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SK Tours Of Maine, LLC

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SK Tours Of Maine, LLC - All You Need to Know BEFORE You Go (2024)

Address and Hours

Sk tours of maine.

The best way to contact us is by email: [email protected]

We are newly located at 872 Hammond Street in Bangor!

Our morning tours start at 9:00 a.m. and our afternoon tours start at 2:00 p.m.  At a minimum the tours can last 2.5 hours but depending on the size of the group, the weather, and even traffic or local construction, the tour can go up to 3 hours.

Shop Hours: 

The gift shop is open between noon and 5PM, six days a week. We are closed on Wednesdays.

Feel free to reach out to us if you’d like to try to stop by outside of these hours.  Email is the best way to reach us.

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Your Spiritual Odyssey Begins Here

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We offer a variety of packages to suit your needs, whether you are traveling solo, with family, or in a group. Our packages are designed to make your pilgrimage convenient and spiritually fulfilling.

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+966 55 379 1211

Our Mission

At SK Travel and Tour, our mission is to facilitate a seamless and spiritually enriching Hajj and Umrah experience for Muslims around the world. We understand the deep significance of these pilgrimages and are committed to providing services that honor the traditions and rituals of Islam.

At SK Travel and Tour, our values are rooted in the principles of honesty, integrity, and compassion. We treat every pilgrim as a member of our extended family.

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With years of experience in organizing Hajj and Umrah tours, We've earned a reputation for excellence. Our team who are well-versed in the intricacies of pilgrimage planning, ensuring your journey is meticulously taken care of.

To be the leading provider of spiritually enriching, safe, and hassle-free Hajj and Umrah experiences, fostering a deep sense of connection to Allah and fulfilling the spiritual aspirations.

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A college is hosting a sold-out Taylor Swift masterclass for parents ahead of the star's UK tour

• A UK college is running a crash course on all things Taylor Swift ahead of her UK tour.
• The one-day course is aimed at parents and plus ones of Swifties.
• The college says the course will provide "the full Love Story on all things Eras Tour."

A college in Scotland is running a crash course on all things Taylor Swift ahead of the pop star's UK leg of her Eras Tour .

The one-day course held by Glasgow Clyde College is aimed at parents and plus-ones of Swifties set to attend the singer's three-night stopover in Edinburgh.

The college says the course will provide "the full Love Story on all things Eras Tour to help them have the best night of their lives."

"From set lists and crowd chants to need-to-know information on each Era, the course, which is being delivered by a Taylor Swift expert, will give members of the public a whistle-stop lesson that'll leave them ready for the gig," the college says on its website.

The Eras Tour, which has already become the highest-grossing tour of all time, pays tribute to Swift's first 10 studio albums and the unique styles and staging that accompanied them.

The release of the singer's 11th studio album, "The Tortured Poets Department," in April could mean that the setlist will change from previous legs of the tour, however — but the college seems likely to have that covered.

Glasgow Clyde College assistant principal Robert Anderson told local media outlet The Scotsman : "Taylor mania doesn't seem to be slowing anytime soon, and we expect it'll reach its peak here in Scotland in June. We understand that not everyone will be up to speed on all things Taylor and might not get the full Eras experience," he said.

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"That's why we created this masterclass - to prepare those who'll be heading along to the gig with their superfan kids, friends or partners to ensure they have just as memorable a time," he continued. "Taylor's gigs are known for being so well crafted, and unless you're a fan yourself, you might miss some of the iconic moments."

The course is due to be held on May 7, one month before Swift kicks off her UK tour.

European cities could benefit from Swift's tour

Swift is taking her Eras Tour to 18 European cities this summer , and many are hoping Swifties will splash the cash as they arrive.

The tour has already boosted the US, Singaporean, and Australian economies, with eager fans spending big on things like travel, accommodation, and merchandise.

While the UK and the rest of Europe have yet to feel the full effect of Swift's presence, the price of hotels and short-term rental homes across Scotland have shot up as opportunistic hoteliers and rental hosts have sought to take advantage of increased demand for accommodation.

Around 200,000 people are expected to attend across the star's three performances at Murrayfield Stadium in Edinburgh.

Marc Crothall, chief executive of the Scottish Tourism Alliance, told Business Insider that there would be a "ripple effect" from the shows that will be felt across Scotland.

"We're a small country. It's important that those who are coming from further afield, don't just go straight back to where they came from," he said, adding that they would hopefully go and visit some other parts of Scotland.

