Preferred Networksï¼ä»¥ä¸PFNï¼ã¨ã°ã«ã¼ãä¼ç¤¾ã®Preferred Elementsï¼ä»¥ä¸PFEï¼ã§ã¯2024å¹´10æããéå§ããGENIAC 第2æã«ã¦ã髿§è½ãã¤è»½éãªå¤§è¦æ¨¡è¨èªã¢ãã«ï¼LLMï¼ã®éçºãè¡ã£ã¦ãã¾ãããã®ä¸ã§ç¹ååå¤§è¦æ¨¡è¨èªã¢ãã«ã®ã²ã¨ã¤ã¨ãã¦ãPLaMo翻訳ãã®éçºãè¡ãã¾ããï¼ãã¬ã¹ãªãªã¼ã¹ï¼ããã®ã¢ãã«ã PLaMo Community License ï¼ã©ã¤ã»ã³ã¹æã解説è¨äºï¼ã®ãã¨ã§å ¬éï¼Huggingfaceï¼ãã誰ã§ãå©ç¨ã§ãããã¢ãã¼ã¸ãæä¾ãã¦ãã¾ããä»ãã翻訳ã¢ãã«ã¨æ¯ã¹ã¦è¨³æãæµæ¢ã§èªã¿ããããªã£ã¦ããã¨æãã¾ãã®ã§ããã²ä½¿ã£ã¦ããã ããã¨å¹¸ãã§ããã¾ãæ§è½ãé«ãåç¨å©ç¨ã«ããããã¨èªè² ãã¦ããã¾ãã®ã§ãåç¨å©ç¨ãèãã¦ããæ¹ã¯ãã²ãã©ã¼ã ãããç¸è«ãã ãããä»åã®è¨äºã§ã¯ããã®ã¢ãã«ã«ã¤ãã¦ç´¹ä»ãã¾ãã â»ä¸è¨ã«ããããã«ããã®
Dexterity Gen: Foundation Controller for Unprecedented Dexterity Zhao-Heng Yin1,2, Changhao Wang2, Luis Pineda2, Francois Hogan2, Krishna Bodduluri2, Akash Sharma2, Patrick Lancaster2, Ishita Prasad2, Mrinal Kalakrishnan2, Jitendra Malik2, Mike Lambeta2, Tingfan Wu2, Pieter Abbeel1, and Mustafa Mukadam2. 1BAIR, Berkeley EECS and 2FAIR at Meta Achieving Unprecedented Dexterity We introduce Dexerity
å æ¥ãåå£«ï¼æ å ±å¦ï¼ã«ãªãã¾ãããå¦é¨ã¨å¤§å¦é¢ããããã 9 å¹´éã§èªãã æ å ±ç§å¦é¢é£ã®æç§æ¸ã»å°éæ¸ãæãåºãæ¯ãè¿ãã¤ã¤ããã«ã¾ã¨ãã¾ããç§ã¯ææ¥ã¯ãã¾ãèããã«ç¬å¦ããã¿ã¤ãã ã£ãã®ã§ãããã«æããæ¸ç±ãéèªããã°ã大å¦ã«éããªãã¦ãããããæ å ±å¦å士ã»ã©ã®ç¥èã¯èº«ã«ã¤ããã®ã¨æããã¾ãããã ããç¹ã«å¤§å¦é¢ã§éè¦ã¨ãªãè«æãèªã¿æ¸ããããã¨ã«ã¤ãã¦ã¯æ¬ç¨¿ã«ã¯å«ãã¦ããã¾ããããããã«ã¤ãã¦ã¯è«æèªã¿ã®æ¥èª²ã«ã¤ãã¦ãè«æã®æ¸ãæ¹ãªã©ãåèã«ãã¦ãã ããã joisino.hatenablog.com å¡ä¾ï¼ï¼å端ï¼ã¨ã¯ãæ°ç« ã ãèªãã å ´åããæå¾ã¾ã§èªãã ãã®ã®çè§£ãæµ ããä»ã¨ãªã£ã¦ã¯èã¼ãããã¨ããè¦ãã¦ããªããã¨ãæãã¾ããâã¯ç¹ã«ãããããªãã¨ã表ãã¾ãã å¦é¨ä¸å¹´ å¯ºç° æè¡ãç·å½¢ä»£æ° å¢è¨çã é»ç° æä¿ãå¾®åç©åã æ²³é æ¬éãç¢ºçæ¦è«ã æ±äº¬å¤§å¦æé¤å¦é¨çµ±è¨å¦æå®¤ãçµ±è¨å¦
Magika is a novel AI-powered file type detection tool that relies on the recent advance of deep learning to provide accurate detection. Under the hood, Magika employs a custom, highly optimized model that only weighs about a few MBs, and enables precise file identification within milliseconds, even when running on a single CPU. Magika has been trained and evaluated on a dataset of ~100M samples ac
GGML - AI at the edge ggml is a tensor library for machine learning to enable large models and high performance on commodity hardware. It is used by llama.cpp and whisper.cpp Low-level cross-platform implementation Integer quantization support Broad hardware support No third-party dependencies Zero memory allocations during runtime The ggml way Minimal We like simplicity and aim to keep the codeba
Then, at runtime, a custom low-level kernel will be automatically created for your specific implementation and will rival a handcrafted GPU implementation. The kernel consists of about 60 lines of WGSL WebGPU Shading Language, an extremely verbose lower level shader language you probably don't want to program your deep learning models in! Asynchronous execution â¤ï¸âð¥ For first-party backends, an a
