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Unlock the Power of AI: DeepSeek R1 Now Available on Azure and GitHubThe AI landscape is evolving at lightning speed, and DeepSeek R1 is at the forefront of this revolution. Now available on Azure AI Foundry and GitHub, this groundbreaking AI model is set to redefine how developers and businesses approach data search, analysis, and pattern recognition. Whether you’re a seasoned data scientist or just beginning your AI journey, DeepSeek R1 offers powerful new tools to enhance your AI-driven applications. What is DeepSeek R1? DeepSeek R1 is a state-of-the-art AI-powered tool designed to quickly analyze and retrieve valuable insights from vast datasets. Utilizing advanced deep learning techniques, it efficiently recognizes patterns, makes predictions, and uncovers trends that are often hidden in complex data. What sets DeepSeek R1 apart is its ability to perform these tasks in real-time, delivering actionable results faster than traditional methods. For businesses across sectors like healthcare, finance, and marketing, the ability to harness these insights is transformative. Imagine analyzing millions of customer interactions to uncover behavior trends or predicting healthcare outcomes from patient data—all made possible by DeepSeek R1. Available on Azure AI Foundry - With its integration into Azure AI Foundry, DeepSeek R1 becomes more accessible and scalable than ever. Azure’s robust cloud infrastructure enables users to deploy the model with ease, providing the computational power needed to handle even the most demanding AI tasks. Whether you’re a small startup or a large enterprise, you can now scale your AI projects effortlessly without worrying about hardware constraints. Azure’s seamless cloud environment means developers can focus on building innovative solutions rather than managing the complexities of cloud deployment. This integration positions DeepSeek R1 as a powerful tool for businesses looking to incorporate AI into their operations quickly and efficiently. Open Source on GitHub: A Community-Driven Revolution In an exciting move to democratize AI development, DeepSeek R1 is now open source on GitHub. This open-access approach invites the global developer community to explore, modify, and contribute to the project, creating endless possibilities for innovation. The GitHub release comes with detailed documentation, code samples, and tutorials to ensure users of all levels can integrate DeepSeek R1 into their applications. For developers looking to build on the model or make improvements, this open-source release gives them the flexibility to tailor DeepSeek R1 to meet specific needs. Whether you're improving its accuracy, adding new features, or exploring new use cases, DeepSeek R1 empowers the global AI community to take it further. Real-World Use Cases To put DeepSeek R1’s capabilities into perspective, consider its potential applications: - Healthcare : Imagine AI models predicting patient health trends based on historical data, enabling preventative care or early intervention strategies. - Finance : Financial institutions can use DeepSeek R1 to detect fraudulent transactions by recognizing unusual patterns in real-time. - E-commerce : Retailers can enhance the customer experience by analyzing purchasing behavior and personalizing recommendations instantly. These examples only scratch the surface. DeepSeek R1 can be adapted for virtually any industry that relies on big data. Why This Matters for Developers and Businesses For developers, DeepSeek R1 represents a golden opportunity. The open-source release on GitHub allows for customization, experimentation, and community collaboration. Developers can seamlessly integrate it into existing applications, improving everything from predictive analytics to decision-making processes. Moreover, it removes the need to build complex deep learning models from scratch, saving valuable time. For businesses, the ability to leverage DeepSeek R1's AI model on **Azure** provides access to scalable, high-performance AI without significant upfront investment in infrastructure. The enhanced data insights fostered by this tool can lead to smarter, more informed decisions, ultimately driving efficiency, cost savings, and a better user experience. Conclusion: The Future of AI DeepSeek R1’s arrival on Azure AI Foundry and GitHub marks a new era for AI development. By combining the power of deep learning with cloud scalability and open-source flexibility, this tool opens new possibilities for both developers and businesses. Whether you're looking to enhance your data analytics capabilities, build cutting-edge AI applications, or contribute to the evolving AI landscape, DeepSeek R1 offers a path forward. Don’t miss out on exploring DeepSeek R1. Dive into the code on GitHub or get started with Azure to see how this innovative AI tool can elevate your projects. --- #artificialintelligence #Github #Azure

Unlock the Power of AI: DeepSeek R1 Now Available on Azure and GitHub

The AI landscape is evolving at lightning speed, and DeepSeek R1 is at the forefront of this revolution. Now available on Azure AI Foundry and GitHub, this groundbreaking AI model is set to redefine how developers and businesses approach data search, analysis, and pattern recognition. Whether you’re a seasoned data scientist or just beginning your AI journey, DeepSeek R1 offers powerful new tools to enhance your AI-driven applications.

What is DeepSeek R1?

DeepSeek R1 is a state-of-the-art AI-powered tool designed to quickly analyze and retrieve valuable insights from vast datasets. Utilizing advanced deep learning techniques, it efficiently recognizes patterns, makes predictions, and uncovers trends that are often hidden in complex data. What sets DeepSeek R1 apart is its ability to perform these tasks in real-time, delivering actionable results faster than traditional methods.

