lama travel solutions

Lama Travel Solutions

Travel agency in Siliguri

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Joined Tripcrafters in July, 2015

23 trips booked through Tripcrafters

Status: Currently Active

Tripcrafters Rating

9 Ratings & 5 Reviews

Google Rating

Based on 27 Reviews

About Lama Travel Solutions

Bhanu Bhakta Sarani, Gurung Busty, Siliguri, 734003, India

Destinations covered by Lama Travel Solutions

Bhutan , Sikkim , West Bengal

Services Offered by Lama Travel Solutions

Hotels, Car Rental, Sightseeing Tour, Trekking

Rating Distribution for Lama Travel Solutions

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Reviews for Lama Travel Solutions

Balamurugan (Bengaluru, India)

Trip to Darjeeling, Gangtok

Great Experience

(Written on 11 Jan, 2024)

NITIN PARMAR (Vadodara, India)

Trip to Sikkim

SUMMER VACATION WITH FAMILY IN SIKKIM

(Written on 30 Jun, 2017)

Mahesh (India)

Trip to Darjeeling, Sikkim

Sikkim Darjeeling Tour

(Written on 11 Jun, 2017)

TAPAN MUKHERJI (Indore, India)

Trip to Bhutan

Feedback For Lama Travel Solutions

(Written on 06 Jun, 2017)

Samridhi (Noida, India)

left stranded in Bhutan

(Written on 06 May, 2017)

(08 May, 2017)

Thank you for your valuable feedback, we tried our best to sort out the situation, their was a issue regarding the online permit for Bhutan as it was just started and few rules which we were also not aware of for which we refunded you for the inconvenience and also offered you for 2 Nights Stay in Darjeeling, Thank you for the reference to your friend we still believe you have hope on us. Regards Kumar Lama

Google Reviews for Lama Travel Solutions

(Written 3 weeks ago)

Varun Saxena

(Written 5 months ago)

Songsational Moumita

(Written 2 years ago)

Sanghamitra Mohanty

(Written 4 years ago)

Abhishek Pradhan

(Written 5 years ago)

rashmi allay

Dibakar ghosh

ravi sunwar

Animesh Mandal

(Written 7 years ago)

Lama Travel Solutions is listed in

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Lama Travel Solutions

20 Trips Sold

Bhanu Bhakta Sarani, Gurung Busty, P.O.Pradhan Nagar, Siliguri, West Bengal, India, 734003

80.00 % Reviews

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What people say, ravi , vizag.

Sikkim - Gangtok - Darjeeling

Jan 07, 2020

Ajit Singh Kumar , New Delhi

Dec 14, 2019

Dvan Smith , USA

Dec 04, 2019

Bhavin , Ahmedabad

Dec 02, 2019

Arjun Singh , Bihar

Feb 24, 2018

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• Gurung Basti, Siliguri, West Bengal, 734003
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Kalimpong , gangtok , pelling , darjeeling, gangtok , lachen , lachung , chopta valley, gangtok , darjeeling, gangtok , pelling , darjeeling, kalimpong , gangtok , lachen , lachung , pelling , darjeeling, gangtok , lachung , pelling , darjeeling, gangtok , lachen , lachung , pelling , darjeeling.

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You can make a booking online by filling out the enquiry form , or start the process by requesting a call . Alternatively you can call Llama Travel directly on 020 7263 3000.

For most of our holidays, a 10% deposit is required on booking, with the balance payable within 90 days of departure. For some holidays, a higher deposit may be required.

You can pay your deposit by bank transfer, cheque, standard UK debit card or non-premium UK personal Visa / MasterCard credit card . Balance payments can be made by bank transfer or cheque. We do not accept cards for balance payments. We are unable to accept cash.

When your booking is confirmed, you will receive an invoice, along with a copy of your itinerary and a country-specific information pack.

There are some important considerations to take into account before you book a holiday with Llama Travel:

Most of our holidays are suitable for all ages but do require a reasonable level of fitness . Some excursions include walking, often on uneven ground, and often at altitude, which increases the challenge even on a relatively short walk. If you are unsure about fitness levels, please ask us.

Vaccinations are advisable for certain regions , particularly Yellow Fever and Malaria. Please consult your GP or travel clinic on this subject.

Please ask us for specific country entry requirements for British citizens. For any other nationalities, please consult the appropriate consulates.

When booking, you will need a full 10 year passport valid for 6 months after your return to the UK . If flying via the US, you will need to comply with US immigration requirements.

If children aren’t travelling with both parents, some countries require a letter of consent to enter or depart. For visiting some African countries, all children require extensive documentation, including unabridged birth certificates. More information can be found on the relevant consulate website.

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Open-source AI is booming, but OpenAI’s GPT-4 is still the big winner with corporate customers—for now

A year ago, a San Francisco gathering many called the “ Woodstock of AI ” brought together 5,000 devotees of “open-source” AI models—that is, where the underlying code, and sometimes the model weights and training methods, are publicly available for researchers and developers to build on. 