Opt-out request submitted by 09.02.2023 were excluded from this ersion of the dataset as well as initially flagged malicious files (not exhaustive). Datasets and data governance tools released by BigCode #The Stack: Exact deduplicated version of The Stack.The Stack dedup: Near deduplicated version of The Stack (recommended for training).The Stack issues: Collection of GitHub issues.The Stack Metad
ChatGPTã¯æ¬å½ã«ä¾¿å©ã§ããã ChatGPTã¯ä¼è©±å½¢å¼ã§çãã¦ãããã ãã§ã¯ãªããããã°ã©ã ããå¼ã³åºãã¦ä½¿ã£ã¦ãããªãé«ç²¾åº¦ãªçããè¿ãã¦ããããã¨ãããã£ã¦ãã¾ããããããªã£ã¦ããã¨ä½¿ãæ¹ç¡é大ã§ãã ä»åã¯ãCSVã«ã¦ã¼ã¶ã®èªç±å ¥åã§ç»é²ãããè·æ¥ã®é ç®ãç£æ¥å¥ã«åé¡ãããã¨è¨ã£ãã¦ã¼ã¹ã±ã¼ã¹ãæ³å®ãã¦æ¤è¨¼ãé²ãã¾ããã ãã¨ãã°ãã¢ã³ã±ã¼ããªã©ã§è·æ¥ãªã©ãå ¥åãã¦ãããå ´åãã©ããã¦ã表è¨ã®ãµããåºã¦ãã¾ãã¾ããï¼ãã¨ãã°SE,ã½ããã¦ã§ã¢ã¨ã³ã¸ãã¢,ããã°ã©ãã¼ã¨ãï¼ ããã鲿¢ããããã«ãã¦ã¼ã¶å ¥åæã«äºããã¹ã¿ãç¨æãã¦ããããã«ãã¦ã³ãªã©ã§å ¥åãã¦ãããã¨ãã£ããã¨ãããã°ããã§ãããä¸ã®ä¸ã®è·æ¥ã¯æ°ããããªãã»ã©ããï¼ãã¹ã¿ãæºåããã®ã¯å¤§å¤ã»ã»ã» æºåã§ããã¨ãã¦ãããã¾ã鏿è¢ã®æ°ãå¤ãã¨ä»åº¦ã¯å ¥åè ãããããé¸ã¶ã®ãä¸å¯è½ã«ãªã£ã¦ãã¦ãã¾ãã¾ãã ã¨ããããæ
âGodfather of AIâ quits Google with regrets and fears about his lifeâs workGeoffrey Hinton who won the âNobel Prize of computingâ for his trailblazing work on neural networks is now free to speak about the risks of AI. Geoffrey Hinton who won the âNobel Prize of computingâ for his trailblazing work on neural networks is now free to speak about the risks of AI.
https://main--cc--adobecom.aem.page/cc-shared/assets/img/firefly.svg Adobe Firefly Adobe Firefly. The ultimate creative AI solution. Create images, video, audio, and vector graphics. Ideate, create, and collaborate with Firefly Boards. And work with the latest commercially safe Firefly generative AI models. image video Describe a subject, an action, a place, a mood, or a style. Adobe Generative AI
The Shawshank Redemption is a true masterpiece of cinema, a movie that deserves every bit of its status as one of the greatest films ever made. From its stellar performances to its unforgettable storytelling, everything about this film is a testament to the power of great filmmaking. Hugging Face is a technology company that was founded in 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf
ç®ä½ä¸æÄeÅ¡tinaNederlandsEnglishSuomiFrançaisDeutschÎλληνικάMagyarItalianoæ¥æ¬èªMelayuNorsk bokmÃ¥lPortuguêsPortuguêsRomânÄÐ ÑÑÑкийSlovenÄinaEspañolTürkçeAlbanianDanskहिनà¥à¤¦à¥Indonesiaíêµì´PolskiSlovenÅ¡Äinaà¹à¸à¸¢Ð£ÐºÑаÑнÑÑкаTiếng Viá»tÐÑлгаÑÑкиSvenska
DuckAssist is the first in a series of AI-assisted private search and browser updates. It's free (with no sign-up required!) and available to try today wherever you use DuckDuckGo.ââUpdate: July 2024. DuckAssist answers are now generated from sources beyond just Wikipedia. The answers are intentionally short â a starting point, rather than a deep dive â with prominently cited sources for you to cl
ã©ã³ãã³ã°
ãç¥ãã
ã©ã³ãã³ã°
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}