#llm

Anya Rossi

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코드: SA-101 풀영상 👉👉 MIB 메타버스?? 반응이 좋으면 후속편도 가져와볼게요❤️ #grok #이미지생성 #동영상생성 #ai #LLM #성인 #동영상 #미인 #미녀

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코드: SA-101 풀영상 👉👉 MIB 메타버스?? 반응이 좋으면 후속편도 가져와볼게요❤️ #grok #이미지생성 #동영상생성 #ai #LLM #성인 #동영상 #미인 #미녀

228,386 views • 3 months ago

大模型润色变声器的效果，因为是半双工，macOS上面cpu推理，再加上说话人识别模型，所以说延迟很大，最近会有个改版迁移到50系上面用cuda，顺便麦克风阵列应该可以支持全双工，敬请期待～ #kigurumi #voicechanger #LLM

大模型润色变声器的效果，因为是半双工，macOS上面cpu推理，再加上说话人识别模型，所以说延迟很大，最近会有个改版迁移到50系上面用cuda，顺便麦克风阵列应该可以支持全双工，敬请期待～ #kigurumi #voicechanger #LLM

机械神教驻神圣泰拉机械神甫0059

503,648 views • 9 months ago

Introducing a real-time AI-driven NPC dialogue prototype. The character generates dialogue and selects actions dynamically during gameplay instead of relying on scripted dialogue trees. #gamedev #prototype #UE5 #LLM

Introducing a real-time AI-driven NPC dialogue prototype. The character generates dialogue and selects actions dynamically during gameplay instead of relying on scripted dialogue trees. #gamedev #prototype #UE5 #LLM

91,781 views • 2 months ago

🎥SA-101📷 Full vid 📷 MIB Metaverse?? I'll bring the sequel if you guys liked it❤️ MIB 元宇宙？？如果反應不錯的話，之後也會帶來續集喔.❤️ #grok #imagegeneration #videogeneration #ai #LLM #adult #video #beauty #beautifulwomen #成人 #影片 #美女 #正妹

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🎥SA-101📷 Full vid 📷 MIB Metaverse?? I'll bring the sequel if you guys liked it❤️ MIB 元宇宙？？如果反應不錯的話，之後也會帶來續集喔.❤️ #grok #imagegeneration #videogeneration #ai #LLM #adult #video #beauty #beautifulwomen #成人 #影片 #美女 #正妹

39,486 views • 3 months ago

"We've developed what we believe is a sufficient, joint weapon target pairing Large Language Model (LLM) that will run inside the kill chain. We started out developing this in an #INDOPACOM exercise..we are now moving to evolve that from a simple #LLM to an actually fully devolved reasoning model that we are modeling after the Field Artillery Warrant Officer" ~ Col. Jonathan Harvey (📹US Army)

"We've developed what we believe is a sufficient, joint weapon target pairing Large Language Model (LLM) that will run inside the kill chain. We started out developing this in an #INDOPACOM exercise..we are now moving to evolve that from a simple #LLM to an actually fully devolved reasoning model that we are modeling after the Field Artillery Warrant Officer" ~ Col. Jonathan Harvey (📹US Army)

AirPower 2.0 (MIL_STD)

69,169 views • 7 months ago

Creating an app can be a breeze! Thanks to the Qianfan foundation model platform and ERNIE 4.0, Mr. Cai crafted a city walking guide app. Just two simple steps, and you've got your personalized route introduction. 🌍📱 #ERNIEBot #LLM #AI #CityWalk

Creating an app can be a breeze! Thanks to the Qianfan foundation model platform and ERNIE 4.0, Mr. Cai crafted a city walking guide app. Just two simple steps, and you've got your personalized route introduction. 🌍📱 #ERNIEBot #LLM #AI #CityWalk

