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Medium
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Staking DOGS (DOGS): A Guide to Earning Passive Income with XBANKING
- DOGS (DOGS) is a meme token that offers a blend of fun and functionality within the TON ecosystem.
- Staking DOGS tokens on the XBANKING platform provides an attractive 28% APR, allowing token holders to effortlessly grow their holdings.
- The staking process on XBANKING is straightforward, and users can track their staking performance in real-time.
- By staking DOGS, users can earn passive income while supporting the security and decentralization of the TON blockchain network.
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XBANKING (XB) is spearheading a revolutionary shift within the decentralized finance (DeFi)…
- XBANKING (XB) is spearheading a revolutionary shift within the decentralized finance (DeFi) by introducing the concept of stock dividends in a decentralized manner.
- XB leverages blockchain to directly reward its token holders, ensuring faster and more reliable dividends that are free from delays and friction found in traditional financial systems.
- XB operates with transparency and efficiency, recording every action on a public ledger and empowering the community through decentralized governance.
- XB generates passive income for token holders through various sources within the ecosystem, and enables near-instant, low-cost transactions compared to conventional dividend systems.
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A Nation’s Journey, The Story of the us..
- The USA's journey began in the early 17th century with European settlers seeking freedom and fortune.
- Thirteen colonies emerged along the Atlantic coast, developing their own identity and aspirations.
- Frustration grew due to taxation without representation, leading to acts of defiance like the Boston Tea Party.
- In 1776, a group of visionaries declared independence from Britain and the Revolutionary War ensued.
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Medium
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Unlocking the Future of DeFi: Exploring XBANKING (XB) and Its Revolutionary Ecosystem
- XBANKING is a non-custodial DeFi platform that allows users to stake and participate in liquid pools for over 140 tokens across 35+ blockchains.
- The platform offers high APRs, allowing users to generate passive income effortlessly.
- XBANKING introduced restaking, allowing users to re-stake their liquid-staked tokens and earn double rewards.
- The XBANKING ecosystem is one of the largest in DeFi, with real-time tracking of millions of transactions and a total value locked exceeding $1 billion.
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Domain Authority
- Domain Authority is a score ranging from 1 to 100 measuring a website’s ranking potential on SERPs.
- It indicates SEO health and can be improved through good SEO practices, such as quality backlinks and optimized content.
- DA is calculated based on linking root domains, total links, MozRank & MozTrust, and spam score.
- Although it's not a direct ranking factor, DA serves as a comparative benchmark and helps track link-building success.
- Improving your DA requires efforts like building high-quality backlinks, optimizing internal linking, publishing high-quality content regularly, improving technical SEO, managing spam score, being patient and consistent.
- DA follows a logarithmic scale, meaning increasing it from 10 to 20 is easier than raising it from 60 to 70.
- Common misconceptions about DA include that DA directly affects rankings and more links automatically improve DA.
- Other important metrics to consider are Page Authority and organic traffic.
- Regularly auditing your backlinks, avoiding link farms, and linking to reputable sites can boost your DA.
- Improving DA is a long-term effort and can take several months of consistent efforts to see significant changes.
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Medium
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AI-Powered Customer Service: A New Era of Customer Satisfaction
- AI-powered customer service offers 24/7 support through chatbots and virtual assistants, ensuring assistance to customers at all times.
- Quick response times achieved through AI interpretation of customer queries, minimizes wait times and maximizes solutions.
- AI help to identify frequent customer problems to remedy them automatically, improving resolution times and interaction quality.
- AI assists in data analysis to find trends and patterns in customer interactions, driving data-driven decisions and business improvements.
- AI's natural language processing algorithms can accurately interpret customer queries, requests and feedback for enhanced understanding.
- AI provides contextually relevant, sentiment analyzed and personalized responses to complex customer queries.
- The integration of machine learning allows for predictive data analysis to anticipate customer needs and offer advance solutions.
- Automated operations of mundane booking items using AI technology frees up human resources for complex tasks.
