DavidAU/Llama-3.2-9B-Uncensored-Brainstorm-Alpha-GGUF
Text Generation
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Joseph Robert Turcotte PRO
Fishtiks
AI & ML interests
Roleplaying, lorabration, abliteration, smol models, extensive filtering, unusual datasets, home usage, HPCs for AI, distributed training/federated learning, and sentience.
AI should find and label AI hallucinations with GANs so we can give them context and use.
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DavidAU/Llama-3.2-9B-Uncensored-Brainstorm-Alpha-GGUF:Good for phone?
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Good for phone?
#1 opened about 10 hours ago
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DualityAI-RebekahBogdanoff's
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about 11 hours ago
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1691
Can AI models trained solely on 100% synthetic data achieve top-tier accuracy in real-world object detection?
👉 Sergio Sanz, PhD just proved it while winning Duality AI’s Synthetic-to-Real Object Detection Challenge using Falcon-generated imagery. His model achieved perfect real-world detection accuracy without a single real image in the training loop.
In this blog, Dr. Sanz walks us through his method, which includes the design and training of an advanced pipeline to achieve 100% detection accuracy.
His full technical breakdown covers:
📍 Synthetic-only training
📍 Data augmentation with an ensemble learning approach for better generalization
📍 Custom occlusion generation
📍 A Faster R-CNN model fine-tuned with Falcon generated data
📍 And much more!
The results speak for themselves!
📖 Read the blog here: https://www.duality.ai/blog/leveraging-synthetic-data-for-real-world-object-detection
Congratulations Sergio! We can't wait to see what you do next.
🔔 Ready to take on the next Synthetic-to-Real challenge? The third edition of our Kaggle competition—Multi-Instance Object Detection Challenge—is now live: https://www.kaggle.com/competitions/multi-instance-object-detection-challenge
👉 Sergio Sanz, PhD just proved it while winning Duality AI’s Synthetic-to-Real Object Detection Challenge using Falcon-generated imagery. His model achieved perfect real-world detection accuracy without a single real image in the training loop.
In this blog, Dr. Sanz walks us through his method, which includes the design and training of an advanced pipeline to achieve 100% detection accuracy.
His full technical breakdown covers:
📍 Synthetic-only training
📍 Data augmentation with an ensemble learning approach for better generalization
📍 Custom occlusion generation
📍 A Faster R-CNN model fine-tuned with Falcon generated data
📍 And much more!
The results speak for themselves!
📖 Read the blog here: https://www.duality.ai/blog/leveraging-synthetic-data-for-real-world-object-detection
Congratulations Sergio! We can't wait to see what you do next.
🔔 Ready to take on the next Synthetic-to-Real challenge? The third edition of our Kaggle competition—Multi-Instance Object Detection Challenge—is now live: https://www.kaggle.com/competitions/multi-instance-object-detection-challenge
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Has anyone ever backed up a model to a sequential tape drive, or I'm the world first? :D
Just played around with my retro PC that has got a tape drive—did it just because I can.
Just played around with my retro PC that has got a tape drive—did it just because I can.
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3 days ago
Optical will make a comeback before tape. They're electronically writing to them rather than with lasers now, so it's in the petabyte range for storage now. Holographic storage using lithium niobate is coming back, and is actually quite good. New lenses like 2D Maxwell fisheye lenses are making sensing robots more accurate, and acting as waveguides to better allow photonic processing. LightOn's Appliance is a practical example of photonic processing, and Akhetonics has an "XPU" it's working on that is to my understanding also quantum.
Can huge advanced AI concentrate data to reduce its size? We may find new methods of compression, essentially telling AI how to create files from little data, allowing AI to perhaps fit on a Jaz drive.
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frascuchon's
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Unlock the full potential of your datasets with SHEETS! It's incredibly easy to extend existing datasets and unlock new insights.
Leverage open-source models to translate, summarize, classify, and more - all directly within your existing columns.
Ready to give it a try? Explore the possibilities here: aisheets/sheets
Leverage open-source models to translate, summarize, classify, and more - all directly within your existing columns.
Ready to give it a try? Explore the possibilities here: aisheets/sheets
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A reminder to try this sometime: https://huggingface.co/AmirMohseni/YoutubeSummarizer
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Easily Train Models with H100 GPUs on NVIDIA DGX Cloud
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🗣️ 📢 New article alert!
"Integrity Threats in AI: When Data Poisoning Undermines Model Effectiveness" from Duality AI is now on HuggingFace here: https://huggingface.co/blog/DualityAI-RebekahBogdanoff/integrity-threats-in-ai
Significant threats to AI model performance aren’t always loud or obvious. Integrity violations—like subtle data poisoning attacks—can quietly erode your model’s reliability, long before anyone notices. These attacks can be surprisingly effective with minimal changes to the dataset.
At Duality, our work in high-stakes sectors like defense has driven us to tackle this threat head-on. In our latest blog from Duality's Director of Infrastructure and Security at Duality, David Strout, we unpack how data poisoning works, why it’s so dangerous, and how organizations can secure their AI pipelines with clear provenance, regular performance auditing, and a trusted synthetic data supply chain.
Whether you're building AI models for finance, healthcare, manufacturing, or national security—the integrity of these systems is a matter of public safety and security. Taking action today will mitigate fundamental business risks in the very near tomorrow.
"Integrity Threats in AI: When Data Poisoning Undermines Model Effectiveness" from Duality AI is now on HuggingFace here: https://huggingface.co/blog/DualityAI-RebekahBogdanoff/integrity-threats-in-ai
Significant threats to AI model performance aren’t always loud or obvious. Integrity violations—like subtle data poisoning attacks—can quietly erode your model’s reliability, long before anyone notices. These attacks can be surprisingly effective with minimal changes to the dataset.
At Duality, our work in high-stakes sectors like defense has driven us to tackle this threat head-on. In our latest blog from Duality's Director of Infrastructure and Security at Duality, David Strout, we unpack how data poisoning works, why it’s so dangerous, and how organizations can secure their AI pipelines with clear provenance, regular performance auditing, and a trusted synthetic data supply chain.
Whether you're building AI models for finance, healthcare, manufacturing, or national security—the integrity of these systems is a matter of public safety and security. Taking action today will mitigate fundamental business risks in the very near tomorrow.
Why humanoid robots need their own safety rules
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#876 opened 4 days ago
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ghostai1