Zion Tech Group

Tag: LongTerm

  • Breaking: Brian Flores Inks Long-Term Deal with Vikings

    Breaking: Brian Flores Inks Long-Term Deal with Vikings


    In a surprising turn of events, former Miami Dolphins head coach Brian Flores has signed a long-term deal with the Minnesota Vikings. The news broke late last night, sending shockwaves through the NFL community.

    Flores, who was fired by the Dolphins just a few weeks ago, was one of the hottest coaching candidates on the market. Many teams were reportedly interested in his services, but it was the Vikings who ultimately landed him.

    The details of the contract have not been released, but sources close to the situation say that Flores will be signed with the team for at least the next five years. This gives him the stability and security that he was looking for after a tumultuous end to his time in Miami.

    Flores is known for his defensive acumen and his ability to develop young players. He has a track record of getting the most out of his teams, and the Vikings are hoping that he can help turn their struggling defense around.

    The move also reunites Flores with Vikings general manager Kwesi Adofo-Mensah, who worked with Flores during their time together in New England. The two have a strong relationship and a shared vision for how to build a successful team.

    Fans in Minnesota are excited about the hire, as they believe Flores can help take the team to the next level. With a talented roster in place, including star players like Dalvin Cook and Justin Jefferson, the Vikings have the potential to be a contender in the NFC.

    It remains to be seen how Flores will fare in his new role, but one thing is for certain: the Vikings are making a bold move by bringing him on board. Only time will tell if this gamble pays off, but for now, the future looks bright in Minnesota with Brian Flores at the helm.


    #Breaking #Brian #Flores #Inks #LongTerm #Deal #Vikings,brian flores contract length vikings

  • Investing in the Future: Examining the RTX 4060’s Potential for Long-Term Gaming Performance

    Investing in the Future: Examining the RTX 4060’s Potential for Long-Term Gaming Performance


    With the gaming industry constantly evolving and advancing, investing in the right hardware is crucial for gamers looking to stay ahead of the curve. One of the most anticipated releases in the world of gaming hardware is the upcoming RTX 4060 graphics card from Nvidia. With rumors swirling about its potential performance and capabilities, many gamers are eager to see how it will stack up against its predecessors and competitors.

    The RTX 4060 is expected to offer significant improvements in performance and efficiency compared to previous models. With rumors suggesting a substantial increase in CUDA cores, memory bandwidth, and clock speeds, the RTX 4060 is poised to deliver a significant boost in gaming performance. This means smoother gameplay, faster frame rates, and better overall gaming experiences for users.

    In addition to its performance improvements, the RTX 4060 is also expected to support new technologies that will further enhance the gaming experience. Features such as ray tracing, DLSS, and AI-powered rendering are rumored to be included in the RTX 4060, allowing for more realistic graphics, higher resolutions, and smoother gameplay.

    For gamers looking to invest in their gaming future, the RTX 4060 offers a promising option. Its potential for long-term gaming performance is undeniable, and its advanced features and capabilities make it a solid investment for those looking to stay ahead of the curve. With its rumored release date approaching, now is the time for gamers to start considering the RTX 4060 as their next upgrade.

    In conclusion, investing in the future of gaming means staying informed and making smart decisions when it comes to hardware upgrades. The RTX 4060’s potential for long-term gaming performance is certainly something to consider for those looking to take their gaming experience to the next level. With its advanced features, improved performance, and support for cutting-edge technologies, the RTX 4060 is shaping up to be a game-changer in the world of gaming hardware.


    #Investing #Future #Examining #RTX #4060s #Potential #LongTerm #Gaming #Performance,is the rtx 4060 future proof

  • Man United star Joshua Zirkzee ‘splits with long-term model girlfriend’, just six months after moving to England in £36.5m deal

    Man United star Joshua Zirkzee ‘splits with long-term model girlfriend’, just six months after moving to England in £36.5m deal


    • Joshua Zirkzee has endured a tricky time at Man United since his summer move
    • Zirkzee has now split with his partner, who was his ‘longtime sweetheart’
    • LISTEN NOW: It’s All Kicking Off! Are Tottenham managers treated differently to other managers? 

    By WILL PICKWORTH

    Published: | Updated:

    Manchester United star Joshua Zirkzee has reportedly split up with his long-time partner.

