Researchers developed MethylGPT, a powerful transformer-based model that identifies DNA methylation patterns, enabling advanced age and disease prediction with clinical potential.

Specification:Product: Variac transformerModel: TDGC-3KVAMaterial: Iron (shell), copper coilCapacity: 3KVAInput voltage: AC 110V, 60HzOutput voltage: AC 0-130V, 60HzMax output: 30 AmpsPlug type: US PlugCondition temperature: Humidity: Dielectric strength: 1500 V/minInsulated resistance: >5MΩFeature:Enclosed and adjustable variac transformerContact voltage regulatorWide voltage range (0-130V)High efficiency with no waveform distortionWith output volt meter and 30A fuseBuilt-in copper coil with high quality materialMore security, reliability and durabilityOver-voltage protectionPackage Includes:1 x Variac Transformer

#Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking effort, making it a versatile #foundationmodel for various applications. Inkling also demonstrates strong performance in audio and vision tasks, and is well-calibrated for forecasting and prediction. https://thinkingmachines.ai/news/introducing-inkling/?eicker.news #tech #media #news

Nvidia heeft DLSS 4.5 aangekondigd. Deze versie van de upscalingtechniek biedt verschillende verbeteringen. Zo is het transformermodel verbeterd, waardoor de techniek betere beeldkwaliteit moet bieden. Multiframegeneration werkt voortaan met maximaal 5 AI-frames per gewoon frame.

I tried to migrate from HFApiModel to TransformerModel as I do not wish to incur more cost but I had this error. model = TransformersModel( # model_id="Qwen/Qwen2.5-Coder-14B-Instruct", model_id="meta-llama/Llama-3.2-3B-Instruct", device_map="cuda" ,max_new_tokens=5000,torch_dtype="bfloat16" ) I tried to solve it on my own via but the error persist. What else should I try?