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MongoDB - Build AI That Scales
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Large-scale models
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Paul๐ 28 karmaMar 11, 2026@SquareGenReally interesting approach with SquareGen. Quick observation: the product is framed as LLM credit scoring, but lenders donโt buy models โ they buy lower default rates. If a lender with a $100M book drops defaults by even 1%, thatโs ~$1M saved annually. Positioning around credit loss reduction could massively change the commercial narrative. Happy to share a few thoughts.
Other tools
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I have used this for several personal assistant applications and it works amazingly. Obviously it is still restricted to the flaws of any model you are using it with, but the ability to constrain prompts is incredibly helpful (especially when it comes to getting things like JSON format from the AI).
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threw some 2D character sketches into this and got usable 3D models back. they need cleanup but it's a solid starting point. beats modeling from scratch when you're just testing ideas
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Finally, an AI that makes fine-tuning simple and fast. No infrastructure, no coding, just results. This is exactly what the community needs!
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I just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further
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VModel provides rich AI model resources, clothing display picture shooting becomes very easy!
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Itโs a powerful and intuitive tool that simplifies complex tasks, boosts productivity, and makes managing work smoother than ever. Highly recommended!
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This is without doubt, the fastest and easiest way to compare and test different AI models side by side
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Just tried the tool and printed my first 3D model, and Iโm honestly surprised by how good it came out. It was super easy to use, and the final print matched my reference image perfectly. Congrats to the Mimetic Labs team for building such a simple but super cool tool.
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A huge disappointment. It fails standard tasks that Sonnet 3.5 completes with no issue. Iโll be skipping this version.
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I am the founder of Heimdall and everything in this description about the product is incorrect.

