Liemur Software

@LiemurLtd

Software development based in the UK with branch in Hungary. Our approach to Human dynamics in business makes us a very different software house. ...Really!

London & Budapest

Joined November 2012

1.4K Following

1.5K Followers

9K Posts

LiemurLtd retweeted

GoWit-Hungary @GowitHungary

over 1 year ago

I’ve attended the Hong Kong Electronics fair this last week-end. The scale of the event was colossal, of course, with almost 2000 participants to present products. There was a huge number of already-seen products like smart scales, power banks, watches, daily products like clippers, smart kitchen bins or massagers, and you could not miss the audio video devices present. The star of the fair was the concept of smart glasses and smart ear pods. Both were supposed to do amazing things, the most important being live translation. To be honest, I would have paid a lot for a Chinese to English live translator. Unfortunately, every time I asked to try the devices, there was a reason not to. The features were not always clear either, for instance, I was told that one pair would display information but when I asked if it would be displayed in the glasses themselves, the answer was fuzzy and it could very well be that the displaying was on your phone. Although it was not for testing, we could have a taste of our not so far future. My favorite products I have seen are: •⁠ ⁠A neck massager that was a real delight, especially after hours of standing in the crowd. It was heating at perfect temperature and doing a very nice job at pressing at the right places. They had the feet massager going with it but I could not try it, people were queuing to try. I did not have the stamina to queue for that. •⁠ ⁠A kitchen smart bin that converts all your organic rubbish into powder, including bones, but also plays the role of a music player and an ambient light. The lady owning the product was very proud of it and very friendly. •⁠ ⁠A crazy cheap party music player that was incredibly light in weight, good in sound and cheap in price. The thing was costing $19.90 with a sound without any distortion, even very loud. Amazing! •⁠ ⁠A special teacup form Hanking that keeps your tea at the perfect temperature. As a tea-guy, this one was very appealing. Maple Mao was proud of her products and rightly so. If you want to be overwhelmed by electronics products, it’s the place to go to!

GowitHungary's tweet photo. I’ve attended the Hong Kong Electronics fair this last week-end. The scale of the event was colossal, of course, with almost 2000 participants to present products.
There was a huge number of already-seen products like smart scales, power banks, watches, daily products like clippers, smart kitchen bins or massagers, and you could not miss the audio video devices present.

The star of the fair was the concept of smart glasses and smart ear pods. Both were supposed to do amazing things, the most important being live translation.
To be honest, I would have paid a lot for a Chinese to English live translator. Unfortunately, every time I asked to try the devices, there was a reason not to. The features were not always clear either, for instance, I was told that one pair would display information but when I asked if it would be displayed in the glasses themselves, the answer was fuzzy and it could very well be that the displaying was on your phone.
Although it was not for testing, we could have a taste of our not so far future.
My favorite products I have seen are:
•⁠ ⁠A neck massager that was a real delight, especially after hours of standing in the crowd. It was heating at perfect temperature and doing a very nice job at pressing at the right places. They had the feet massager going with it but I could not try it, people were queuing to try. I did not have the stamina to queue for that.
•⁠ ⁠A kitchen smart bin that converts all your organic rubbish into powder, including bones, but also plays the role of a music player and an ambient light. The lady owning the product was very proud of it and very friendly.
•⁠ ⁠A crazy cheap party music player that was incredibly light in weight, good in sound and cheap in price. The thing was costing $19.90 with a sound without any distortion, even very loud. Amazing!
•⁠ ⁠A special teacup form Hanking that keeps your tea at the perfect temperature. As a tea-guy, this one was very appealing. Maple Mao was proud of her products and rightly so.

If you want to be overwhelmed by electronics products, it’s the place to go to!

160

LiemurLtd retweeted

GoWit-Hungary @GowitHungary

over 1 year ago

Want to slash costs on your AI project without skimping on results? Enter RAG—Retrieval-Augmented Generation, the clever trick that’s like giving your AI a library card instead of a PhD tuition bill! It’s cheaper and faster. Here’s the deal: training massive AI models from scratch is like building a rocket to the moon—expensive, time-consuming, and overkill if you just need to pop to the corner shop. RAG says, “Hold my coffee.” Instead of retraining a model every time you need new info, RAG grabs relevant data from your existing documents, databases, or knowledge bases and feeds it to the AI to generate spot-on answers. Think of it as a super-smart assistant who knows where to look for answers rather than memorizing the entire encyclopedia. Why does this save you money? * No retraining tax: Updating a model’s knowledge usually means burning cash on compute power and data scientists tweaking parameters (all those w and b we talked about in my Neural Network papers!). RAG sidesteps this by pulling fresh info on the fly. * Leaner infrastructure: You don’t need a monstrous model to store all the world’s knowledge. A smaller model plus a good retrieval system does the job, cutting down on GPU bills (AWS, we still like you but…). * Faster deployment: RAG lets you plug in new data sources without starting from scratch. Got a new product manual or customer FAQ? Toss it in the retrieval system, and your AI’s ready to roll. Picture this: you’re building a customer support AI. Without RAG, you’d train it on every possible question, costing a fortune and still missing edge cases. With RAG, you point it to your support docs, and it pulls the right answers in real-time—accurate, up-to-date, and cheap. It’s like hiring a librarian who’s also a poet, not a team of scholars rewriting the library. Now, is this “intelligence”? Nah, it’s just humans being clever with data and math (as usual). RAG’s genius is in the design—combining retrieval and generation to keep your wallet happy while delivering results that feel like magic. What’s your take? Have you tried RAG in your AI projects, or are you still burning cash the old-fashioned way? Let’s chat in the comments! hashtag#AI hashtag#RAG hashtag#CostSaving hashtag#MachineLearning

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