- AI enables 24x7 virtual assistance and faster resolution time enhancing overall customer satisfaction.
- Analytics tools driven by AI provide immediate access to customer data to make data-driven decisions leading to better customer service strategies.
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Data Protection Steps for Remote Teams
- With remote work becoming the norm, protecting sensitive data is more critical than ever.
- A Virtual Private Network (VPN) is the first line of defense for protecting your remote team’s data.
- Routine assessments keep you ahead of potential threats by identifying weaknesses before attackers exploit them.
- For remote teams, securing communication is essential to protect sensitive information exchanged daily.
- Strong authentication is vital for confirming the identity of users accessing sensitive systems.
- Encrypting data converts it into a coded format, accessible only by those with the decryption key.
- Constant network monitoring helps identify and address threats swiftly, minimizing potential damage.
- Securing data for remote teams requires a multifaceted approach.
- By implementing these data protection steps for remote teams, businesses can safeguard sensitive information, reduce risks, and enhance productivity.
- Educating your team and prioritizing security within your remote work environment ensures that your teams remain secure, resilient, and productive in the ever-evolving digital landscape.
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Demystifying Algorithms: Brute Force
- Brute force is a direct problem-solving strategy where all possible solutions are explored until the correct one is found.
- It doesn’t rely on advanced heuristics and optimizations and so helps in understanding and solving problems.
- Here are some common brute force problems with Python code, detailed time and space complexity analysis, and optimized patterns:
- 1. String Matching - Time Complexity: O(n * m) and Space Complexity: O(1)
- 2. Finding Duplicates - Time Complexity: O(n²) and Space Complexity: O(1)
- 3. Maximum Subarray Sum - Time Complexity: O(n³) and Space Complexity: O(1)
- 4. Palindrome Check - Time Complexity: O(n³) and Space Complexity: O(1)
- 5. Two Sum Problem - Time Complexity: O(n²) and Space Complexity: O(1)
- 6. Fibonacci Sequence - Time Complexity: O(2ⁿ) and Space Complexity: O(n)
- By identifying patterns like Dynamic Programming, Hashing, and Matrix Exponentiation, performance and scalability can be improved.
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Medium
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AI from the perspective of Google’s global vice president: “It is a powerful tool that can help…
- Artificial intelligence (AI) is seen as a generational technology with enormous potential in various sectors, from agriculture to medicine.
- Google aims to democratize AI by ensuring connectivity and access to technology across different regions.
- Google has been investing in infrastructure and implementing new technologies to bridge the digital divide and include underrepresented communities.
- Google is collaborating with the Peruvian government to promote digital skills and AI education through initiatives like scholarships and grants.
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Medium
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The Prime Minister’s Choice..
- Canada faced a defining second - whether to champion ambitious new rules for internet-zero emissions or take a greater measured approach.
- Trudeau received a message from his mom, urging him to remember his instincts.
- During the cabinet meeting, Trudeau emphasized the need for ambition while ensuring inclusivity.
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Indian AI Models That Made History in 2024
- India is seeing some significant developments in AI with the government supporting initiatives for homegrown AI startups. The unique feature of these AI models in 2024 is the incorporation of cultural relevance and practical applications with local languages, thus empowering Indian businesses. The government recently unveiled BharatGen, which features LLMs for Indic e-commerce and is designed for product images; it is government-funded. NVIDIA's Nemotron-Hindi model has 4 billion parameters and was designed to create AI solutions for regional demands. It can deploy on Nvidia GPU-accelerated systems, optimising performance for various applications.
- Krutrim, developed by Bhavish Aggarwal's Ola Krutrim, is a model that helps to understand and generate text for 22 Indian languages and 10 specific dialects, including Hindi and Marathi. Sarvam AI launched Sarvam-1, an Indian-language optimised model, supports ten major Indian languages and, with 2 billion parameters, offers faster speed. The Surya OCR toolkit, launched by Vik Paruchuri, is a dependable optical character recognition handling various document types and languages, outperforming Google Cloud OCR. Chitralekha is an open-source video transcreation platform that allows users to auto-generate and edit audio transcripts in Indic languages.
