🀄 GuoFeng Webnovel: A Discourse-Level and Multilingual Corpus of Web Fiction
🖥 Github: https://github.com/longyuewangdcu/guofeng-webnovel
📕 Paper: https://arxiv.org/abs/2412.11732v1
🌟 Dataset: www2.statmt.org/wmt24/literary-trans
@Machine_learn
🌟 Dataset: www2.statmt.org/wmt24/literary-trans
@Machine_learn
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تنها نفر ۴ ام از این کار مشترک باقی مونده
شروع کار ۱ دی ماه هستش. جهت همکاری به ایدی بنده پیام بدین.
@Raminmousa
شروع کار ۱ دی ماه هستش. جهت همکاری به ایدی بنده پیام بدین.
@Raminmousa
⏩SmolLM2-1.7B
⏩SmolLM2-360M
⏩SmolLM2-135M
from transformers import AutoModelForCausalLM, AutoTokenizer
checkpoint = "HuggingFaceTB/SmolLM2-1.7B"
device = "cuda" # for GPU usage or "cpu" for CPU usage
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = AutoModelForCausalLM.from_pretrained(checkpoint).to(device)
inputs = tokenizer.encode("Gravity is", return_tensors="pt").to(device)
outputs = model.generate(inputs)
print(tokenizer.decode(outputs[0]))@Machine_learn
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New o3 OpenAI model is changing the game!
For a long time, ARC was seen as proof that AI models “can’t think.” The argument went: if they truly could, why do they perform so poorly on this benchmark?
Well, those days are over. The o3 model demonstrates not only the ability to think but also the capability to tackle tasks once considered out of reach.
👀 Check out the full breakdown of this breakthrough: https://arcprize.org/blog/oai-o3-pub-breakthrough
It might be time to rethink what AI can achieve. Looking forward to the release!
@Machine_learn
For a long time, ARC was seen as proof that AI models “can’t think.” The argument went: if they truly could, why do they perform so poorly on this benchmark?
Well, those days are over. The o3 model demonstrates not only the ability to think but also the capability to tackle tasks once considered out of reach.
👀 Check out the full breakdown of this breakthrough: https://arcprize.org/blog/oai-o3-pub-breakthrough
It might be time to rethink what AI can achieve. Looking forward to the release!
@Machine_learn
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Probability, Random Processes, and Statistical Analysis Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance
📕 Book
@Machine_learn
📕 Book
@Machine_learn
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New research papers and github codes
🟢 Motivo
🟡 Paper 🟡 Demo 🟡 Github
🟢 Video Seal
🟡 Paper 🟡 Demo 🟡 Github
🟢 Flow Matching
🟡 Paper 🟡 Github
🟢 Explore Theory-of-Mind
🟡 Paper 🟡 Github 🟡 Dataset
🟢 Large Concept Model (LCM)
🟡 Paper 🟡 Github
🟢 Dynamic Byte Latent Transformer
🟡 Paper 🟡 Github
🟢 Memory Layers.
🟡 Paper 🟡 Github
🟢 EvalGym
🟡 Paper 🟡 Github
🟢 CLIP 1.2
🟡 Paper 🟡 Github 🟡 Dataset 🟡 Model
@Machine_learn
@Machine_learn
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Meta
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models | Research - AI at Meta
Unsupervised reinforcement learning (RL) aims at pre-training agents that can solve a wide range of downstream tasks in complex environments. Despite...