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up</a></div></div></div></div></div></div><noscript><div><div><h1 class="_8w6a _8w6b _8w61">Blog Posts</h1></div><div class="_7g--"><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">November 22, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">AR/VR</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Introducing SPDL: Faster AI model training with thread-based data loading</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">SPDL is a framework-agnostic data loading solution that uses multi-threading, which achieves high-throughput in a regular Python interpreter (built without free-threading option enabled).</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">November 22, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/spdl-faster-ai-model-training-with-thread-based-data-loading-reality-labs/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">November 20, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Building a chatbot based on Llama to engage an intergovernmental organization’s stakeholders</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">Accenture turned to Llama for a leading global intergovernmental body’s first large-scale, public-facing generative AI application.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">November 20, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/accenture-built-with-llama/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">November 19, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Research</h4><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Open Catalyst experiments 2024</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">Meta FAIR is releasing a large-scale dataset of experimental results on various materials, providing valuable insights for the development of new catalysts.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">November 19, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/open-catalyst-simulations-experiments/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">November 13, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">IBM and Llama: Working to enable AI builder creativity globally</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">IBM and Meta are implementing the combined power of IBM’s watsonx AI and data platform and Llama to help businesses reach their AI goals.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">November 13, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/ibm-watsonx-ai-llama/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">November 08, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Highlights from the first-ever Llama hackathon in India</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">Teams embarked on a 30-hour journey to create AI solutions tackling real-world challenges, leveraging Meta’s Llama 3 models and WhatsApp APIs.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">November 08, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/llama-hackathon-india/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">July 23, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Introducing Llama 3.1: Our most capable models to date</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">Bringing open intelligence to all, our latest models expand context length, add support across eight languages, and include Meta Llama 3.1 405B— the first frontier-level open source AI model. </p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">July 23, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/meta-llama-3-1/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">October 31, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Advancing embodied AI through progress in touch perception, dexterity, and human-robot interaction</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">Today, Meta FAIR is publicly releasing several new research artifacts that advance robotics and support our goal of reaching advanced machine intelligence (AMI).</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">October 31, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/fair-robotics-open-source/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">August 28, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Building next generation solutions through open source AI</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">An early adopter of Llama 3.1, Infosys is leveraging its capabilities to unlock new efficiencies as part of the company’s commitment to staying at the forefront of open source.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">August 28, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/built-with-llama-infosys/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">October 24, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Introducing quantized Llama models with increased speed and a reduced memory footprint</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">As our first quantized models in this Llama category, these instruction-tuned models retain the quality and safety of the original 1B and 3B models, while achieving 2-4x speedup.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">October 24, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/meta-llama-quantized-lightweight-models/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">October 24, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">Roboflow estimates a 74-year time savings across its community from using Meta’s Segment Anything </h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">As a company with a mission to help make the world more programmable, Roboflow uses SAM to help build systems that enable their customers to have visual understanding for just about anything.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">October 24, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/segment-anything-roboflow-image-segmentation/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" fill="#344854"></path></svg></a></div></div></div></div></div></div></div></div></div><div><div class="_8034"><div class="_8xm7" data-ms="{"creative":"listview-card","creative_detail":"listview-card","create_type":"listview-card","create_type_detail":"listview-card"}"><div class="_8xis _8xhs"><div class="_8xm6"><div class="_8xm8"><p class="_8w6f _8w60 _8w6g">網誌</p></div><div class="_8xkp"><div class="_8xkn"><p class="_8w6f _8wl0 _8w6h">October 22, 2024</p></div></div><div class="_8xiz"><div class="_8xit"><div class="_8wpy"><div class="_8x6u"><h4 class="_8w6a _8w6e _8w60 _8xok _8x78">Open Source</h4></div></div><div class="_8wpz"><h4 class="_8w6a _8w6e _8w61">How an online gifting site is using Llama to help protect customer privacy</h4></div><div class="_8xkk"><p class="_8w6f _8xm4 _8w61 _8w6h">Untukmu.AI, a platform that offers personalized gift recommendations, designed a semi-decentralized personal assistant that ensures the company won’t have access to customer data.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">October 22, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/untukmu-built-with-llama/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 0.198869C0.490258 -0.0662898 0.944465 -0.0662898 1.22461 0.198869Z" 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open science and reproducibility.</p></div></div><div class="_8xix _8xiy"><div class="_8xkq"><div class="_8xkn"><p class="_8w6f _8xm4 _8wl0 _8w6h">October 18, 2024</p></div></div><div class="_8xkm"><p class="_8w6f _8xm4 _8wl0 _8w6h"></p><div class="_8xko"><a class="_8xc5 _8x97 _8w61" href="https://ai.meta.com/blog/fair-news-segment-anything-2-1-meta-spirit-lm-layer-skip-salsa-lingua/" data-ms="{"creative":"link","creative_detail":"link","create_type":"link","create_type_detail":"link"}" data-lnfb-mode="ie"><span class="_8x6t _8x94 _8w61 _8w6h">了解詳情</span><svg class="_8x95" fill="none" height="11" width="6" viewBox="0 0 6 10" xmlns="http://www.w3.org/2000/svg"><path d="M1.22461 0.198869L5.78989 4.51989C6.07004 4.78505 6.07004 5.21495 5.78989 5.48011L1.22461 9.80113C0.944465 10.0663 0.490258 10.0663 0.21011 9.80113C-0.0700368 9.53597 -0.0700368 9.10606 0.21011 8.8409L3.19825 5.88451L4.15473 4.9792L3.19825 4.07389L0.21011 1.1591C-0.0700368 0.893936 -0.0700368 0.464029 0.21011 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