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Elenco dei risultati
- LLM-as-a-judge + (LLM-as-a-judge)
- Modello linguistico di grandi dimensioni + (Large Language Model)
- Llama + (Large Language Model Meta AI)
- Modello di Diffusione Latente (LDM) + (Latent Diffusion Model)
- LayerNorm + (LayerNorm)
- LeNet + (LeNet)
- LoRA + (LoRA)
- Logit (Reti Neurali) + (Logit)
- Long Short-Term Memory (LSTM) + (Long Short-Term Memory)
- Funzione Obiettivo (loss) + (Loss Function)
- Masked-Language-Modeling (MLM) + (Masked-Language-Modeling)
- Mistral + (Mistral)
- MiDaS + (Multi-scale Deep Stereo)
- NETtalk + (NETtalk)
- Elaborazione del Linguaggio Naturale (NLP) + (Natural Language Processing)
- Negative log-likelihood + (Negative log-likelihood)
- One-hot encodings + (One-hot encodings)
- Ontologia (Informatica) + (Ontology)
- Optimizer (Reti Neurali) + (Optimizer)
- Numero di Parametri nelle Reti Neurali + (Parameters in Neural Networks)
- PaLM + (Pathways Language Model)
- Povertà dello stimolo (Linguistica) + (Poverty of stimulus)
- Dataset di Preferenze + (Preferences Dataset)
- Quantizzazione + (Quantization)
- Reasoning Gap + (Reasoning Gap)
- Rete Neurale Ricorrente (RNN) + (Recurrent Neural Networks)
- Apprendimento per rinforzo da feedback umano + (Reinforcement Learning From Human Feedback)
- Rete Neurale Residua (ResNet) + (Residual Neural Network)
- Macchine di Boltzmann Restrittive (RBM) + (Restricted Boltzmann Machine)
- Scaling Laws + (Scaling Laws)
- SentencePiece + (SentencePiece)
- Sequence to Sequence (seq2seq) + (Sequence to Sequence Model)
- Set-of-Mark Prompting + (Set-of-Mark Prompting)
- Sigmoide + (Sigmoid)
- Softmax + (Softmax)
- Stable Diffusion + (Stable Diffusion)
- SOTA + (State Of The Art)
- Step by Step + (Step by Step)
- StyleGAN + (StyleGAN)
- Teacher Forcing (Reti Neurali) + (Teacher Forcing)
- Temperatura (Apprendimento Automatico) + (Temperature)
- Tensore (Informatica) + (Tensor)
- Transformer (Architettura di Deep Learning) + (Transformer)
- Vision Transformer (ViT) + (Vision Transformer)
- VGG16 (ConvNet) + (Visual Geometry Group 16)
- Zero 1-to-3 + (Zero 1-to-3)