Proprietà:Topic

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L
LAION-5B: An open large-scale dataset for training next generation image-text models +
Computer Vision  +
LLaMA: Open and Efficient Foundation Language Models +
Linguaggio naturale  +
Language Models are Few-Shot Learners +
Modelli Linguistici  +, Few-Shot Learning  +
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling (16/02/2024) +
Dialogue State Tracking  +
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation +
Traduzione automatica  +
Learning Transferable Visual Models From Natural Language Supervision +
I modelli di AI possono apprendere a comprendere e interpretare immagini utilizzando descrizioni fornite in linguaggio naturale  +, Invece che attraverso delle tradizionali etichette  +
Learning long-term dependencies with gradient descent is difficult +
Recurrent Neural Networks  +, Reti Neurali Ricorrenti  +
Long Short-Term Memory +
Reti Neurali Ricorrenti  +
Long Short-Term Memory (LSTM) +
Sequenze  +
LongAlign: A Recipe for Long Context Alignment of Large Language Models +
Long Context Alignment  +
M
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation +
Modelli di embedding  +
Massive Multitask Language Understanding +
Misurazione della comprensione linguistica multitask su larga scala  +
MemGPT: Towards LLMs as Operating Systems +
Large Language Models (LLM)  +
MiDaS +
Immagini  +, Classificazione  +
MiDaS v3.1 – A Model Zoo for Robust Monocular Relative Depth Estimation +
Stima della profondità  +
Modello di Diffusione Latente (LDM) +
Immagini  +, Video  +
N
Neural Machine Translation by Jointly Learning to Align and Translate +
Neural Machine Translation  +
Neural networks and physical systems with emergent collective computational abilities +
Reti neurali  +
None +
Word embedding  +
O
On the difficulty of training recurrent neural networks +
Reti Neurali Ricorrenti  +
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