>help with a school project More on reddit.com

I’m using AI for a bunch of things, honestly. One of the coolest setups I have is an automation that generates sales proposals based on what was discussed in sales calls. It drafts the entire proposal for me, and I just tweak it a bit before sending it off to the potential client. Saves a ton of time and keeps things consistent. We also built an Agentic AI workflow for a client that absolutely catapulted his Twitter/X platform with impressions from 1.3K to 1.1 million, organically in 90days. It’s not just about pushing out random AI content. The AI posts on his behalf, but it’s all based on his previous content (using a vector database), so it sounds like him. Plus, we have this engagement workflow that monitors certain micro-influencers. Whenever they post, the AI suggests replies that match his tone and brand. Everything’s controlled through his Slack, so he still has the final say. He can approve, tweak, or write a completely custom reply if he wants. This way, there’s a human in the loop, not just flooding social media with AI-generated junk. More on reddit.com

I continually laugh at Duncan, who hasn’t a clue about technology and how it works, assumes AI is still 3+ years out. Go ahead and vote yes on this thinking AMPTP doesnt already have plans to cut below the line costs to maximize above the line. More on reddit.com

Im currently looking into using GANs to rebalance datasets. In short, I train GANs to generate minority class samples and use these samples as additional training data. Some studies show that this "GAN-based oversampling" can sometimes lead to better classificers. (Improving over other oversamling techniques like SMOTE).

I work on/ with a very specific data type, to my knowledge no generative AI has been used with this data so far. However, I have read some studies on e.g. anomaly detection in medical scans using GANs as well.

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