Inference Few- shot learning Tokens Tuning Diffusion Model Unsupervised Learning Semantic Network Ethical AI Domain- Specific Model Free! Adversarial Training Parameters Variational autoencoder (VAE) AI Bias Adversarial network Backpropagation Overfitting Training Named Entity Recognition (NER) Bilingual Evaluation Understudy (BLEU) Annotation Part-of- Speech tagging (POS ) AI Governance Data Science Automated machine learning (AutoML) Neural Machine Translation (NMT) Hierarchical Models Agents Reinforcement Learning (RL) Deep Learning Generative Pre-Trained Transformers (GPT) Sampling Model Encoder Fine- tuning Generative adversarial network (GAN) Transformer Model Encoder- Decoder Architecture Prompt Engineering Conditional Generation Tokenization Machine Learning (ML) Neural Networks One- Shot Learning Hallucinations Latent space Ensemble Learning Self- attention Prompt Conversational AI Transfer Learning Temperature Foundational Model Generative model Embedding Human- in-the- Loop (HITL) Zero- Shot Learning Algorithm: Recurrent Neural Networks (RNNs) Autoencoder Generalization Supervised learning Natural Language Generation (NLG) Retrieval Augmented Generation (RAG) Bias Natural Language Programming (NLP) Date augmentation Large Language Model (LLMs) Inference Few- shot learning Tokens Tuning Diffusion Model Unsupervised Learning Semantic Network Ethical AI Domain- Specific Model Free! Adversarial Training Parameters Variational autoencoder (VAE) AI Bias Adversarial network Backpropagation Overfitting Training Named Entity Recognition (NER) Bilingual Evaluation Understudy (BLEU) Annotation Part-of- Speech tagging (POS ) AI Governance Data Science Automated machine learning (AutoML) Neural Machine Translation (NMT) Hierarchical Models Agents Reinforcement Learning (RL) Deep Learning Generative Pre-Trained Transformers (GPT) Sampling Model Encoder Fine- tuning Generative adversarial network (GAN) Transformer Model Encoder- Decoder Architecture Prompt Engineering Conditional Generation Tokenization Machine Learning (ML) Neural Networks One- Shot Learning Hallucinations Latent space Ensemble Learning Self- attention Prompt Conversational AI Transfer Learning Temperature Foundational Model Generative model Embedding Human- in-the- Loop (HITL) Zero- Shot Learning Algorithm: Recurrent Neural Networks (RNNs) Autoencoder Generalization Supervised learning Natural Language Generation (NLG) Retrieval Augmented Generation (RAG) Bias Natural Language Programming (NLP) Date augmentation Large Language Model (LLMs)
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Inference
Few-shot learning
Tokens
Tuning
Diffusion Model
Unsupervised Learning
Semantic Network
Ethical AI
Domain-Specific Model
Free!
Adversarial Training
Parameters
Variational autoencoder (VAE)
AI Bias
Adversarial network
Backpropagation
Overfitting
Training
Named Entity Recognition (NER)
Bilingual Evaluation Understudy (BLEU)
Annotation
Part-of-Speech tagging (POS )
AI Governance
Data Science
Automated machine learning (AutoML)
Neural Machine Translation (NMT)
Hierarchical Models
Agents
Reinforcement Learning (RL)
Deep Learning
Generative Pre-Trained Transformers (GPT)
Sampling
Model
Encoder
Fine-tuning
Generative adversarial network (GAN)
Transformer Model
Encoder-Decoder Architecture
Prompt Engineering
Conditional Generation
Tokenization
Machine Learning (ML)
Neural Networks
One-Shot Learning
Hallucinations
Latent space
Ensemble Learning
Self-attention
Prompt
Conversational AI
Transfer Learning
Temperature
Foundational Model
Generative model
Embedding
Human-in-the-Loop (HITL)
Zero-Shot Learning
Algorithm:
Recurrent Neural Networks (RNNs)
Autoencoder
Generalization
Supervised learning
Natural Language Generation (NLG)
Retrieval Augmented Generation (RAG)
Bias
Natural Language Programming (NLP)
Date augmentation
Large Language Model (LLMs)