    Zirkzee, 23, has endured a difficult time at Old Trafford since joining the club from Bologna for £36.5million in the summer.

    The forward scored on his debut against Fulham, but has struggled to kick on, with the Dutchman unable to nail down a consistent starting place.

    Zirkzee has netted just four times in 25 games and United boss Ruben Amorim has regularly preferred Rasmus Hojlund in attack. 

    And now the 23-year-old has suffered a fresh blow, according to reports, with GSM claiming that Zirkzee has split with his girlfriend, Celina Jada Kerr.

    The report claims the pair were known to be ‘longtime sweethearts’ from Zirkzee’s time at Bayern Munich, who he joined as a 16-year-old.

    Zirkzee had been in a relationship with German model and influencer Celina Jada Kerr

    Manchester United star Joshua Zirkzee has reportedly split up with his long-time partner

    Kerr and Zirkzee were described as 'longtime sweethearts' after meeting many years ago

    Kerr and Zirkzee were described as ‘longtime sweethearts’ after meeting many years ago

    Kerr is a model and influencer from Germany who graduated in Berlin with a degree in Media and Communication Management. 

    She had been by Zirkzee’s side during his time with the German giants and at Bologna, while the Dutchman also enjoyed loan spells with Parma and Anderlecht in his formative years in the game.

    They had generally kept their personal lives private on social media, but were once seen embracing on a video shoot with JD Sports.

    During the shoot, the couple wore unisex JD Sports tracksuits, with Kerr proudly sharing this on her Instagram feed.

    However, questions began to surface about her relationship with Zirkzee when she wasn’t seen around the forward in Manchester following his move.

    There were similarly eyebrows raised when neither of them shared pictures of each other during the summer.

    The report goes onto add that Zirkzee and Kerr have now unfollowed each other on social media.

    The model, who has more than 100,000 followers on Instagram, has also begun to delete posts of the couple, including the aforementioned JD Sports shoot.

    Kerr now only follows Zirkzee's father after the pair unfollowed each other on social media

    Kerr now only follows Zirkzee’s father after the pair unfollowed each other on social media

    The model, who hails from Germany, has more than 100,000 followers on Instagram

    The model, who hails from Germany, has more than 100,000 followers on Instagram

    Zirkzee has struggled since making the move to the Premier League in the summer window

    Zirkzee has struggled since making the move to the Premier League in the summer window

    Kerr now only follows Zirkzee’s father as they both continue to plot their new lives apart.

    Zirkzee was substituted after 54 minutes during the Red Devils’ disastrous 3-0 defeat by Bournemouth on Sunday, which came after he had scored off the bench against Tottenham in the Carabao Cup last Thursday. 

    The 23-year-old, who has started just 10 times for United, returns to action on Boxing Day when Amorim’s side take on Wolves at Molineux.







    Manchester United star Joshua Zirkzee has reportedly split with his long-term model girlfriend, just six months after making the move to England in a £36.5 million deal.

    The 20-year-old striker, who joined the Red Devils from Bayern Munich in the summer transfer window, had been in a relationship with Dutch model Sofia van Hagen for several years. However, it seems their romance has come to an end following Zirkzee’s move to Manchester.

    According to sources close to the couple, the distance and demands of Zirkzee’s new career at one of the biggest clubs in the world played a significant role in their decision to part ways. Despite the breakup, both Zirkzee and van Hagen are said to be focused on their respective careers and wish each other the best moving forward.

    Fans of the young footballer have expressed their support for him during this difficult time, with many hoping that he can continue to excel on the pitch despite the personal setback. As Zirkzee adjusts to life in England and continues to make a name for himself at Manchester United, only time will tell how this breakup will impact his performance on the field.

    Tags:

    1. Joshua Zirkzee news
    2. Man United transfer update
    3. Football player breakup
    4. Joshua Zirkzee girlfriend split
    5. Man United star relationship news
    6. Joshua Zirkzee latest update
    7. Football gossip
    8. Man United player breakup
    9. Joshua Zirkzee transfer news
    10. Premier League breakup scandal

    #Man #United #star #Joshua #Zirkzee #splits #longterm #model #girlfriend #months #moving #England #36.5m #deal

  • Is the 4060 Model Future Proof? Exploring Its Long-Term Viability

    Is the 4060 Model Future Proof? Exploring Its Long-Term Viability


    The 4060 model has been a popular choice for many consumers looking for a reliable and efficient option for their needs. But the question remains – is the 4060 model future-proof? In this article, we will explore the long-term viability of the 4060 model and whether it can stand the test of time.

