more innovative solutions that combine the functionalities of numerous available #AI #OpenfabricAI #OPN $AI
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