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See my main account for my photography, videos, fractal images and more here: www.flickr.com/photos/josh-rokman/
This is one of a series of images I made with the Bing Image Creator, which is an AI image generator powered by DALL-E 3.
For most of these images I tried to combine multiple elements together into one, rather than creating a scene with multiple separate elements. This pushes the limits of what the AI model can do, and maximizes the amount of human control over the images. For example, I might use the text prompt โphoto realistic snake plane made out of carbon fiber and goldโ.
Here is my take on AI generated images vs. human made art: I think that the quality of AI generated images will NOT dramatically improve, even many years into the future. The ultimate goal of a creative image is to create a certain emotional state in the viewer. - Emotions themselves - are the main tool used to do this. A purely logic driven machine can only create a crude, generalized model of something meant to create a certain emotional state. When someone makes a piece of art, it is always some combination of using logic and emotions to guide the process. Remember that the ultimate goal is to create a certain emotional state in the viewer. Only having access to logic, but not emotions, will always create a very generic looking work. You need to actually be able to feel emotions to fine-tune the work beyond that, since creating emotions is the ultimate goal.
The main difference between an AI model and a human is not the difference in the power of the logic that can be deployed. The difference is that a human can feel emotions, which is key to creating an image (or text) made to create a certain emotional state. The logic that the best AI image generator models currently have seems to already be at the level of what the best human can do (based on some of the results I got, which was quite a shock). The results are still crude and generic compared to what a human can do, because the AI models have no access to emotions, which are the main tool for making and refining a creative work designed to create certain emotional states.
All creative work is built with a combination of logic and emotions (emotions should always be the main tool), and by not having direct access to emotions, a machine can only create crude, generic results. When I make music I always try and use emotions rather than logic to guide the process as much as possible, since creating a certain emotional state in the listener is the ultimate goal. The best AI models have an amazing ability to use logic to mix two different styles of images together since that is a logic driven process. They canโt make those images from scratch, since that is an emotion driven process, since it is all about creating certain emotions in the viewer.
Imagine you were a chef trying to develop a new dish, but you were not allowed to taste the food at any point as you made it. Your ability to determine the correct amount of salt and other seasonings would be very crude and limited. There would always be the possibility of a disaster happening, since you could not add a bit of seasoning at a time and taste it, so you would have to just dump it all in at once. This is the same idea of an AI model that is trying to ultimately create emotional states using sophisticated logic, but without having any access to emotions to guide the process.
The results will always be very generic looking, with the occasional unexpected gruesome image being returned. The power of the logic I have seen in some of the images I have created is quite shocking, but the results are still crude and generic compared to what a human can do, since the AI model is trying to create emotional states without being able to actually feel emotions itself, which is vital to creating emotional states through an image (or text).
The AI models have an amazing ability to combine multiple types of images together into one, but they have no understanding of what the individual elements they are combining together truly are. Again, this is because the individual images are designed to create certain emotional states, and an AI model has no ability to feel emotions, meaning it has no ability to understand them.
Having said all that, there is a good chance that the ability of humans to customize AI generated images will keep going up, and this will allow for this tool to create highly creative works close to what a human could do from scratch after all. I donโt think that the AI models will ever be able to do this by themselves with a simple button push though, as I have made the case for above. Also, I would expect that the number of images that are generated with a button push will keep going up and up.
Now, does making good AI generated images take talent? I say the answer is yes simply because these images are not all equal in quality. To create the best image in a set of 1,000 to 100,000,000 images, and to do so consistently, takes skill. You need to learn something from every single image you create about what the AI model does well and does not do well. You also need creative and artistic skills to come up with really good text prompts, in addition to this. The skills involved in this are similar to the skills involved in coming up with a great line in text, like in books, poems, speeches, scripts, ect. This is like abstract art. I know from experience that randomly applying different colors of paint never yields anything impressive. It takes a lot of talent to make good abstract art. Random combinations of words in text prompts will never create the results that highly targeted ones will, when it comes to AI generated images.