For businesses across sectors like healthcare, finance, and marketing, the ability to harness these insights is transformative. Imagine analyzing millions of customer interactions to uncover behavior trends or predicting healthcare outcomes from patient data—all made possible by DeepSeek R1.

Available on Azure AI Foundry -

With its integration into Azure AI Foundry, DeepSeek R1 becomes more accessible and scalable than ever. Azure’s robust cloud infrastructure enables users to deploy the model with ease, providing the computational power needed to handle even the most demanding AI tasks. Whether you’re a small startup or a large enterprise, you can now scale your AI projects effortlessly without worrying about hardware constraints.

Azure’s seamless cloud environment means developers can focus on building innovative solutions rather than managing the complexities of cloud deployment. This integration positions DeepSeek R1 as a powerful tool for businesses looking to incorporate AI into their operations quickly and efficiently.

Open Source on GitHub: A Community-Driven Revolution

In an exciting move to democratize AI development, DeepSeek R1 is now open source on GitHub. This open-access approach invites the global developer community to explore, modify, and contribute to the project, creating endless possibilities for innovation.

The GitHub release comes with detailed documentation, code samples, and tutorials to ensure users of all levels can integrate DeepSeek R1 into their applications. For developers looking to build on the model or make improvements, this open-source release gives them the flexibility to tailor DeepSeek R1 to meet specific needs. Whether you're improving its accuracy, adding new features, or exploring new use cases, DeepSeek R1 empowers the global AI community to take it further.

Real-World Use Cases

To put DeepSeek R1’s capabilities into perspective, consider its potential applications:

- Healthcare : Imagine AI models predicting patient health trends based on historical data, enabling preventative care or early intervention strategies.
- Finance : Financial institutions can use DeepSeek R1 to detect fraudulent transactions by recognizing unusual patterns in real-time.
- E-commerce : Retailers can enhance the customer experience by analyzing purchasing behavior and personalizing recommendations instantly.

These examples only scratch the surface. DeepSeek R1 can be adapted for virtually any industry that relies on big data.

Why This Matters for Developers and Businesses

For developers, DeepSeek R1 represents a golden opportunity. The open-source release on GitHub allows for customization, experimentation, and community collaboration. Developers can seamlessly integrate it into existing applications, improving everything from predictive analytics to decision-making processes. Moreover, it removes the need to build complex deep learning models from scratch, saving valuable time.

For businesses, the ability to leverage DeepSeek R1's AI model on **Azure** provides access to scalable, high-performance AI without significant upfront investment in infrastructure. The enhanced data insights fostered by this tool can lead to smarter, more informed decisions, ultimately driving efficiency, cost savings, and a better user experience.

Conclusion: The Future of AI

DeepSeek R1’s arrival on Azure AI Foundry and GitHub marks a new era for AI development. By combining the power of deep learning with cloud scalability and open-source flexibility, this tool opens new possibilities for both developers and businesses. Whether you're looking to enhance your data analytics capabilities, build cutting-edge AI applications, or contribute to the evolving AI landscape, DeepSeek R1 offers a path forward.

Don’t miss out on exploring DeepSeek R1. Dive into the code on GitHub or get started with Azure to see how this innovative AI tool can elevate your projects.

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#artificialintelligence #Github #Azure
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#RepositoryBtcFork Hi community, good morning, I intend to put my repository up for sale, which is part of Bitcoin as a (fork). I share more information in the image, it is part of the conversation with the #Github #repository in sale Hi community, good morning, I intend to put my repository up for sale, which is part of Bitcoin as a (fork). I share more information in the image, it is part of the conversation with the #Github Assistant Do you know any forum where I can do this?
#RepositoryBtcFork
Hi community, good morning, I intend to put my repository up for sale, which is part of Bitcoin as a (fork). I share more information in the image, it is part of the conversation with the #Github
#repository in sale
Hi community, good morning, I intend to put my repository up for sale, which is part of Bitcoin as a (fork). I share more information in the image, it is part of the conversation with the #Github Assistant

Do you know any forum where I can do this?
(#Cryptodiffer ) Top-15 Projects by average daily development activity growth on #github in the last 30 days$PHA $FIO $POLYX $WLD $SAITO $RPL $JUP $XYO $MINA $BZZ $KDA $PNK $GNO $ZIL #1INCH
(#Cryptodiffer )
Top-15 Projects by average daily development activity growth on #github in the last 30 days$PHA $FIO $POLYX $WLD $SAITO $RPL $JUP $XYO $MINA $BZZ $KDA $PNK $GNO $ZIL #1INCH
@Torkelrogstad: Brand new scam technique just dropped: #github bots trying to phish you into downloading #Malware . Within a minute of creating an issue mentioning the words "seed derivation" and "xpriv", a shady-looking link was posted by a bot. Stay vigilant, folks! #phishing #Hacked
@Torkelrogstad: Brand new scam technique just dropped: #github bots trying to phish you into downloading #Malware .