- Airavata, introduced by AI4Bharat, is an instruction-tuned LLM for Hindi. At release, it delivered an improved performance on various tasks which include assisting people in learning Hindi. Sutra, created by Two AI founders, Pranav Mistry, and his team, has dual-transformer architecture. It is powering multilingual cost-efficient AI solutions, including South Asian languages like Marathi and Tamil. Devika, an alternative to Cognition Labs' Devin AI, is an open-source AI software engineer developed by Mufeed VH, a 21-year-old developer from Kerala, who utilises advanced AI models such as Claude 3 and GPT-4.
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Medium
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The Single-Environment Paradigm: A Bold Approach to Testing
- By consolidating development, testing, and production into a single environment, we can simplify the development process and reduce the risk of deployment failures.
- Key strategies for implementing this approach include progressive deployment, test-driven development, continuous integration and continuous delivery, and treating production as a development environment.
- Techniques for testing in production include dry run mode, shadow traffic, canary releases, and A/B testing.
- Considerations for adopting a single production environment include being open-minded about production, setting up tools to enable testing in production, and minimizing the effort required for maintaining a separate test environment.
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Medium
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A Complete Roadmap Towards Data Science In 2025
- Data science in 2025 is critical, transforming industries with insights.
- Recommendations engines in platforms like Netflix and Amazon rely on data science.
- Python is the best language for data science due to its simplicity and flexibility.
- Core competencies in Python, machine learning, deep learning, and neural networks are necessary for aspiring data scientists.
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Analyticsindiamag
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The Silent AI Leader Nobody is Talking About
- China’s Baidu recently unveiled AI products for enterprises and consumers alike, designed to tackle hallucinations in image generation and build applications for developers without writing a single line of code.
- iRAG, Baidu’s tool, uses a collection of images from Baidu Search’s extensive database to produce hyper-realistic visuals and reduce production costs.
- Baidu’s tool also enables developers to streamline workflows and execute complex processes without technical expertise.
- Baidu is also reported to be working on Xiaodu AI Glasses, a new device that functions as a versatile AI assistant and is expected to be available by the first half of 2025.
- Reports suggest that China is catching up with the US in AI capabilities by margin of just 6-9 months, with Baidu’s autonomous driving and automotive platform projects making strides in the industry.
- TSMC’s ban on sending AI chips to China is unlikely to hamper China’s AI developments, as reported by recent news on the GPU-giant NVIDIA, which is developing a special AI chip for the Chinese market.
- Baidu’s no-code tool, Miaoda, incorporates multi-tool invocation, which taps into Baidu’s suite of APIs, including mapping and image generation.
- According to Robin Li, Baidu's agents offer more human-like AI capabilities, and will be the new vehicle for content, information and services.
- Li has reportedly attracted the attention of 150,000 businesses and 800,000 developers with Baidu's ERNIE AgentBuilder tool.
- Baidu’s computing power, Baige 4.0, a new version of its AI Heterogeneous Computing Platform, focuses on enhancing cluster stability and efficiency, and was recently introduced by the company.
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Medium
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From Bugs to Brilliance: Top 7 AI Coding Sidekicks You Can’t Ignore in 2024
- In 2024, AI-powered coding assistants are revolutionizing development. Top tools include GitHub Copilot, which integrates with Visual Studio Code to offer advanced code suggestions using OpenAI’s Codex, and Tabnine, leveraging GPT-3 to suggest optimized code.
- Replit helps with real-time coding and debugging, while Kite speeds up code completions for Python and JavaScript. Codota supports Java and TypeScript with code snippets and refactoring, and Intellicode enhances Visual Studio and VS Code with machine learning-based suggestions.
- Lastly, Sourcery is a Python-specific assistant focused on refactoring and improving code quality, making coding more efficient and accessible.
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