Pagina principale

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Aiuto

Architetture

 NomeIngleseSiglaAnnoDiCreazione
AutoencoderAutoencoder1993
BARTBidirectional and Auto-Regressive TransformersBART29 ottobre 2019
Contrastive Language-Image Pretraining (CLIP)Contrastive Language-Image PretrainingCLIP2021
ControlNetControlNetControlNetfebbraio 2023
Detection TransformerDetection TransformerDeTr2020
Extended Long Short-Term MemoryExtended Long Short-Term MemoryxLSTM2024
Long Short-Term Memory (LSTM)Long Short-Term MemoryLSTM1997
Macchine di Boltzmann Restrittive (RBM)Restricted Boltzmann MachineRBM1986
MiDaSMulti-scale Deep StereoMiDaS2019
Mixture of Experts
Modello di Diffusione Latente (LDM)Latent Diffusion ModelLDM2021
Modello linguistico di grandi dimensioni per il linguaggio parlato
Rete Generativa AvversariaGenerative Adversarial NetworkGAN2014
Rete Neurale Artificiale (ANN)Artificial Neural NetworkANN1957
Rete Neurale Feed-Forward (FNN)Feed-Forward Neural NetworkFNN1958
Rete Neurale Residua (ResNet)Residual Neural NetworkResNet2015
Rete Neurale Ricorrente (RNN)Recurrent Neural NetworksRNN1990
Reti Neurali Convoluzionali (CNN)Convolutional Neural NetworksCNN1995
Sequence to Sequence (seq2seq)Sequence to Sequence Modelseq2seq2014
Transformer (Architettura di Deep Learning)Transformer2017
Vision Transformer (ViT)Vision TransformerViT2021

Modelli

 SiglaAnnoDiCreazioneVersioneCorrenteBasatoSu
AlexNet2012
AlpacaAlpaca2023
AlphaFold
BERTBERT2018
Biaxial LSTM (DeepJ - musica)Biaxial LSTMLong Short-Term Memory (LSTM)
ConceptNet
Contriever
DeepDream18 giugno 2015
GLoVeGLoVe2014GLoVe v.1.2 (2015)
Generative Pretrained Transformer (GPT)GPT2018GPT-4o (2024)
GoogLeNet
Gorilla OpenFunctions2023Architettura dei Large Language Models (LLM)
InstructGPTInstructGPT27 gennaio 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions2023
LeNet1995LeNet-5
LlamaLLaMA20213.0
MistralMistral2023
NETtalk1993
O1
OpenAI o1
PaLMPaLM2022PaLM 2 (2023)
SPLADE
Stable Diffusion2022SD3 (2023)
StyleGANStyleGAN2019StyleGAN 3 (2021)
VGG16 (ConvNet)VGG162014
XLM-RoBERTaXLM-RoBERTa2020
Zero 1-to-32023

Benchmark

Un benchmark, nel contesto dell'IA, è tipicamente un test o un insieme di test progettati per valutare le prestazioni di un modello o di un algoritmo di intelligenza artificiale in compiti specifici. Questo spesso include l'uso di uno o più dataset standardizzati su cui diversi modelli possono essere addestrati e valutati, ma va oltre alla mera disponibilità di dati. Il concetto di benchmark incorpora anche metriche di valutazione specifiche, criteri e, a volte, l'ambiente software/hardware per garantire che le prestazioni possano essere confrontate equamente tra differenti approcci. Mentre un dataset può essere utilizzato come parte di un benchmark, quest'ultimo è un concetto più ampio che include non solo i dati, ma anche le procedure e le metriche per la valutazione delle prestazioni.

 NomeSiglaAnnoDiCreazione
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction (CLINC150)An Evaluation Dataset for Intent Classification and Out-of-Scope PredictionCLINC1502019
BABILongBABILong2024
Bilingual Evaluation Understudy (BLEU)BiLingual Evaluation UnderstudyBLEU2002
BoolQBoolean QuestionsBoolQ2019
Cross-lingual Transfer Evaluation of Multilingual Encoders (XTREME)Cross-lingual Transfer Evaluation of Multilingual EncodersXTREME2020
Discrete Reasoning Over Paragraphs (DROP)DROPDROP2019
DocRED: A Large-Scale Document-Level Relation Extraction DatasetA Large-Scale Document-Level Relation Extraction DatasetDocRED2019
GSM8KGrade School Math 8KGSM8K2022
General Language Understanding Evaluation (GLUE)General Language Understanding EvaluationGLUE2018
HMDB: a large human motion databaseA large human motion databaseHMDB2011
HellaSwagHellaSwagHellaSwag2019
HumanEvalHumanEval2021
ImageNet Large Scale Visual Recognition ChallengeImageNet Large Scale Visual Recognition ChallengeILSVRC2012
LAION-5BLarge-scale Artificial Intelligence Open Network-5 BillionLAION-5B2021
LongAlignLongAlign2024
MATHMATH2021
MBPPMostly Basic Programming ProblemsMBPP2021
MMLUMassive Multitask Language UnderstandingMMLU2021
MS COCOMicrosoft Common Objects in ContextMS COCO2014
Microsoft Machine Reading Comprehension (MS MARCO)
Mind2WebMind2WebMind2Web2023
NaturalQuestionsNaturalQuestions2019
QuACQuestion Answering in ContextQuAC2018
SQuADStanford Question Answering DatasetSQuAD2018
Schema di Winograd
Semantic Textual Similarity (STS)Semantic Textual SimilaritySTS2012
UCF101 - Action Recognition Data SetAction Recognition Data SetUCF1012013
WinoGrandeWinoGrande2019

