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Weve developed our software such that the LLM open source or proprietary can be swapped in or out via configuration. An abundance of choice In the most general definition, open source here refers to the code thats available, and that the model can be modified and used for free in a variety of contexts.
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Theres a lot of chatter in the media that software developers will soon lose their jobs to AI. They were succeeded by programmers writing machine instructions as binary code to be input one bit at a time by flipping switches on the front of a computer. No code became a buzzword. I dont buy it. It is not the end of programming.
And if you’ve added “AI” to your pitch deck only to make it more appealing, here’s some more bad news: FOMO is passé, and duediligence is the new black. Specifically, we are spending time developing our theses around and seeking founders building the next generation of cloud/computing infrastructure, industry 4.0
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People showed up with some of the things they run into, and often, it took us a few minutes to help them out and unblock them on their technical challenges. The option to see how the same prompt would result in results si de by si de using different mo de ls is very helpful when you are trying to integrate AI into your own software.
Here, you might leverage online sourcing platforms like HackerEarth, attend industry events, or partner with universities. This could involve sharing interesting content, offering career insights, or even inviting them to participate in online coding challenges. Positive reviews on employer review sites can also boost your brand.
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The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. But this scenario is avoidable.
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