197,334 views • 2 years ago

One more for the city #LLM #AGTG

One more for the city #LLM #AGTG

114,183 views • 1 year ago

【驚愕】3DSでLLMが動いた！レトロハードでAIの新境地です！🤖✨ 任天堂3DSで大規模言語モデル（LLM）が動作するデモが登場！超軽量モデルで、低スペックデバイスでもAIが動く奇跡！エッジAIの新たな可能性に注目ですね！🎮✨ #3DS #LLM

【驚愕】3DSでLLMが動いた！レトロハードでAIの新境地です！🤖✨ 任天堂3DSで大規模言語モデル（LLM）が動作するデモが登場！超軽量モデルで、低スペックデバイスでもAIが動く奇跡！エッジAIの新たな可能性に注目ですね！🎮✨ #3DS #LLM

ハカセアイ(Ai-Hakase)🐾最新トレンドＡＩのためのＸ 🐾

42,185 views • 6 months ago

My #AI droid running an uncensored #LLM reacts to his newly launched #MEMECoin 😂 $RobOS RobOS 🤖⚡

My #AI droid running an uncensored #LLM reacts to his newly launched #MEMECoin 😂 $RobOS RobOS 🤖⚡

58,182 views • 1 year ago

RIG-Hover Demo by LuwuDynamics 🤖 Brushless self-balancing + rotating head module. #Robotics #llm

RIG-Hover Demo by LuwuDynamics 🤖 Brushless self-balancing + rotating head module. #Robotics #llm

18,857 views • 4 months ago

Check out mistral.rs, our #Rust-based open source inference engine allowing for fast #LLM serving for a variety of architectures including X-LoRA mixture-of-expert (MoE) models, Llama-3, Mistral/Mixtral, Gemma & many others. Built on the Hugging Face #Candle framework for #Rust w/ custom CUDA kernels in the backend (as well as support for Metal, Apple Accelerate, and Intel MKL for CPU use), you can easily create a REST API OpenAI compatible server or run via Python bindings. Key features include: ✅Prefix caching, continuous batching ✅Flash Attention V2 ✅Device offloading ✅GGUF or Hugging Face models ✅2, 3, 4, 5, 6 and 8 bit quantization ✅X-LoRA MoE non-granular scalings for fast inference ✅Grammar support ✅Continuous batching ✅LoRA support with weight merging ✅LlamaIndex 🦙 integration ...and much more. Incorporation into our GraphReasoning multi-agent modeling framework & LlamaIndex 🦙 allows you to combine in-context learning with adversarial agentic strategies, to dive deep into complex scientific analyses, such as to predict material behaviors, generate hypotheses, analyze papers and data, develop new research concepts, and much more. Check out mistral.rs: Join our Discord here: Rust Trending Rust Language

Check out mistral.rs, our #Rust-based open source inference engine allowing for fast #LLM serving for a variety of architectures including X-LoRA mixture-of-expert (MoE) models, Llama-3, Mistral/Mixtral, Gemma & many others. Built on the Hugging Face #Candle framework for #Rust w/ custom CUDA kernels in the backend (as well as support for Metal, Apple Accelerate, and Intel MKL for CPU use), you can easily create a REST API OpenAI compatible server or run via Python bindings. Key features include: ✅Prefix caching, continuous batching ✅Flash Attention V2 ✅Device offloading ✅GGUF or Hugging Face models ✅2, 3, 4, 5, 6 and 8 bit quantization ✅X-LoRA MoE non-granular scalings for fast inference ✅Grammar support ✅Continuous batching ✅LoRA support with weight merging ✅LlamaIndex 🦙 integration ...and much more. Incorporation into our GraphReasoning multi-agent modeling framework & LlamaIndex 🦙 allows you to combine in-context learning with adversarial agentic strategies, to dive deep into complex scientific analyses, such as to predict material behaviors, generate hypotheses, analyze papers and data, develop new research concepts, and much more. Check out mistral.rs: Join our Discord here: Rust Trending Rust Language

Markus J. Buehler

73,575 views • 2 years ago