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Alienware 32 4K QD-OLED Gaming Monitor Review
⏲ 2:32 👁 1.3M
5 Best DELL LAPTOPS 2020
⏲ 7 minutes 45 seconds 👁 2.1K
2020 Razer Blade 15 2 Months Later!
⏲ 13 minutes 45 seconds 👁 106.6K
Elon Musk's xAI Secures $6 Billion in Funding From Major Investors Fidelity, Sequoia Capital, and Andreessen Horowitz
⏲ 0:41 👁 240K
2020 Gateway Ultra Slim Notebook Laptop Model GWTN141-4 Review
⏲ 9 minutes 42 seconds 👁 78K
10 Best HP Laptops 2020
⏲ 5 minutes 19 seconds 👁 529
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Inspiron 15 7000 laptop (2020) Product Overview
⏲ 45 seconds 👁 24.9K
The Best Laptops - 2020 Picks!
⏲ 21 minutes 43 seconds 👁 886.9K
Fashion show
⏲ 9:22 👁 70K
Ancelotti 'a role model for every young coach' - Terzic
⏲ 0:33 👁 65K
Review On The MacBook Air M3 Models
⏲ 3:48 👁 700K
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_alienware-32-4k-qd-oled-gaming-monitor-review.webp "The Alienware 32 4K QD-OLED could be one of 2024’s best gaming monitors. It features a gorgeous 32-inch 4K OLED display that makes games look their best. On top of that, its 240Hz refresh rate and 0.03ms gray-to-gray response time will also help those games run buttery smooth. <br/><br/>In this video, we see what it can do and what it has to offer. Based on what we saw, we think it’ll be a big hit with gamers — especially those who enjoyed 2022’s Alienware 34 QD-OLED monitor. If you’re a PC or console gamer, this is a monitor to keep an eye on.")
_5-best-dell-laptops-2020.webp "7TopRated")
_2020-razer-blade-15-2-months-later.webp "The Everyday Dad")
_elon-musk39s-xai-secures-366-billion-in-funding-from-major-investors-fidelity-sequoia-capital-and-andreessen-horowitz.webp "Elon Musk's AI startup xAI has raised $6 billion in a Series B funding round valuing the company at $24 billion. Major investors in the round include Fidelity, Sequoia Capital, Andreessen Horowitz, Prince Alwaleed Bin Talal, and Kingdom Holding. The company's first major product is an AI assistant called Grok that is available to premium users of Elon Musk's social media platform X. Grok competes with AI models like GPT-4, Claude, and Llama and aims to provide an advanced language model. xAI is central to Elon Musk's turnaround plans for X after facing challenges since acquiring Twitter.")
_2020-gateway-ultra-slim-notebook-laptop-model-gwtn141-4-review.webp "ReviewedByPhil")
_10-best-hp-laptops-2020.webp "Ezvid Wiki")
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \")
_inspiron-15-7000-laptop-2020-product-overview.webp "Dell")
_the-best-laptops-2020-picks.webp "Dave2D")
_fashion-show.webp "This weekend its time to catch up on the latest fashion trends. You've been putting it off all week but finally its the weekend and you have the time to watch these Lingerie Fashion Shows. Here's a shuffle play of the most exciting and interesting lingerie fashion shows on this list. Enjoy!<br/><br/>Do you like music?<br/> SHIFT RADIO... TURN IT ON!<br/>https://shiftswim.com/radio<br/><br/>Tell us who your favorite model is in the comments!<br/><br/>We really want to hear from you.<br/>Love,<br/>David and Yulia<br/><br/>Don't forget to LIKEand SUBSCRIBE !<br/><br/>#shift #bikini #watchparty #swimweek #miamiswimweek #nyswimweek")
_ancelotti-39a-role-model-for-every-young-coach39-terzic.webp "Edin Terzic shared his admiration for Real Madrid boss Carlo Ancelotti ahead of the Champions League final.")
_review-on-the-macbook-air-m3-models.webp "Tom's Guide reviews the 13- and 15-inch MacBook Air laptops with the latest Apple M3 processor.")
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