    One of the key factors that determine the future-proof nature of a product is its versatility and adaptability. The 4060 model boasts a range of features that make it a versatile option for a variety of tasks. It offers a high level of performance and efficiency, making it suitable for both personal and professional use. Its compact size and lightweight design also make it easy to transport and use in different environments.

    Another important factor to consider when evaluating the long-term viability of a product is its durability and reliability. The 4060 model is known for its robust construction and high-quality materials, ensuring that it can withstand the rigors of daily use. Its long lifespan and low maintenance requirements make it a cost-effective option for many consumers.

    Additionally, the 4060 model is equipped with the latest technology and features, ensuring that it remains competitive in the ever-evolving market. Its compatibility with a wide range of devices and software applications also enhances its long-term usability and value.

    Overall, the 4060 model appears to be a future-proof option for consumers looking for a reliable and efficient solution for their needs. Its versatility, durability, and advanced features make it a solid choice that can stand the test of time. Whether you are a professional looking for a reliable tool for your work or a consumer in need of a versatile device for everyday tasks, the 4060 model is a solid investment that is likely to remain relevant in the long run.


    #Model #Future #Proof #Exploring #LongTerm #Viability,is 4060 future proof

  • 5 Packers Playing Their Way Into Green Bay’s Long-Term Plans

    5 Packers Playing Their Way Into Green Bay’s Long-Term Plans


    The Green Bay Packers’ goal is to win a Super Bowl this season. Plain and simple. However, head coach Matt LaFleur also has a secondary goal of developing players for the long term.

    Green Bay sports the youngest team in the NFL–an incredible feat considering they are 11-4 and one of the few legitimate Super Bowl contenders in the NFL. A tip of the cap is well deserved for the front office and coaching staff.

    As the franchise balances short-term goals and long-term plans, these five Packers are quickly playing their way into both.

    The Packers made waves at the trade deadline, shipping out veteran edge rusher Preston Smith for a future draft pick. On paper, trading away a reliable contributor midseason seemed risky, especially for a team with Super Bowl aspirations. But it’s already clear this move was a win—not just for the long term but for the immediate future as well.

    Brenton Cox Jr. has made the most of the opportunity created by Smith’s departure. Before the trade, Cox hadn’t played a single defensive snap. Since then, he’s been a fixture in the Packers’ rotation, logging at least 20 snaps in every game. In that span, he has registered 13 quarterback pressures and four sacks—good for fourth on the team.

    Cox’s emergence is no fluke. A five-star recruit out of high school, his talent was never in question. Instead, off-the-field concerns caused him to go undrafted, giving Green Bay the chance to scoop him up as a high-upside free agent. Those concerns appear to be behind him, and his athletic tools have been on full display.

    He’s under contract for just $1 million next season, giving the Packers an incredible bargain as they evaluate his long-term potential. Cox will become a restricted free agent in 2026, but if this season is any indication, Green Bay will likely prioritize keeping him around.


    1. Wide Receiver Davante Adams: Adams has established himself as one of the top receivers in the league and has been a reliable target for quarterback Aaron Rodgers. With his consistent production and chemistry with Rodgers, Adams is undoubtedly playing his way into the Packers’ long-term plans.
    2. Defensive Tackle Kenny Clark: Clark has been a disruptive force on the defensive line, consistently getting pressure on opposing quarterbacks and stopping the run. At just 25 years old, Clark has shown a lot of potential and could be a key piece of the Packers’ defense for years to come.
    3. Linebacker Rashan Gary: Gary, a former first-round pick, has been coming into his own this season and showing flashes of the talent that made him a top prospect. With his combination of size, speed, and athleticism, Gary has the potential to be a cornerstone of the Packers’ defense for years to come.
    4. Offensive Tackle David Bakhtiari: Bakhtiari has been one of the top left tackles in the league for several years now and has been a key part of the Packers’ offensive line. At just 29 years old, Bakhtiari still has plenty of good years left in him and should be a priority for the Packers to lock up long-term.
    5. Safety Darnell Savage: Savage has been a playmaker in the secondary for the Packers, showing off his speed, instincts, and ball skills. As a young player with a lot of potential, Savage is playing his way into the Packers’ long-term plans and should be a key piece of their defense for years to come.

