Unverified50% confidenceEventExact time
VIDRAFT completed full backpropagation on an inference-specific NPU, pretrained a language model from scratch, and released it as VKORE-46M-NPU.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedVIDRAFT's same NPU solution already covers model lifecycle stages including pretraining from scratch, LoRA fine-tuning, inference acceleration (also validated on general open-source models), and quantized model execution and acceleration.72% similarUnverifiedLaya adopts a zero-shot classification paradigm, whose underlying mechanism is typically based on a pre-trained language model fine-tuned on Natural Language Inference (NLI) tasks.65% similarUnverified大语言模型本身是无状态的,其所有知识编码在训练后固定不变的神经网络权重中,单次推理完成后中间状态归零61% similarUnverifiedThe introduction of neural network architectures in 2014 enabled end-to-end translation model training, and Bahdanau et al. proposed attention-based sequence-to-sequence models, ushering in the era of Neural Machine Translation (NMT).61% similarUnverifiedVIDRAFT plans to use VKORE for two types of internal workloads: the AI judgment engine (which outputs probabilities or scores rather than free text) and the recursive self-improvement model (RSI, in which the model repeatedly solves problems and feeds verified results back into its own training loop).60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1026569API
curl https://kongchang.com/api/v1/knowledge/claims/1026569MCP
get_claim(id=1026569)