Within a minute of creating an issue mentioning the words "seed derivation" and "xpriv", a shady-looking link was posted by a bot.

Stay vigilant, folks! #phishing #Hacked
🧑‍💻 $BNB #Santiment : Top 20 BSC and Binance Chain coins by development frequency This list is compiled by counting all notable #github activity of each project, and averaging their daily activity over the past 30 days.
🧑‍💻 $BNB #Santiment : Top 20 BSC and Binance Chain coins by development frequency

This list is compiled by counting all notable #github activity of each project, and averaging their daily activity over the past 30 days.
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Bullish
Indian Dev's Ruling The World 🌎 🔥 🚨 Microsoft owned software platform GitHub has 13.2 million Indian developers using the platform, and is expected to overtake the US as the largest developer community by 2027 - Satya Nadella. #Developmentactivity #Microsoft #github
Indian Dev's Ruling The World 🌎 🔥

🚨 Microsoft owned software platform GitHub has 13.2 million Indian developers using the platform, and is expected to overtake the US as the largest developer community by 2027 - Satya Nadella.

#Developmentactivity #Microsoft #github
Gaia Project Ranks Among Top Open-Source Startups in Q3 2024. 🏆🗻 Gaia, a New York-based startup focused on decentralized AI infrastructure, ranked 14th in the top trending open-source projects for Q3 2024. The project saw a 4.8x growth in GitHub stars, reaching 10,000 stars by the end of the quarter, reflecting strong developer interest in its decentralized AI solutions. Founded in New York in 2024 and having raised $10 million from Mirana, EVM Capital, ByteTrade Lab, etc., Gaia is at the forefront of decentralized AI innovation and stands out from competitors like Plandex AI and Composio. Its rapid growth and unique approach to AI infrastructure point to a promising future in the decentralized AI space. The quarterly rankings highlight Gaia's technical innovation, community support, and market potential. #GAIA #Gaianet #OpenSourceAI #Github #RunaCapital
Gaia Project Ranks Among Top Open-Source Startups in Q3 2024. 🏆🗻

Gaia, a New York-based startup focused on decentralized AI infrastructure, ranked 14th in the top trending open-source projects for Q3 2024. The project saw a 4.8x growth in GitHub stars, reaching 10,000 stars by the end of the quarter, reflecting strong developer interest in its decentralized AI solutions.

Founded in New York in 2024 and having raised $10 million from Mirana, EVM Capital, ByteTrade Lab, etc., Gaia is at the forefront of decentralized AI innovation and stands out from competitors like Plandex AI and Composio. Its rapid growth and unique approach to AI infrastructure point to a promising future in the decentralized AI space.

The quarterly rankings highlight Gaia's technical innovation, community support, and market potential.

#GAIA #Gaianet #OpenSourceAI #Github #RunaCapital
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Bearish
The #Ethereum Foundation is currently under investigation by an unnamed state authority, which was hinted at in a #github commit about a month ago. This revelation comes as Ethereum undergoes its largest upgrade, moving to a proof-of-stake (PoS) model, and could have implications for how the cryptocurrency is regulated, particularly in terms of ETFs. #Binance​ #TrendingTopic
The #Ethereum Foundation is currently under investigation by an unnamed state authority, which was hinted at in a #github commit about a month ago.

This revelation comes as Ethereum undergoes its largest upgrade, moving to a proof-of-stake (PoS) model, and could have implications for how the cryptocurrency is regulated, particularly in terms of ETFs.

#Binance​ #TrendingTopic
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Bullish
#StarkNet distributed tokens to nearly 150,000 developers on #github . Some, like @wavey0x , faced issues as their renamed accounts were squatted shortly after. To assist, a script was created to identify 404 profiles with an #airdrop and count suspiciously recently created squatted accounts. Despite rate limitations, 1% were found to be squatted, and some names were still available. The suggestion for future airdrops involving devs is to use GitHub IDs instead of usernames, though addressing past associations poses challenges. Out of 1,854 Starknet airdrop recipients, around half had renamed or deleted their accounts. The author (@banteg on X)assures protection against squatters attempting to steal tokens from genuine developers.
#StarkNet distributed tokens to nearly 150,000 developers on #github . Some, like @wavey0x , faced issues as their renamed accounts were squatted shortly after. To assist, a script was created to identify 404 profiles with an #airdrop and count suspiciously recently created squatted accounts. Despite rate limitations, 1% were found to be squatted, and some names were still available. The suggestion for future airdrops involving devs is to use GitHub IDs instead of usernames, though addressing past associations poses challenges. Out of 1,854 Starknet airdrop recipients, around half had renamed or deleted their accounts. The author (@banteg on X)assures protection against squatters attempting to steal tokens from genuine developers.
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