PaTH Attention: The Next Leap in Context-Aware Language Models Large language models have transformed artificial intelligence, powering everything from chatbots to automated code generation. Yet, even the most advanced models often struggle to follow evolving sta... AI research context awareness large language models machine learning PaTH Attention position encoding reasoning transformers
Inside the Transformers v5 Release From HuggingFace Hugging Face's Transformers library just reached a pivotal moment with the v5.0.0rc0 release, its first major version upgrade in five years. With over 800 commits, this release introduces sweeping cha... api changes huggingface new models quantization release notes tokenization trainer transformers
Few-Shot Learning Revolutionizes Time-Series Forecasting: Inside Google's TimesFM-ICF Google’s latest AI breakthrough in time-series forecasting proposes a system that instantly adapts to new challenges with only a handful of examples provided. For industries such as retail, energy, an... AI research business analytics few-shot learning forecasting foundation models machine learning time-series transformers
Accelerating Transformers: GPT-OSS-Inspired Advances in Hugging Face Transformers are evolving fast and Hugging Face is leading the charge with new optimizations inspired by OpenAI's GPT-OSS models . If you're working with large language models, recent upgrades in the ... GPT-OSS Hugging Face model optimization NLP parallelism quantization transformers
Kumo AI’s Relational Foundation Model: The Next Step in Enterprise Prediction Generative AI and large language models (LLMs) have revolutionized how businesses approach summarization and reasoning. However, when it’s time to forecast outcomes like customer churn or fraud, tradi... AI prediction enterprise AI foundation models machine learning relational data transformers zero-shot learning