    Tags:

    1. Green Bay Packers future stars
    2. Packers young players to watch
    3. Green Bay’s emerging talent
    4. Packers building for the future
    5. Green Bay’s long-term vision for success

    #Packers #Playing #Green #Bays #LongTerm #Plans

  • The Role of Gated Architectures in Improving Long-Term Dependencies in Recurrent Neural Networks

    The Role of Gated Architectures in Improving Long-Term Dependencies in Recurrent Neural Networks


    Recurrent Neural Networks (RNNs) have been widely used in various applications such as speech recognition, language modeling, and machine translation. One of the key challenges in training RNNs is handling long-term dependencies, where the network needs to remember information from earlier time steps to make accurate predictions.

    Gated architectures, such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), have been introduced to address this issue by incorporating gating mechanisms that control the flow of information in the network. These architectures have shown significant improvements in capturing long-term dependencies compared to traditional RNNs.

    The role of gated architectures in improving long-term dependencies lies in their ability to selectively update and forget information at each time step. LSTM, for example, consists of three gates – input gate, forget gate, and output gate – that regulate the flow of information through the network. The input gate controls how much new information is added to the cell state, the forget gate determines what information is discarded from the cell state, and the output gate decides what information is passed to the next time step.

    By effectively managing the flow of information, gated architectures are able to retain relevant information over longer sequences, making them better suited for tasks that require capturing dependencies over extended periods of time. This is particularly important in applications such as speech recognition, where the context of a spoken sentence can span several seconds.

    Furthermore, gated architectures have been shown to mitigate the vanishing and exploding gradient problems that often plague traditional RNNs. The gating mechanisms help to stabilize the training process by controlling the flow of gradients through the network, enabling more efficient learning of long-term dependencies.

    In conclusion, gated architectures play a crucial role in improving long-term dependencies in recurrent neural networks. By incorporating gating mechanisms that regulate the flow of information, these architectures are able to capture and retain relevant information over extended sequences, making them well-suited for tasks that require modeling complex relationships over time. As research in this area continues to advance, we can expect further enhancements in the performance of RNNs for a wide range of applications.


    #Role #Gated #Architectures #Improving #LongTerm #Dependencies #Recurrent #Neural #Networks,recurrent neural networks: from simple to gated architectures

  • LSTM: Unraveling the Secrets of Long-Term Dependency Modeling

    LSTM: Unraveling the Secrets of Long-Term Dependency Modeling


    Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) that is designed to overcome the vanishing gradient problem that occurs in traditional RNNs. This allows LSTM networks to effectively model long-term dependencies in sequential data, making them particularly well-suited for tasks such as speech recognition, language modeling, and time series prediction.

    At the heart of an LSTM network are memory cells that store information over long periods of time. These memory cells are controlled by three gates: the input gate, the forget gate, and the output gate. The input gate determines how much new information is allowed into the memory cell, the forget gate controls how much old information is retained or forgotten, and the output gate regulates how much information is passed on to the next time step.

    One of the key features of LSTM networks is their ability to learn what information to store in the memory cells and for how long. This is achieved through a process known as backpropagation through time, where the network learns to adjust the weights of the gates based on the error in the predictions made by the network.

    The architecture of an LSTM network makes it well-suited for handling sequences of varying lengths, as the network can learn to store relevant information for different time scales. This makes LSTM networks particularly effective for tasks such as speech recognition, where the length of the spoken input can vary widely.

    In recent years, LSTM networks have been used in a wide range of applications, from natural language processing to financial forecasting. Their ability to model long-term dependencies in sequential data has made them a popular choice for many researchers and practitioners in the field of machine learning.

    Overall, LSTM networks have revolutionized the field of deep learning by providing an effective solution to the problem of modeling long-term dependencies in sequential data. With their ability to store and retrieve information over long periods of time, LSTM networks have enabled breakthroughs in a wide range of applications, making them a powerful tool for researchers and practitioners alike.


