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The New Rules of Doing Business With China
Rob Dobi/theispot.com Geopolitical tensions between the West and China are deepening. As a result, Western governments, especially in the U.S. and Europe, are hardening their rules toward Chinese companies. Although many Western executives see these policies as moving in a common direction — toward an economic decoupling — this view is too limiting. Instead, by… →
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Google AI Releases MedGemma: An Open Suite of Models Trained for Performance on Medical Text and Image Comprehension
Google AI Releases MedGemma: An Open Suite of Models for Medical Text and Image Comprehension At Google I/O 2025, Google introduced MedGemma, an open suite of models designed for multimodal medical text and image comprehension. Built on the Gemma 3 architecture, MedGemma aims to provide developers with a robust foundation for creating healthcare applications that… →
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NVIDIA Releases Cosmos-Reason1: A Suite of AI Models Advancing Physical Common Sense and Embodied Reasoning in Real-World Environments
NVIDIA Releases Cosmos-Reason1: A Suite of AI Models Advancing Physical Common Sense and Embodied Reasoning in Real-World Environments AI has made significant strides in language processing, mathematics, and code generation. However, extending these capabilities to physical environments remains a challenge. Physical AI aims to bridge this gap by developing systems that perceive, understand, and act… →
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GTM 147: RevOps Is a Hidden Growth Engine with Navin Persaud, VP of RevOps at 1Password
The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Navin Persaud is the VP of Revenue Operations at 1Password, where he leads a 30+ person team supporting a GTM org of 450+. With over 20 years of experience across RevOps, SalesOps, and MarketingOps, including time at IBM and high-growth SaaS… →
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Enhancing Language Model Generalization: Bridging the Gap Between In-Context Learning and Fine-Tuning
Enhancing Language Model Generalization: Bridging the Gap Between In-Context Learning and Fine-Tuning Language models (LMs) exhibit impressive capabilities as in-context learners when pretrained on extensive internet text corpora, enabling effective generalization from just a few task examples. However, fine-tuning these models for specific downstream tasks presents significant challenges. While fine-tuning typically requires hundreds to thousands… →
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Researchers from Renmin University and Huawei Propose MemEngine: A Unified Modular AI Library for Customizing Memory in LLM-Based Agents
Researchers from Renmin University and Huawei Propose MemEngine: A Unified Modular AI Library for Customizing Memory in LLM-Based Agents LLM-based agents are increasingly utilized across various applications due to their ability to manage complex tasks and assume multiple roles. A crucial component of these agents is memory, which stores and recalls information, reflects on past… →
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Efficacy of red ointment in wound cavity repair following non-puerperal mastitis debridement
CONCLUSION: The use of red ointment gauze strips for wound cavity filling following NPM debridement demonstrated favorable clinical efficacy and safety, providing a viable option for postoperative drainage management. →
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Evaluating the concordance between BICLA and SRI4 in patients with systemic lupus erythematosus from the placebo arms of the EXPLORER and ATHOS trials
CONCLUSIONS: BICLA and SRI4 may be discordant in SLE trials. Arthritis and rash were the primary drivers of the discordance, and serology influenced BICLA and SRI4 response, suggesting the need for evaluation of multiple efficacy endpoints rather than a single measure. →
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Meta Introduces KernelLLM: An 8B LLM that Translates PyTorch Modules into Efficient Triton GPU Kernels
Meta Introduces KernelLLM: An 8B LLM that Translates PyTorch Modules into Efficient Triton GPU Kernels Meta has launched KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct. This model is designed to automate the translation of PyTorch modules into efficient Triton GPU kernels, aiming to simplify the kernel development process and lower the barriers… →
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A Step-by-Step Coding Guide to Efficiently Fine-Tune Qwen3-14B Using Unsloth AI on Google Colab with Mixed Datasets and LoRA Optimization
«`html A Step-by-Step Coding Guide to Efficiently Fine-Tune Qwen3-14B Using Unsloth AI on Google Colab with Mixed Datasets and LoRA Optimization Fine-tuning large language models (LLMs) like Qwen3-14B often requires significant resources, time, and memory, which can hinder rapid experimentation and deployment. Unsloth AI facilitates fast and efficient fine-tuning of state-of-the-art models while minimizing GPU… →