Raymond is an experienced developer evangelist and advocate. He focuses on APIs, AI, the web platform, and enterprise cat demos.
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The last two sessions of my live stream, Code Break, have been really interesting, at least to me anyway. I've been discussing generative AI with Google Gemini and building a relatively simple example while doing so - a resume review and revisement system. This started off pretty simply with a Python script and then iterated into a proper Flask app. I thought it would be fun to document the code here a bit and share it with those who couldn't make the streams. If you would rather just watch the recordings, I've got them embedded at the bottom. Feel free to skip to that.
development generative ai python
Earlier this year, no, wait, last year (time is kinda crazy), I wrote up the process of automating background removal using Adobe's Firefly Services. This post described a Pipedream workflow that monitored a Dropbox folder and...
development python cloudinary
Greetings, programs! This is just a quick reminder that my installment of <Code><Br>
will be tomorrow, February 4th, at 12PM CST. You can find details and RSVP below:
development generative ai misc
I've been waiting for this to launch for a few days now, and while technically this isn't quite yet available in Gemini, only Vertex, it should be testable in Gemini in the very short term. You can now use Google's APIs to generate really high quality images via their Imagen 3 technology. I've got a few blog posts planned that will demonstrate these features (and from what I've been told, even more powerful stuff is coming), but I thought I'd start off today with a simple short example.
development generative ai python
Ok, before I begin, let me be absolutely clear. I do not think AI can replace customer support. I do think it can supplement and help customer support however, and I'd like to share an example of what this could look like. Imagine your service has a customer service form or email address. Typically, you type in your question, send it off, and wait. But what if you could provide an AI generated answer immediately while the person waits? At worse it doesn't help. At best, it could be exactly what they need and the request could be terminated saving everyone time. Let's consider an example of this.
development generative ai python pinecone
Last week I took a look at Cloudinary GenAI transformations to demonstrate quickly creating different versions of media, including multiple sizes and text copy. While taking a look at other parts of the Cloudinary docs I discovered that they had not one, but four different ways to enhance images. These include:
development cloudinary
Greetings, programs. I'm writing this from the deep, deep south where my kids were all off school this week because of... snow. I kid you not. On Tuesday we got around ten inches of snow, more than the area's ever seen in recorded history I believe. I grew up in Saint Louis so I've seen snow before, but in the nearly twenty-five years I've been here there's never been anything like it.
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