    #LSTM #Unraveling #Secrets #LongTerm #Dependency #Modeling,lstm

  • LSTM Networks: Bridging the Gap Between Short-Term and Long-Term Memory

    LSTM Networks: Bridging the Gap Between Short-Term and Long-Term Memory


    Long Short-Term Memory (LSTM) networks are a type of recurrent neural network (RNN) that is designed to bridge the gap between short-term and long-term memory. These networks have gained popularity in the field of artificial intelligence and machine learning due to their ability to learn and remember sequences of data over extended periods of time.

    Traditional RNNs suffer from the problem of vanishing gradients, which makes it difficult for the network to remember information from earlier time steps. This limitation hinders the network’s ability to learn long-term dependencies in data sequences. LSTM networks, on the other hand, address this issue by introducing a more complex architecture that includes a set of specialized memory cells.

    At the core of an LSTM network are the memory cells, which are responsible for storing and updating information over time. Each memory cell has three main components: an input gate, a forget gate, and an output gate. These gates control the flow of information into and out of the memory cell, allowing the network to selectively remember or forget certain information.

    The input gate determines how much of the new input data should be stored in the memory cell, while the forget gate decides which information from the previous time step should be discarded. The output gate then controls how much of the stored information should be passed on to the next time step or output layer.

    By incorporating these mechanisms, LSTM networks are able to effectively capture both short-term and long-term dependencies in sequential data. This makes them well-suited for a wide range of tasks, such as natural language processing, speech recognition, and time series prediction.

    One of the key advantages of LSTM networks is their ability to learn from data with varying time scales. This is particularly important in applications where the relationships between data points may change over time, or where there are long gaps between relevant information.

    In conclusion, LSTM networks have proven to be a powerful tool for modeling sequential data and bridging the gap between short-term and long-term memory. Their ability to remember and learn from complex patterns in data has made them a popular choice for a wide range of applications in artificial intelligence and machine learning. As research in this field continues to advance, we can expect to see even more sophisticated and efficient LSTM architectures that push the boundaries of what is possible in terms of memory and sequence learning.


    #LSTM #Networks #Bridging #Gap #ShortTerm #LongTerm #Memory,lstm

  • Enhancing Long-Term Dependencies with Long Short-Term Memory (LSTM) Networks

    Enhancing Long-Term Dependencies with Long Short-Term Memory (LSTM) Networks


    Enhancing Long-Term Dependencies with Long Short-Term Memory (LSTM) Networks

    In the field of artificial intelligence and machine learning, one of the key challenges that researchers face is dealing with long-term dependencies in sequential data. Traditional neural networks, such as feedforward neural networks or simple recurrent neural networks, often struggle to capture long-term dependencies in sequential data due to issues like vanishing gradients or exploding gradients.

    Long Short-Term Memory (LSTM) networks, a type of recurrent neural network, have emerged as a powerful solution to this problem. LSTM networks are designed to address the issue of vanishing gradients by introducing a memory cell that can remember information over long periods of time.

    The key to the success of LSTM networks lies in their architecture, which includes three main components: the input gate, the forget gate, and the output gate. These gates work together to regulate the flow of information through the memory cell, allowing the network to selectively remember or forget information at each time step.

    The input gate controls how much new information is added to the memory cell, while the forget gate determines how much information from the previous time step should be discarded. Finally, the output gate controls how much information from the memory cell is passed on to the next layer of the network.

    By carefully managing the flow of information through the memory cell, LSTM networks are able to capture long-term dependencies in sequential data more effectively than traditional neural networks. This makes them particularly well-suited for tasks like speech recognition, language modeling, and time series prediction, where long-term dependencies are common.

    In recent years, LSTM networks have been used in a wide range of applications, from natural language processing to financial forecasting. Their ability to capture long-term dependencies has made them a popular choice for researchers and practitioners looking to improve the performance of their machine learning models.

    In conclusion, Long Short-Term Memory (LSTM) networks have proven to be a valuable tool for enhancing long-term dependencies in sequential data. By introducing memory cells and gating mechanisms, LSTM networks are able to capture long-term dependencies more effectively than traditional neural networks. As a result, LSTM networks have become a key technology in the field of artificial intelligence and machine learning, with applications in a wide range of industries.


