“AI's memory is divided into two main phases...”

“This article introduces recommended books and websites to study the required pre-requisite knowledge.”

“The article discusses fine-tuning LLMs and the use of methods like LoRA.”

“In modern LLM development, Pre-training, SFT, and RLHF are the "three sacred treasures."”

“元来，LLMの構築にはデータの準備から学習．評価まで様々な工程がありますが，統一的なパイプラインを作るには複数のメーカーの異なるツールや独自実装との混合を検討する必要があります．”

“The article begins by stating it's a follow-up on the 'AI Investment System Construction' series and references previous posts on time-series data learning. It then announces the focus on re-training methods and automation.”

“Youtu-LLM sets a new state-of-the-art for sub-2B LLMs...demonstrating that lightweight models can possess strong intrinsic agentic capabilities.”

“The paper formulates a unified taxonomy for pre-training paradigms, ranging from single-modality baselines to sophisticated unified frameworks.”

“The paper highlights that the targeted Reasoning RL and Agentic RL stages yield significant gains in their respective capabilities.”

“DATAMASK achieves significant improvements of 3.2% on a 1.5B dense model and 1.9% on a 7B MoE model.”

“DGC achieves background-tissue separation (mean IoU 0.925) and demonstrates unsupervised disease detection through navigable semantic granularity.”

“The paper introduces Embodied Reasoning Intelligence Quotient (ERIQ), a large-scale embodied reasoning benchmark in robotic manipulation, and FACT, a flow-matching-based action tokenizer.”

“A positive correlation between LAP and forecast accuracy indicates the presence and magnitude of lookahead bias.”

“TV-RAG realizes a dual-level reasoning routine that can be grafted onto any LVLM without re-training or fine-tuning.”

“LAM3C achieves higher performance than the previous self-supervised methods on indoor semantic and instance segmentation.”

“The article likely contains technical details about the model's inner workings.”

“Liquid AI has introduced LFM2-2.6B-Exp, an experimental checkpoint of its LFM2-2.6B language model that is trained with pure reinforcement learning on top of the existing LFM2 stack.”

“SPECTRE establishes a new state-of-the-art for movement decoding, significantly outperforming both supervised baselines and generic SSL approaches.”

“The paper finds that human-to-robot transfer emerges once the VLA is pre-trained on sufficient scenes, tasks, and embodiments.”

“SLIM-Brain establishes new state-of-the-art performance on diverse tasks, while requiring only 4 thousand pre-training sessions and approximately 30% of GPU memory comparing to traditional voxel-level methods.”

“"Through 3-5 efficient interaction rounds, Erkang Diagnosis can accurately understand user symptoms, conduct preliminary analysis, and provide valuable diagnostic suggestions and health guidance."”

“"QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management"”

“"Towards Scalable Pre-training of Visual Tokenizers for Generation"”

“The paper focuses on using perplexity landscapes to predict performance for continual pre-training.”

“Our experiments show that training with CHAMMI-75 can improve performance in multi-channel bioimaging tasks primarily because of its high diversity in microscopy modalities.”

“Foundational research is key to understanding LLMs.”

“By exploring and exploiting vehicle-related multimodal structured priors to guide the masked token reconstruction process, our approach can significantly enhance the model's capability to learn generalizable representations for vehicle-centric perception.”

“Our solution focused on employing class prototypes obtained from the training dataset as a proxy guidance for training a segmentation Vision Transformer (ViT) on the test set images.”

“”

“The article's context revolves around using CLIP based region-aware feature fusion.”

“”

“The study focuses on multi-modal analysis.”

“InvCoSS utilizes inversion-driven continual self-supervised learning.”

“The paper focuses on quantifying uncertainty from the pre-training corpus for Dynamic Retrieval-Augmented Generation.”

“scaling remains essential for discovering emergent agentic capabilities like error recovery and dynamic tool learning.”

“The article likely explores methods that leverage pixel-level information during pre-training to guide the learning process.”

“The article likely details the model's architecture, training methodology, and experimental results.”

“The paper focuses on a Sparsity-Controllable Dynamic Top-p MoE for Large Foundation Model Pre-training.”

“The paper likely introduces or utilizes a training paradigm that focuses on optimizing model behavior during inference rather than solely during pre-training.”

“The article is based on a research paper published on ArXiv.”

“”

“”

“”

“”

“”

“The article's abstract or introduction would likely contain a concise explanation of the problem (template bias) and the proposed solution (empty prompts).”

“The research focuses on laparoscopic segmentation.”

“The paper examines the interplay between pre-training, mid-training, and reinforcement learning.”

“”

“Instruction Fine-Tuning (IFT) emerged to address a fundamental gap in Large Language Models (LLMs): aligning next-token prediction with tasks that demand clear, specific instructions.”