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Taylor Pendrith earns beer bath from fellow Canadian PGA Tour pro at Byron Nelson

Pendrith won his first PGA Tour event and to celebrate, one of his best friends and fellow pro showered him with beer.

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Share All sharing options for: Taylor Pendrith earns beer bath from fellow Canadian PGA Tour pro at Byron Nelson

Taylor Pendrith finally won his first PGA Tour event Sunday at the CJ CUP Byron Nelson after 74 professional starts.

As he came down the stretch, his former Kent State teammate and fellow Canadian, Mackenzie Hughes, carried around three beers , ensuring he did not miss the winning moment.

The PGA Tour social team followed him as he dipped under the ropes on the 18th green, waiting for his friend to finish.

Hughes asked CBS Sports reporter Amanda Balionis, “How close is Taylor?”

“It’s a tap-in,” she responded.

Cheers to the champ Former @KentStGolf teammate and fellow Canadian @MacHughesGolf was waiting greenside to deliver a beer shower to @TaylorPendrith . pic.twitter.com/qkTPkkkbfo — PGA TOUR (@PGATOUR) May 6, 2024

Pendrith’s wife approached Hughes, and he said, “I should have brought you one,” as they hugged in celebration.

The Canadian finally acknowledged the camera and said, “He’s going to get a little wet.”

Hughes snuck around trying to surprise Pendrith after he sank the winning putt. As Pendrith celebrated with his wife and son, Hughes snuck up behind him and gave him a Miller Lite shower down his back.

After he doused Pendrith, the camera cuts to his caddie, Hughes, and his wife raising their glasses to his win.

It was a big moment for Pendrith as he became the latest Canadian to win on the PGA Tour. The 32-year-old has not had the strongest year. Pendrith has also fought a shoulder injury , but the last two weeks saw his game trend in the right direction.

He and Hughes partnered at the Zurich Classic of New Orleans last week and tied for 11th. The week before that, he finished T11 at the Corales Puntacana Championship.

Now, Pendrith will play in his first Signature Event of the year, the Wells Fargo Championship at Quail Hallow.

Savannah Leigh Richardson is a golf staff writer for SB Nation’s Playing Through. For more golf coverage, be sure to follow us @_PlayingThrough on all major social platforms. You can also follow her on Twitter @SportsGirlSL and Instagram @savannah_leigh_sports.

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Meta’s new multi-token prediction makes AI models up to 3X faster

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In a recent study , researchers at Meta , Ecole des Ponts ParisTech and Université Paris-Saclay suggest improving the accuracy and speed of AI large language models (LLMs) by making them predict multiple tokens simultaneously.

This goes against the classic structure of auto-regressive language models, which have been designed to predict one token at a time.

While multi-token prediction is not a universal solution for every type of model and language task, it provides substantial benefits in some areas, with triple speeds and better performance on generative tasks.

While it has plenty of room for improvement, the technique could become a powerful tool for some LLM applications.

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Limits of next-token prediction

The classic way to train LLMs is known as “next-token prediction,” a self-supervised learning technique where the model is given a sequence of tokens and must predict the next one.

It then adds the predicted token to the input and repeats the process, one token at a time. By doing this over and over on large corpora of text, the model learns general patterns that allow it to output coherent passages of text.

Researchers have studied and documented the limitations of next-token prediction in acquiring language, world knowledge and reasoning capabilities .

For example, by just focusing on one token, the model becomes too sensitive to local patterns and overlooks predictions that require reasoning over longer horizons. Models trained on next-token prediction also require huge amounts of data to reach levels of fluency that humans acquire with much less text.

The new study by Meta is predicated on the hypothesis that “training language models to predict multiple future tokens at once results in higher sample efficiency.”

Multi-token prediction

Multi-token prediction instructs the LLM to predict several future tokens from each position in the training corpora at the same time. The researchers propose a simple multi-token prediction architecture that does not require extra training time or memory overhead.

The multi-token prediction language model is based on the Transformer architecture used in most LLMs, although with some modifications. The model uses the main structure of the Transformer though instead of a single output, it has multiple independent output heads, one for each token it wants to predict.

Transformer architecture with multi-token prediction

During inference, the model uses the basic next-token prediction scheme for each of the prediction heads and uses the additional output heads to speed up the decoding process. The model takes advantage of several similar works in the field.

“While cost-free and simple, multi-token prediction is an effective modification to train stronger and faster transformer models,” the researchers write.