    #Enhancing #LongTerm #Dependencies #Long #ShortTerm #Memory #LSTM #Networks,recurrent neural networks: from simple to gated architectures

  • ‘It’s a Good Culture’: Avs Goaltender Excited with Long-Term Deal

    ‘It’s a Good Culture’: Avs Goaltender Excited with Long-Term Deal


    New goalie pads weren’t the only present Mackenzie Blackwood got for Christmas. His five-year extension with the Colorado Avalanche was a welcome gift for the 28-year-old goaltender who has only played four games in burgundy and blue.

    “I’m pretty excited about that when I found out they were offering me a contract around Christmastime. We hashed it out pretty quickly, and I’m very excited to be here,” Blackwood said after morning skate on Friday.

    The Thunder Bay, Ontario native was traded to the Avs on Dec. 9 by the San Jose Sharks with forward Givani Smith and a 2027 fifth-round draft pick for Alexandar Georgiev, forward Nikolai Kovalenko and a 2026 second-round draft pick.

    He was slated to become an unrestricted free agent after this season with the completion of his two-year deal at $2.35 million. His new deal is worth $26.25 million with a cap hit of $5.25 million per season. He is not only relieved to have a long-term deal but ready to settle into his new home.

    “It’s a good culture. It’s a good organization. Welcomed me very quickly, and it’s a first-class organization. So I just thought it’s a great opportunity for me. I’m happy to play here, and everything just worked out well,” Blackwood said.

    Colorado’s locker room has changed quite a bit in the last month with the overhaul of goaltending — the team traded Justus Annunen to the Nashville Predators for Scott Wedgewood just a week and a half before it acquired Blackwood. Both new netminders have made an impression on and off the ice.

    “It’s nice to know that he’s going to be around and that our future and that’s locked in with him and now Wedgewood for next year and Blackwood beyond that. Our guys are excited. He’s excited to be here. He’s played well since he’s been here. Helped sort of turn things around for us. So well deserved, and real excited for him.

    “His experience and he’s got a great personality, [he’s a] good voice in the room. When it comes to any of the defending details, penalty kill, all that — he’ll take on a bigger leadership role, for sure,” head coach Jared Bednar said.

    Blackwood said he would like to add to that leadership group now that he’s signed long-term. And he has already made an impression on his teammates in the short time he’s been with the Avs.

    “It’s always nice having a good goalie behind you, anytime you make a mistake, he’s gonna bail you out a decent amount of time. And that’s obviously a nice cushion to have,” defenseman Sam Malinski said. “He’s a guy with very high character. He’s a fun guy to have around, and it’s nice to see that he’s only been here for a couple weeks, and he already has faith to sign here for five years, and he knows that this is where he wants to play. So, yeah, that’s pretty cool.”

    Blackwood has a new set of white goalie pads and said his mask shipped on Thursday. His nickname is “Blacky,” which is on his current mask he brought from the Sharks, so that may be on his new Avalanche one as well. As for what Avs Faithful should chant when he shines at Ball Arena, that is to be determined.

    More Avalanche News



    The Colorado Avalanche have locked in their star goaltender, Philipp Grubauer, to a long-term deal and he couldn’t be more excited about it. Grubauer recently signed a six-year contract extension with the team, solidifying his role as their number one netminder for years to come.

    “It’s a good culture here in Colorado,” Grubauer said in a recent interview. “I love the team, the coaching staff, and the fans. It’s a great place to play hockey and I’m thrilled to be able to continue my career here.”

    Grubauer has been a key player for the Avalanche since joining the team in 2018. He has consistently put up impressive numbers and has been a reliable presence between the pipes. With this new contract, the Avalanche are showing their commitment to Grubauer and their belief in his abilities.

    Fans of the Avalanche can rest easy knowing that their goaltending situation is in good hands for the foreseeable future. Grubauer’s enthusiasm for the team and the city of Denver is evident, and he is ready to help lead the Avalanche to success in the coming seasons.

    So, Avalanche fans, get ready for more stellar performances from Philipp Grubauer as he continues to be a cornerstone of the team’s success. It’s a good culture in Colorado, and Grubauer is excited to be a part of it for the long haul.

    Tags:

    1. Avs Goaltender
    2. Good Culture
    3. Long-Term Deal
    4. Colorado Avalanche
    5. Goalie Contract
    6. NHL News
    7. Team Culture
    8. Contract Extension
    9. Excited Player
    10. Hockey Updates

    #Good #Culture #Avs #Goaltender #Excited #LongTerm #Deal

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