The event, hosted by open source AI hub Hugging Face and featuring live llamas (in a nod to Meta’s Llama model) kicked off an open-source AI boom that hasn’t let up since. The landscape now includes unicorn startups such as Mistral and Together AI, and boasts a constant barrage of new open-source AI models that are getting ever closer to beating OpenAI’s flagship GPT-4 at various performance benchmarks. Just over the past couple of weeks, there were open-source LLM releases from top companies like Databricks, Cerebras, AI21, and Cohere. 

However, a recent survey by venture capital firm a16z found that for large companies adopting generative AI, OpenAI’s closed, proprietary models remain the most popular by far—particularly for use cases actually put into production. But it also showed signs of change: Six months ago, for instance, most organizations were experimenting with just one model—mostly from OpenAI—and most stuck to common use cases in areas like marketing, coding, and customer support. But in 2024, they are opening up to experimenting with more AI model options—that are often open-source. 

More organizations are experimenting with open-source models

Sarah Wang, an a16z general partner who coauthored the survey, said OpenAI’s biggest advantage up until now has been that of first mover. In addition, it has been tough to push off its top perch, she explained, because for most of the past year, GPT-4 has also been considered the best model available, as well as easy to access directly through an API or via Microsoft Azure. 

“I think it was the easiest to plug and play and to say, ‘This model is the best; let’s just see what use cases come out of it,’” she noted. The survey put the 2023 market share of closed-source models at an estimated 80% to 90%, with the majority of share going to OpenAI. No updated market share was provided for this year, but 46% of respondents mentioned that they prefer or strongly prefer open-source models.

“Every single enterprise said they were testing more than one model family,” said Wang, and pointed out that two of the top six model families in terms of use were open-source—Llama and Mistral. “So certainly it’s still early, but I think it is maybe a leading indicator for usage down the road,” she said. 

OpenAI has touted ‘tremendous growth’ in enterprise offering

Perhaps with its eye in the rearview mirror and its foot on the gas, OpenAI, led by CEO Sam Altman, appears to be working hard to solidify its lead with corporate customers. It published a new blog post last week that announced new features for its “self-serve fine-tuning API”—which allows for some customizing—and shared case studies of companies like SK Telecom that have customized and fine-tuned OpenAI models. The post also trumpeted an expanded “assisted fine-tuning offering” for companies to “collaborate with OpenAI technical teams to leverage techniques beyond the fine-tuning API.”  

In addition, OpenAI COO Brad Lightcap touted “tremendous growth” in the corporate version of ChatGPT in a Bloomberg interview on Friday—claiming there are now more than 600,000 people signed up to use ChatGPT Enterprise, up from around 150,000 in January, and calling 2024 “the year of adoption for AI in the enterprise.”

Still, according to Kjell Carlsson, head of AI strategy at Domino Data Lab and a former Forrester analyst, the market for generative AI models is fracturing based on enterprise use cases. 

“OpenAI has a dominant position, thanks to its head start, but even more so, its relationship with Microsoft and their powerful sales teams,” he said, referring to OpenAI’s partnership with Microsoft, including its offering OpenAI models through its cloud arm, Azure. But he added that companies are primarily using OpenAI’s models for generic use cases like ad hoc user queries or customer service chatbots. When companies are looking to create differentiated generative AI applications and instances—like a biotech business doing AI-powered drug discovery—and want to protect their data because of regulatory or security concerns, they are often turning to other vendors and open-source models.

“I have yet to speak with a company that says they use OpenAI’s models because of any inherent technological advantages they have today,” he said. 

Cost, control, and customization

While cost has often been cited as a reason to turn to open-source—for example, Meta’s Llama 2 has been shown to be 10 to 20 times as cheap as OpenAI’s GPT-4 for generating 1 million tokens—Wang said that respondents widely cited other reasons for wanting to adopt AI models. Those reasons include control (security of proprietary data and understanding why models produce certain outputs) and customization (ability to effectively fine-tune for a given use case). 

“The fact that you can self-host a model fine-tuned on your own data with an open-source model was very attractive to a lot of the enterprises,” she said.

Ali Ghodsi, CEO of data and AI platform Databricks (which recently released a powerful new open-source large language model called DBRX), agreed with that assessment, calling the wholesale move to open-source AI in 2024 an “underreported trend.” He added that enterprises want to customize AI models on their specific data and tasks and, as a result, own the intellectual property. 

“I think that’s going to continue regardless if there are really smart models that come out by the proprietary vendors,” he said. “Enterprises want to be competitive in their market. They want to have their own recipes.” 

The potential impact of GPT-5

Of course, none of the current predictions about corporate adoption of generative AI take into account the release of OpenAI’s next large language model, the highly anticipated GPT-5, which Wang says will arrive very soon. However, she pointed out that in conversations with enterprise companies, the cost of switching models is very low—so it’s likely that organizations will continue experimenting with a mix of closed and open-source models.

“They can swap out models pretty easily in the backend,” she said, so there isn’t the same vendor lock-in issue companies might face with something like a database business. In addition, the landscape is getting a lot more crowded with new entrants, so people are open to testing.

That said, GPT-5 could come out and “blow everyone away,” Wang admitted, leading OpenAI to maintain their market share. “It could throw everything off. It’s hard to predict.”

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