Multi-token prediction in action

The researchers tested the new multi-token prediction scheme on a variety of tasks with models of 300 million to 13 billion parameters. 

Their findings include several interesting observations. For example, on smaller models, multi-token prediction results in worse results, but it becomes increasingly useful as the model size increases. For example, when trained for 4-token prediction, models with 6.7 billion and 13 billion parameters had several percentage points improvement over the baseline single-token prediction on the MBPP coding benchmark. “It is possible, with the exact same computational budget, to squeeze much more performance out of large language models given a fixed dataset using multi-token prediction,” the researchers write.

Multi-token prediction also makes models up to three times faster at inference time across a wide range of batch sizes, according to the researchers. “Pretraining with multi-token prediction allows the additional heads to be much more accurate than a simple finetuning of a next-token prediction model, thus allowing our models to unlock self-speculative decoding’s full potential,” the researchers write. 

The study also shows that multi-token prediction promotes learning longer-term patterns, especially in experiments where the model is trained on “byte-level tokenization,” where every byte is considered a single token. In these experiments, multi-byte prediction outperforms the baseline single-byte prediction models by a wide margin.

This is especially important for applications where there is no predefined vocabulary and the model must learn to work with very small chunks of information.

Multi-token prediction still has room for improvement. For example, the optimal number of tokens to predict depends on the kind of task and model size. The scientists are considering multiple future directions of research, including techniques to automatically choose the optimal number of tokens to predict and studying the dynamics between vocabulary sizes and multi-token predictions.

What might make this research and its future iterations useful for enterprise applications is the potential to provide faster inference and higher accuracy at little or no extra cost for generative tasks such as code completion. Since it also leaves most of the LLM architecture intact, it can be compatible with other optimization techniques for the Transformer block.

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Nvidia supplier SK Hynix says HBM chips almost sold out for 2025

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US crypto super PACs have raised more than $100 million, report says

Outside political groups tied to the cryptocurrency industry have raised more than $102 million to spend on the upcoming U.S. congressional elections in order to elevate candidates who are friendly to digital assets, according to a report from Public Citizen.

Synopsys will sell its software integrity (SIG) unit to a private equity consortium led by Clearlake Capital and Francisco Partners in a deal valued at $2.1 billion, the chip designer said on Monday.

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WEATHER ALERT

7 warnings and 3 advisories in effect for 16 regions in the area

Photos: mayor whitmire, police chief finner take aerial tour of kingwood flooding.

Michael Horton , Digital Content Producer , Houston, TX

As flood waters continue to swell throughout neighborhoods in Kingwood, Houston Mayor John Whitmire and Police Chief Troy Finner traveled by helicopter to get a first-hand view of the situation Saturday afternoon.

“Houston residents benefit when all levels of government work together,” Mayor Whitmire said in a statement. “Together, we will get through these challenges. Let’s go to work!”

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In the statement, the Mayor’s Office said that the purpose of the helicopter tour was to give Houston’s elected leaders a greater perspective of the damage in Kingwood and the potential resources the community will need in the coming days.

“Mayor Whitmire is staying in touch with residents and first responders through every means possible. Furthermore, he is using his contacts to speak to Governor Abbott and Lt Governor Patrick and has had a great response from the Texas Division of Emergency Management,” an excerpt from the statement read.

• RELATED: ‘The water is coming this way’: Mayor Whitmire visits Kingwood ahead of ‘peak’ flooding as concerns pour in
• MORE ON KINGWOOD FLOODING: ‘Expect to see flooding yet again’: Kingwood apartment complex warns residents of Harvey-like conditions

Here are some additional images captured by the helicopter:

• LIST: Avoid these high water locations as major floods expect to worsen
• LIVE RADAR: Flooding across Houston, northern counties
• What’s the difference between voluntary and mandatory evacuations?
• Harris County leaders urge remaining residents to heed calls for mandatory evacuation near San Jacinto river
• ‘Help yourself and get out’: Caney Creek Fire helps rescue neighbors, news crew caught in floodwater

Copyright 2024 by KPRC Click2Houston - All rights reserved.

About the Author

Michael horton.

Michael is a Kingwood native who loves shooting hoops, visiting local breweries and overreacting to Houston sports. He joined the KPRC family in the spring of 2024. He earned his B.A. from Texas A&M University in 2022 and his M.A. from the University of Wisconsin-Madison in 2023.