AI Algorithms for Languages
AI algorithms for natural languages form the backbone of natural language processing (NLP) systems, enabling machines to understand, generate, and manipulate human language data. These algorithms cover a wide spectrum of tasks, including word embedding models like Word2Vec and GloVe for representing words in vector space, advanced models like BERT and GPT for contextual understanding, and various sequence-to-sequence models for tasks like machine translation and text summarization. Additionally, sentiment analysis, named entity recognition, part-of-speech tagging, and question answering models contribute to the breadth and depth of language understanding capabilities. With applications in chatbots, language translation, sentiment analysis, and more, these algorithms play a vital role in unlocking the potential of human-computer interaction and language understanding.
- Word Embedding Models
- Part-of-Speech (POS) Tagging & Named Entity Recognition (NER)
- Hidden Markov Models (HMM)
- Conditional Random Fields (CRF)
- BiLSTM-CRF Models
- Transformer-based POS Tagging Models
- Sentiment Analysis
- Sentiment Analysis using RNN
- Sentiment Analysis using LSTM
- Sentiment Analysis using CNN
- Sentiment Classification using BERT
- Topic Modeling Algorithms
- Latent Dirichlet Allocation (LDA)
- Latent Semantic Analysis (LSA)
- Non-Negative Matrix Factorization (NMF)
- Hierarchical Dirichlet Process (HDP)
- Machine Translation
- Machine Translation using Transformer
- Google Neural Machine Translation (GNMT)
- OpenNMT
- MarianMT
- Fairseq
- Text Summarization
- Pointer-Generator Networks
- Seq2Seq Models for Text Summarization
- Text Summarization using BART
- Abstractive Summarization with PEGASUS
- GPT-based text summarization
- Text Generation Models
- Sentence Autocomplete using LSTM
- BART Model for Text Auto Completion
- Text Generation using RNN
- Text Generation using GRU
- Text Generation using Fnet
- Grammatical Error Correction with Transformer
- Question Answering Models
- T5 (Text-To-Text Transfer Transformer)
- Transformer-XL
- XLNet
- RoBERTa
- GPT (Generative Pre-trained Transformer)
Artificial Intelligence (AI) Algorithms
Artificial Intelligence (AI) is revolutionizing industries, transforming the way we interact with technology. With a growing interest in mastering AI, we’ve crafted a tutorial on AI algorithms, based on extensive research in the field. This tutorial covers core algorithms that serve as the backbone of artificially intelligent systems.