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ISO 9001:2015 Quality Management System - Understanding & Implementation
TRAINING ISO 9001 : 2015
ISO 9001:2015 ditetapkan untuk menggantikan standar ISO 9001:2008 yang ada. Ini adalah standar umum yang dapat diterapkan pada semua jenis organisasi, baik di bidang manufaktur maupun industri jasa. Apakah organisasi Anda adalah produsen atau penyedia jasa atau distributor atau sektor pendidikan dan pelatihan, baik industri swasta maupun sektor pemerintahan, baik perusahaan besar maupun industri skala kecil.
Training ISO 9001 : 2015 dirancang untuk memberikan pemahaman yang jelas dan komprehensif tentang semua klausul dalam ISO 9001:2015. Penerapan klausul ISO dalam organisasi, dokumentasi yang diperlukan, dan bagaimana penerapannya dalam organisasi Anda juga akan dibahas
GARIS BESAR PROGRAM TRAINING ISO 9001 : 2015
1.Pengenalan Sistem Manajemen Mutu
2.Perbedaan prinsip Sistem Manajemen Mutu ISO 9001:2008 dengan ISO 9001:2015
3.Perubahan mendasar Sistem Manajemen Mutu ISO 9001:2015
4.Transisi implementasi dan langkah โ langkah dalam menerapkan ISO 9001:2015
MANFAAT TRAINING ISO 9001:2015
1.Tujuan dari sistem manajemen mutu dan standar sistem manajemen mutu ISO 9001 versi 2015.
2.Manfaat bisnis dari peningkatan kinerja sebagai hasil dari sistem manajemen mutu
3.Struktur dan isi ISO 9001 dan hubungannya dengan ISO 9000
4.Persyaratan khusus terkait manajemen mutu ISO 9001
5.Mampu mengidentifikasi persyaratan ISO 9001:2015 dan perbedaan ISO 9001 versi 2008 dan ISO 9001 versi 2015
6.Mampu merumuskan action plan untuk penerapan ISO 9001:2015
7.Mampu melakukan persiapan untuk sertifikasi ISO 9001: 2015
SIAPA YANG PERLU MENGHADIRI PELATIHAN ISO 9001:2015 INI ?
1.Manajer Operasi
2.Management Representative dan tim ISO
3.Organisasi yang sudah menerapkan ISO 9001:2008 / ISO 9001:2015
4.Tim Internal Auditor ISO
5.Siapa saja yang memiliki minat dalam implementasi perubahan ISO 9001:2015
Hubungi kami sekarang
Digimarkom โ Proactive Training Institute
Klik : linktr.ee/Proactive.Institute
Phone atau Whatsapp +62-811 3295 857
e-mail : digimarkom1@gmail.com
e-mail : info@proactive.co.id
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Invoice factoring is developed to resolve the capital problem that are generated when clients pay their invoices in 30 to 60 days. While extending Thirty Days payment terms is common for commercial customers, lots of small and mid-sized business canโt afford to wait that long to be paid. They have a variety of expenses that need instant handling, such as provider payments, payroll and rent. Factoring billings can lower the days impressive on billings substantially, putting your company on a strong financial footing.
The mechanics on invoice factoring service are fairly simple. Once the work or item for an invoice is delivered, you sell the billing to an intermediary company called a factoring business. The factoring business examines the business credit of the company paying the billing (your customer), and if acceptable, buys the billing from you at a small discount. This offers a fast source of funding that can be used to cover functional expenditures and grow the business.
A lot of factoring deals are structured with two payments. The very first payment, called the advance, is for about 80% of the billing amount. The 2nd payment, which is for the 20% reserve (less charges), is rebated once the invoices is actually paid completely.
The greatest benefit of factoring is that itโs simple to obtain. The majority of small and medium sized business can get it Business Management, supplied they have strong clients and no encumbrances on their assets. This makes invoice factoring an ideal solution for companies that can not pay for to wait 30 to 60 days to obtain paid by their customers.
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