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LLMs
Trends
- 1Stanford paper claims method could reduce reliance on Nvidia memory chips●Is This the End of LLMs? This Stanford Paper Could Make Nvidia's Memory Chips Unnecessary
A Stanford research paper is drawing attention with the claim that a new technique could make Nvidia's high-bandwidth memory chips unnecessary for running large language models. The paper has sparked debate in the AI and semiconductor communities over whether such a shift is realistic, with some seeing it as potentially disruptive to Nvidia's business and others urging caution about unproven research claims.
- 2German user eyes Simplebanking for AI-linked account access●RE: https:// troet.cafe/@nSonic/11758658713 6488076 Ich werde mir wohl mal Simplebanking anschauen. https:// simplebanki
A German-language social media user says they plan to try Simplebanking, a German service that aggregates multiple bank accounts free of charge. It offers an interface, including MCP support, allowing users to connect their own large language model and work with their financial data directly. The post highlights growing interest in combining open banking aggregation tools with personal AI assistants.
Repos
- hyperionaidev/smolmaxxing maxxing the ability to run different LLMs on the smallest devices possible
- GoogleChrome/modern-web-guidance Keep your coding agent up to date with the latest web best practices
- Dodaios/ste80-humanizer STE80 Humanizer: agent skill that removes AI tells and rewrites text 80% of the way to ASD-STE100 (Simplified Technical
- Sandflow-ai/sand3d 3D modeling in Python, built for LLMs.
- harry0703/MoneyPrinterTurbo 利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
- ggml-org/llama.cpp LLM inference in C/C++
- Thysrael/Horizon 📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达
- NeuraCryption/SPECTRA Compress any LLM in seconds, load it for inference and in one click you have an AI that could have taken hours of vLLM c
- RikiyaT/lm_understand-logs Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'
- AmSach/maple MAPLE: Manifold-Activated Pruning of Latent Experts for Sub-2-BPW MoE LLMs
- sdalberto/ia-da-sobrevivencia Assistente de sobrevivência 100% offline para Windows, Linux e macOS: guias com fontes (água, fogo, comida, primeiros so