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Vengono mostrati sotto 50 risultati dal 51 al 100.
- (cron) Utilizzare le API di OpenAI [3 350 byte]
- (cron) Adversarial Filtering (AF) [3 346 byte]
- (cron) SPLADE [3 338 byte]
- (cron) Attention Is All You Need (2017) [3 271 byte]
- (cron) CAMEL (Agent Framework) [3 111 byte]
- (cron) Proximal Policy Optimization (PPO) [3 057 byte]
- (cron) Neural Information Retrieval [3 041 byte]
- (cron) Llama [3 023 byte]
- (cron) Rete Generativa Avversaria [2 969 byte]
- (cron) Temperatura (Apprendimento Automatico) [2 940 byte]
- (cron) Test-Time Compute Scaling [2 857 byte]
- (cron) Is Power-Seeking AI an Existential Risk? [2 833 byte]
- (cron) Dropout (Reti Neurali) [2 818 byte]
- (cron) Function Calling [2 805 byte]
- (cron) Magenta [2 791 byte]
- (cron) Transformer (Architettura di Deep Learning) [2 777 byte]
- (cron) FANNG: Fast Approximate Nearest Neighbour Graphs [2 771 byte]
- (cron) BABILong [2 724 byte]
- (cron) A Theory for Emergence of Complex Skills in Language Models (2023) [2 715 byte]
- (cron) BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension [2 712 byte]
- (cron) Dialogue State Tracking [2 691 byte]
- (cron) Convinzione (Belief) [2 659 byte]
- (cron) General Language Understanding Evaluation (GLUE) [2 640 byte]
- (cron) Adversarial Endings [2 632 byte]
- (cron) Mistral [2 526 byte]
- (cron) LoRA [2 513 byte]
- (cron) Apprendimento Auto-Supervisionato [2 495 byte]
- (cron) Neural Machine Translation by Jointly Learning to Align and Translate [2 495 byte]
- (cron) Reti Neurali Convoluzionali (CNN) [2 445 byte]
- (cron) Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models [2 411 byte]
- (cron) Hypernetworks [2 326 byte]
- (cron) Natural language inference (NLI) [2 313 byte]
- (cron) Alpaca [2 311 byte]
- (cron) What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? [2 291 byte]
- (cron) Fine-tuning [2 286 byte]
- (cron) Chain of Thought Prompting Elicits Reasoning in Large Language Models [2 255 byte]
- (cron) Training language models to follow instructions with human feedback [2 255 byte]
- (cron) Softmax [2 247 byte]
- (cron) Language Models are Few-Shot Learners [2 180 byte]
- (cron) Training Compute-Optimal Large Language Models [2 172 byte]
- (cron) Povertà dello stimolo (Linguistica) [2 125 byte]
- (cron) Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation [2 073 byte]
- (cron) Metodi di Decoding [2 057 byte]
- (cron) Tensore (Informatica) [2 012 byte]
- (cron) Are Large Language Models Geospatially Knowledgeable? [2 003 byte]
- (cron) Going Deeper with Convolutions [1 980 byte]
- (cron) Scaling Rectified Flow Transformers for High-Resolution Image Synthesis [1 976 byte]
- (cron) None [1 954 byte]
- (cron) Quantizzazione [1 949 byte]
- (cron) Technical Report, Palm 2 [1 916 byte]