3 New GenAI Web APIs

I have been working on Gen AI and data synthetization for many years. You might have heard about my synthetization of DNA sequences (the most recent algorithm, based on LLM techniques), or my upcoming specialized GPT-like app, based on crawling high-quality, large repositories. The latter offers precise answers and links to scientific questions, not matched by anything available today. All are open sources and free, run very fast, deliver better results, and may or may not use neural networks.

More and more of these techniques now have their own Python library on PyPi, and their own Web API. You can test three of them on my new platform GenAI Tech Lab, here. It covers synthetic data, geospatial data, and terrain generation with synthetic, animated terrains using agent-base modeling techniques.

Play with the default datasets or use your own! You can fine-tune parameters after reading the documentation. It also comes with model evaluation. The source code is on GitHub. Free documentation can be found here. More comprehensive and up-to-date documentation is in my new book "Statististical Optimization for Gen AI and ML" (here).

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