与「40s」相关的搜索结果

A wonderful swing sequence from the movie Hellzapoppin' (1941). The Harlem Congeroos (the group of swing dancers) also went under the name Whitey's Lindy Hoppers. #dance# #swing# #40s#

ମୁଁ ଆସନ୍ତାକାଲି, ୨୦ ଜୁନରେ ଓଡ଼ିଶାର ମୟୂରଭଞ୍ଜରେ ରହିବି। ଏହି ଗସ୍ତ ଉଲ୍ଲେଖନୀୟ ହେବ କାରଣ ରାଷ୍ଟ୍ରପତି ଜୀ ଏହି କାର୍ଯ୍ୟକ୍ରମରେ ଯୋଗଦେବେ। ମୟୂରଭଞ୍ଜ ମଧ୍ୟ ମାନ୍ୟବର ରାଷ୍ଟ୍ରପତି ଦ୍ରୌପଦୀ ମୁର୍ମୁ ଜୀଙ୍କ ଗୃହ ଜିଲ୍ଲା। ରାଷ୍ଟ୍ରପତି ଜୀ ଏବଂ ମୁଁ ପାହାଡପୁର ଗାଁକୁ ଯିବୁ ଏବଂ ତାହା ପରେ ଆମେ ବର୍ତ୍ତମାନର ଓଡ଼ିଶା ସରକାରଙ୍କ ଦୁଇ ବର୍ଷ ପୂର୍ତ୍ତି କାର୍ଯ୍ୟକ୍ରମରେ ଯୋଗଦେବୁ। ୪୭,୦୦୦ କୋଟି ଟଙ୍କାରୁ ଅଧିକ ମୂଲ୍ୟର ବିକାଶମୂଳକ କାର୍ଯ୍ୟର ଉଦଘାଟନ ଅଥବା ଭିତ୍ତିପ୍ରସ୍ତର ସ୍ଥାପନ କରାଯିବ। @rashtrapatibhvn

I will be in Mayurbhanj, Odisha, tomorrow, 20th June. This visit will be noteworthy as Rashtrapati Ji will be joining the programme. Mayurbhanj is also the home district of the Honourable President, Droupadi Murmu Ji. Rashtrapati Ji and I will be in Pahadpur village, after which we will join the programme to mark two years of the present Odisha Government. Development works worth over Rs. 47,000 crore would either be inaugurated or their foundation stones would be laid. @rashtrapatibhvn

🎤HISTORIA DE SUPERACIÓN: Takibi Amamori, autor de “Makeine”, reveló que finalmente renunció a su trabajo de oficina para dedicarse a escribir tras el éxito masivo del anime. ✍️ ⚡️Lo increíble: Debutó profesionalmente en sus 40s. Tras 20 años sin escribir por carga laboral, decidió retomar su sueño: "Quería hacer lo que pudiera mientras tuviera tiempo". Nunca es tarde para empezar. 👏📈

Excited to release new repo: nanochat! (it's among the most unhinged I've written). Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single, dependency-minimal codebase. You boot up a cloud GPU box, run a single script and in as little as 4 hours later you can talk to your own LLM in a ChatGPT-like web UI. It weighs ~8,000 lines of imo quite clean code to: - Train the tokenizer using a new Rust implementation - Pretrain a Transformer LLM on FineWeb, evaluate CORE score across a number of metrics - Midtrain on user-assistant conversations from SmolTalk, multiple choice questions, tool use. - SFT, evaluate the chat model on world knowledge multiple choice (ARC-E/C, MMLU), math (GSM8K), code (HumanEval) - RL the model optionally on GSM8K with "GRPO" - Efficient inference the model in an Engine with KV cache, simple prefill/decode, tool use (Python interpreter in a lightweight sandbox), talk to it over CLI or ChatGPT-like WebUI. - Write a single markdown report card, summarizing and gamifying the whole thing. Even for as low as ~$100 in cost (~4 hours on an 8XH100 node), you can train a little ChatGPT clone that you can kind of talk to, and which can write stories/poems, answer simple questions. About ~12 hours surpasses GPT-2 CORE metric. As you further scale up towards ~$1000 (~41.6 hours of training), it quickly becomes a lot more coherent and can solve simple math/code problems and take multiple choice tests. E.g. a depth 30 model trained for 24 hours (this is about equal to FLOPs of GPT-3 Small 125M and 1/1000th of GPT-3) gets into 40s on MMLU and 70s on ARC-Easy, 20s on GSM8K, etc. My goal is to get the full "strong baseline" stack into one cohesive, minimal, readable, hackable, maximally forkable repo. nanochat will be the capstone project of LLM101n (which is still being developed). I think it also has potential to grow into a research harness, or a benchmark, similar to nanoGPT before it. It is by no means finished, tuned or optimized (actually I think there's likely quite a bit of low-hanging fruit), but I think it's at a place where the overall skeleton is ok enough that it can go up on GitHub where all the parts of it can be improved. Link to repo and a detailed walkthrough of the nanochat speedrun is in the reply.

40S婴幼儿口水巾棉纱家居服 100%棉双层梭织婴幼儿口水巾材质。不经漂染还原面料本身。两款任意选择，睡裙和吊带套装。直供天猫订单款。上身透气，自然舒适。整体吸湿一秒排汗。是完全无牵扯感的睡衣。越洗越软越穿越舒适~宽松廓形。小个子/高个子都无压力。59~69块青岛工厂直发。缺点是发货慢5-7天。

Extract – a system built by the UK government, using our Gemini foundational model – will help council planners make faster decisions. 🚀 Using multimodal reasoning, it turns complex planning documents – even handwritten notes and blurry maps – into digital data in just 40s. Find out more. ↓

GitLab is reporting up to 100x less memory used and 2.6x faster builds (2.5m to <40s) with rolldown-vite, without even fully enabling native plugins 🤯

ミュージカル「悪ノ娘」に、ジェルメイヌ役で出演させて頂きます✨ 大好きな作品で、今回はずっとやりたかったジェルメイヌをやらせていただけることになり、とても嬉しいです☺️ 日程: 2024年3 月13日~17 日 劇場: こくみん共済 coop ホール/スペース・ゼロ HPはこちら↓