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- Written by: Frode Meek
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I added "Vision" to my "OpenAiApps". It's interesting, and you can use it for a lot. Analysis, info, comparisons...my app is very simple and I have not made any "follow-ups". I.e. you cannot follow-up with any questions, but below are some examples of usage.
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- Written by: Frode Meek
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So I tested GPT-4o by creating a script in Python. I haven't used Python that much; almost none at all, but my thought was that OpenAi likes(it's very proficient) in python, and I wanted it to be able to run it on most platforms. In my case Windows and Linux.
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- Written by: Frode Meek
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5 months.
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- Written by: Frode Meek
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I've tried out OpenAI's Whisper. That is: I made an interface using C# and WPF. Like all the articles I've written about OpenAI it's the same mechanism here as the other ones. My interface looks like all the other interfaces.
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- Written by: Frode Meek
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I've already written a little about what my WPF-application looks like. But I'm going to finish off here since I did some changes to it. By the way: A good reason to write your own is that if you use the "the playground", it will cost you. There are limits I found out, after testing it. You have a certain amount of credits that runs out really fast if you're "messing around". If you run an application using their API, it will cost you less. From what I experienced yesterday.
The DALL-E API can be divided into three parts:
- Image generation, based on prompt. Generates an image based on your prompt. Options: number of images and size
- Image variations, based on uploaded image. Creates variations of the image that you choose. Options: number of images and size
- Image edit, based on prompt, original image, and image mask. Options: mask. (Not sure how this works without a mask)
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- Written by: Frode Meek
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Like I've mentioned earlier AI is developing fast at the moment. So I'm going to just go straight at the heart of GPT3.5-turbo model. I feel that all writing about something "embeddings", "edits" or whatever is "a passe". I think most of the models that openAI mention are unnecessary. With the model GPT3.5-turbo you don't need all the other models, and I've heard that GPT4 is even better.
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In this article I'll talk about "completions". Well; my experience using the "text-davinci-003" - model. That's what almost all of this is about. It's just that some models are built for certain purposes.
(1) Completions
There is no point in me trying to explain how this works(that's not for me), but in short the model tries to respond to your queries in human-readable language. Your query can be anything. Like when I started this "new" site (https://blog.meek.wf), I thought I'd think of other terms describing a blog. My query is straight forward: "30 synonyms of 'blog'":
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So my first article, in my Joomla 4-surroundings, is about OpenAi and the use of the models given out by openai.com. This is a big topic and I thought I'd split it up into several articles/topics. This is not a scientific article in any way. It's just meant as "notes" or "my experience" in a straight forward language. It's like I said in "tomprat.meek.wf": it's my doodle-pages. My "paste"; remembrance-page< clipboard
As a start, I would say that what openai.com has come up with is certainly fun and interesting, and if used properly; useful. I was intrigued from the beginning when I logged in to their site and created an account. The first thing I did was to create a simple application called "Simple OpenAI example based on GPT3, text completions". It's written in C# - WPF, using Visual Studio, and does some basic stuff using their REST-API. There are other libraries written in different languages out there (and C#), but I wanted to start from the beginning and learn a little bit more than just write queries in a text-box. The name of the application is somewhat not true since I've expanded the functionality to more specialized functions as mentioned below.