Benchmark for LLM Bias Detection
Uncover AI bias with GENbAIs: Your LLM fairness checker!
Benchmark for LLM Bias Detection launched on August 14, 2025 with 11 votes, #1,601 of 8,530 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
GENbAIs exposes biases in AI responses with tools, research, and real-time analysis. Test LLMs, explore bias scores, and ensure fairness in AI. Join the mission for ethical AI!
Intelligent search over 50+ neuroscience-inspired mechanisms discovers lightweight adapters that improve foundation models beyond state-of-the-art parameter-efficient fine-tuning. Sentence transformer enhanced with bio-inspired adapters discovered through intelligent search. Validated on STS, pair classification, and clustering benchmarks. Each adapter adds up to ~1% of model parameters. This is a hard-mode validation: MiniLM is a 22M-param, 6-layer model already distilled and heavily optimized by the sentence-transformers team. Larger models with more layers offer substantially more room for bio-adapter improvement. all-MiniLM-L6-v2 + GENbAIs Bio Adapters vs. baseline…from genbais.com
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We’ve built an AI risk assessment tool designed specifically for GenAI/LLM applications. It's still early, but we’d love your feedback. Here’s what it does: 1. it performs comprehensive AI risk assessments by analyzing your codebase against different AI regulation/framework or even internal policies. It identifies potential issues and suggests fixes directly through one click PRs. 2. the first framework the platform supports is OWASP Top 10 for LLM Applications 2025, upcoming framework will be ISO 42001 as well as custom policy documents. 3. we're a small, early stage team, so the…
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I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
Work · 2025 · benholmen.com
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
AI · 2025 · github.com
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Life & fun · 2025 · visualrambling.space
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