... fine-tuning. Nobody wants to feed real customer conversations into a training pipeline and hope for the best. What UNCASE does: UNCASE (Unbiased Neutral Convention for Agnostic Seed Engineering) is a framework for generating high-quality, privacy-safe synthetic training data for LoRA/QLoRA fine-tuning. It's designed to be industry-agnostic, reproducible, and auditable so regulated industries can actually participate in building their own AI without compromising their data. We've already used it to fine-tune a production ... ... sales assistant for an automotive dealership group with unprecedented results. The pipeline generates, scales, and evaluates synthetic

... extremely inexpensive compared to traditional video production with actors, camera crews, and everything that comes with it. I m confident that in a year or two, about 95% of the video published on the internet will be synthetic fully generated by AI. It feels like the world is heading toward a problem of widespread distrust in video content. We used to say that seeing is believing, but it seems that this rule no longer applies. Our ML team has built ... ... test prototype that detects signs of AI generation in synthetic

... what s next, too.) Platforms: we ve spent time with Google DeepMind, OpenAI and Microsoft in the last few weeks. Their roadmaps heavily influence the entire industry. Other builders & events : it s amazing seeing what excites people. SF vs. London is hilariously different. VCs : they see thousands of pitches. Their pattern-recognition is a cheat code if you listen carefully. Customers : sometimes you have to ignore everything above and ground yourself in what the average, non-bubble, person ... ... stop thinking about it. More of the web is AI-generated. More social content is AI-generated. LLMs are trained on that content. So basically We re feeding cows to the cows. What happens when training data becomes synthetic

... public learning prototype for researchers, SOC analysts, students, and AI safety practitioners. Over the last 4 days, I built a complete multi-agent cyber battleground that simulates: Red Team (simulated): CVE-inspired attack chains Polymorphic behavior patterns Synthetic SHA256 IOCs MITRE ATT&CK mapping Blue Team: UEBA threat hunting C2 blocking IOC correlation Detection rule generation 8-Model Ensemble Consensus: 4/8 agreement determines truth during attacks. 100+ documented scenarios: MOVEit, 3CX, Ivanti, Log4Shell patterns NEW: Live Breach Control Panel ... ... powered by Perplexity AI Real-time incident summaries Correlated events Recommended remediation steps Citation-ready insights Fully air-gapped All telemetry is synthetic

... Here is the new Custom Synthetic Scenarios Node I think yesterday's predictions are useless for today's and tomorrow's chaos. That's why Datastripes launched the Scenario Node , an AI-powered predictive engine that lets you model not just what's probable, but also what's possible. As one user perfectly put it under my post: it s like having a crystal ball for your data, but way, way more reliable. The Scenario Node is a game-changer ... ... scenarios. It was a huge request from you, the Datastripes community here on Product Hunt. Here some examples: Simulate a sales collapse by applying a multiplier of 0.5. It's perfect for quickly understanding the impact of a new competitor

... Product Hunt community! We're thrilled to announce our most powerful new feature yet for DataStripes ( https://datastripes.com/ ): the Autonomous Scenarios node (also called Synthetic Scenarios Generator ). Datastripes is a visual and collaborative data storytelling platform, and in just three days, you'll be able to transform how you understand data. With this new node, you don't just see your data; you can actively interact with its future. What the Autonomous Scenario node does The Autonomous Scenario node uses ... ... data analysis accessible to everyone. We wanted to give users a way to prepare for the unknown, test strategic decisions, and make better-informed choices in an uncertain world. This node is our answer to that need. But why synthetic

... just launched a feature in Datastripes that makes building synthetic scenarios effortless. But before all, what are these Synthetic

... Synthex solves the biggest challenge in healthcare AI: accessing quality medical text data. While real medical records are locked behind HIPAA regulations, our AI generates realistic synthetic medical text that's statistically similar to real data but completely privacy-safe. Generate realistic medical records instantly Clinical notes & discharge summaries Lab reports & prescriptions Patient intake forms & medical correspondence Multi-specialty medical text (cardiology, oncology, etc.) 100% Privacy-Safe & Compliant No real patient data used HIPAA-compliant ... ... Researchers Simple REST API integration Batch processing capabilities Custom medical specialties Quality scoring & validation Perfect for: Healthcare AI startups, medical researchers, pharmaceutical companies, health tech developers, and anyone building medical AI applications. get beta access and creating synthetic

... fellow hunters, I am currently working on a project to develop an application that would allow businesses to generate synthetic data to train their models. I would lile your insights into this. I would like to know: - what do your think of this idea? - what market segments should I target? - if you are already in this domain then what are the dos and don'ts? I am currently at the proof of concept stage and would love to learn what ...

... everyone, after quite a bit of development, testing, rewriting, testing, starting again and testing, I'm happy to announce that my synthetic data generator for financial card transaction data is now live! It's based on an industry standard spec for base raw data files, requires no input, unlike Snowflake's synthetic