Pubblicazioni

 TitoloAutoreAnnoDiPubblicazione
A Comprehensive Overview of Large Language Models
A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques
A Focused Backpropagation Algorithm for Temporal Pattern Recognition
A Large-Scale Document-Level Relation Extraction Dataset
A Neural Algorithm of Artistic Style (2015)
A Neural Probabilistic Language Model
A Theory for Emergence of Complex Skills in Language Models (2023)
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
An algorithm for suffix stripping
Are Large Language Models Geospatially Knowledgeable?
Are Sixteen Heads Really Better than One?
Are We Done with MMLU?
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
Attention Is All You Need (2017)
Automatic Stylistic Composition of Bach Chorales With Deep LSTM (2017)
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
BERT Rediscovers the Classical NLP Pipeline
BERT for Classification: Beyond the Next Sentence Prediction TaskBERT for Classification: Beyond the Next Sentence Prediction TaskDivyanshu Dimri2023
BLEU: a method for automatic evaluation of machine translation
COIL: Revisit exact lexical match in information retrieval with contextualized inverted list
Chain of Thought Prompting Elicits Reasoning in Large Language Models
Classifier-Free Diffusion Guidance
Context-Aware Term Weighting For First Stage Passage Retrieval
Convolutional Neural Networks for Sentence Classification
Crawling the Internal Knowledge-Base of Language Models
Dall-e 3 (2023)
Decoding Intelligence: A Framework for Certifying Knowledge Comprehension in LLMs
Deep Contextualized Word Representations
Deep Convolutional Neural Networks (AlexNet)
Deep Reinforcement Learning from Human Preferences
Deep Residual Learning for Image Recognition
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
DeepJ: Style-Specific Music Generation (2018)
Dense Passage Retrieval for Open-Domain Question Answering
Diffusion Models Beat GANs on Image Synthesis
Efficient Estimation of Word Representations in Vector Space
Emergent Abilities of Large Language Models
End-to-End Object Detection with Transformers
Estimating Knowledge in Large Language Models Without Generating a Single Token
FANNG: Fast Approximate Nearest Neighbour Graphs
Fast Inference from Transformers via Speculative Decoding
Finding Structure in Time
Finite State Automata and Simple Recurrent Networks
Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap
Functional Decision Theory: A New Theory of Instrumental Rationality
GPT-4 Technical Report
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks (2014)
Generative Adversarial Nets
… risultati successivi

NLP (Natural Language Processing)

Musica

MIDI

Concetti

 NomeIngleseSigla
Ablation (Intelligenza Artificiale)Ablation
Adversarial EndingsAdversarial Endings
Adversarial Filtering (AF)Adversarial FilteringAF
Allucinazione
Apprendimento Auto-Supervisionato
Apprendimento per rinforzo da feedback umanoReinforcement Learning From Human FeedbackRLHF
Attention (Machine Learning)Attantion
Byte-Pair Encoding (BPE)Byte-Pair EncodingBPE
Capacità Emergenti
Causal Language Modeling (CLM)Causal Language ModelingCLM
Chain of ThoughtChain of ThoughtCoT
Confabulazione
ConnessionismoConnectionism
Contamination TestingContamination Testing
Convinzione (Belief)
Dataset di PreferenzePreferences Dataset
Distillazione Della ConoscenzaKnowledge DistillationKD
Dropout (Reti Neurali)Dropout
Effetto Dunning-Kruger
Few-shot learningFew-shot learning
Fine-tuningFine-tuningSFT
Forward pass
Function CallingFunction Calling
Funzione Obiettivo (loss)Loss Function
Funzione di attivazioneActivation function
Generalizzazione zero-shot
GrokkingGrokking
Kernel di convoluzioneConvolution kernel
LLM-as-a-judgeLLM-as-a-judge
LayerNormLayerNormLayerNorm
Libero Arbitrio
LoRALoRA
Logit (Reti Neurali)Logit
Masked-Language-Modeling (MLM)Masked-Language-ModelingMLM
Mean Reciprocal Rank
Metodi di DecodingDecoding Methods
Modello GenerativoGenerative Model
Modello linguistico di grandi dimensioniLarge Language ModelLLM
Negative log-likelihoodNegative log-likelihood
Non-Maximum Suppression
Numero di Parametri nelle Reti NeuraliParameters in Neural Networks
Obiettivo di pre-training
One-hot encodingsOne-hot encodings
Ontologia (Informatica)Ontology
Optimizer (Reti Neurali)Optimizer
Povertà dello stimolo (Linguistica)Poverty of stimulus
Prefix-Tuning
Problema difficile della coscienza
Prompt Injection
Prompting
… risultati successivi

Matematica

Apprendimento

Esecuzione e Inferenza

  • Quantizzazione: Riduzione della precisione dei numeri per accelerare l'esecuzione dei modelli.
  • Metodi di Decoding: Tecniche per generare output dai modelli di linguaggio.

Benchmarking

Ragionamento negli LLM (Large Language Models)

Dataset

Benchmarks

Modelli di Linguaggio

Benchmark Aggregati

Capacità di Ragionamento

  • HellaSwag
  • DROP
  • WinoGrande - Sakaguchi et al., 2021
  • Arc C
  • PIQA - Bisk et al., 2020
  • SIQA - Sap et al., 2019
  • CommonsenseQA - Talmor et al., 2018

Conoscenza

Codice

Comprensione del Testo

  • SQuAD - Rajpurkar et al., 2018
  • QuAC - Choi et al., 2018
  • BoolQ - Clark et al., 2019)
  • LongAlign - Yushi Bai et al., 2024
  • BABILong - Yuri Kuratov et al., 2024

Matematica

  • GSM8K - Cobbe et al., 2021
  • MATH - Hendrycks et al., 2021

Embeddings

  • MIRACL
  • MTEB

Video

Servizi Cloud

Google

Tutorial AI Lab

PyTorch

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