What is Distributional Semantics? Understanding the meaning of words has always been a fundamental challenge in natural language processing (NLP). How do we decipher the intricate nuances of...
![Distributional Semantics Simplified & 7 Techniques [How To Understand Language]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/03/distributional-semantics.jpg?fit=1200%2C675&ssl=1)
The Natural Language Processing (NLP) Blog
Topic: Natural Language Processing
![Natural Language Search Explained [10 Powerful Tools & How To Tutorial In Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2022/10/Ontwerp-zonder-titel-8.jpg?fit=600%2C338&ssl=1)
Natural Language Search Explained [10 Powerful Tools & How To Tutorial In Python]
What is Natural Language Search? Natural language search refers to the capability of search engines and other information retrieval systems to understand and interpret human language in its natural...
![The BERT Algorithm (NLP) Made Simple [Understand How Large Language Models (LLMs) Work]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/02/self-attention-example-1.jpg?fit=1200%2C675&ssl=1)
The BERT Algorithm (NLP) Made Simple [Understand How Large Language Models (LLMs) Work]
What is BERT in the context of NLP? In Natural Language Processing (NLP), the quest for models genuinely understanding and generating human language has been a longstanding challenge. One...
Fact-Checking With Large Language Models (LLMs): Is It A Powerful NLP Verification Tool?
Can a Machine Tell a Lie? Picture this: you're scrolling through social media, bombarded by claims about the latest scientific breakthrough, political scandal, or celebrity gossip. Each post seems...
![How To Implement Speech Recognition [3 Ways & 7 Machine Learning Models]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/speech-recognition.jpg?fit=1200%2C675&ssl=1)
How To Implement Speech Recognition [3 Ways & 7 Machine Learning Models]
What is Speech Recognition? Speech recognition, also known as automatic speech recognition (ASR) or voice recognition, is a technology that converts spoken language into written text. The primary...
![Conversational AI Explained: Top 9 Tools & How To Guide [Including GPT]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/key-components-of-conversational-ai.jpg?fit=1440%2C810&ssl=1)
Conversational AI Explained: Top 9 Tools & How To Guide [Including GPT]
What is Conversational AI? Conversational AI, short for Conversational Artificial Intelligence, refers to using artificial intelligence and natural language processing (NLP) technologies to enable...
![Top 10 Most Useful Natural Language Processing (NLP) Tools [Libraries & Frameworks] LLMs Included](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/nlp-tools.jpg?fit=1200%2C675&ssl=1)
Top 10 Most Useful Natural Language Processing (NLP) Tools [Libraries & Frameworks] LLMs Included
What are Common Natural Language Processing (NLP) Tools? Natural Language Processing (NLP) tools are software components, libraries, or frameworks designed to facilitate the interaction between...
Computational Linguistics: An Easy Explanation With Examples, Advancements & Future Trends
What is Computational Linguistics? Computational linguistics is an interdisciplinary field that combines principles of linguistics and computer science to develop computational models and algorithms...
Entity Resolution Explained: Top 12 Techniques, Practical Guide & 5 Pythons/R Libraries
What is Entity Resolution? Entity resolution, also known as record linkage or deduplication, is a process in data management and data analysis where records that correspond to the same entity across...
![Coreference Resolution In Natural Language Processing (NLP) Simplified [8 Powerful Techniques & 2 Models]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/coreference-resolution-nlp.jpg?fit=1200%2C675&ssl=1)
Coreference Resolution In Natural Language Processing (NLP) Simplified [8 Powerful Techniques & 2 Models]
What is Coreference Resolution in NLP? Coreference resolution is a crucial aspect of Natural Language Processing (NLP) that involves identifying and linking expressions in text that refer to the...
Universal Sentence Encoder Explained & How To TensorFlow Tutorial
What is a Universal Sentence Encoder? The Universal Sentence Encoder (USE) is a powerful tool in natural language processing (NLP) developed by Google. Its primary function is to transform textual...
LLMOps: What Is It and How To Implement Best Practices
What is LLMOps? The world of artificial intelligence (AI) is constantly evolving, with new advancements emerging at an unprecedented pace. The rise of large language models (LLMs) is among the most...
Embeddings from Language Models (ELMo): Contextual Embeddings A Powerful Shift In NLP
What are Embeddings from Language Models (ELMo)? ELMo, short for Embeddings from Language Models, revolutionized the landscape of NLP by introducing contextual embeddings, a paradigm shift from...
Data2vec Explained: The Fusion Of Text, Image & Audio To Create Powerful AI Systems
What is Data2vec? Meta AI has introduced Data2vec, a groundbreaking framework for self-supervised learning that transcends the barriers between different data modalities. Data2vec proposes a unified...
Multimodal Natural Language Processing (NLP): The Next Powerful Shift In AI
What is Multimodal NLP? Multimodal NLP refers to the intersection of natural language processing (NLP) with other data or modalities, such as images, videos, audio, and sensor data. Traditional NLP...
![Self-Supervised Learning Made Simple [How To Train Powerful ML Models]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/12/pretext-tasks.jpg?fit=1200%2C675&ssl=1)
Self-Supervised Learning Made Simple [How To Train Powerful ML Models]
What is Self-Supervised Learning? Self-supervised learning (SSL) is a machine learning technique where a model learns representations or features directly from the input data without explicit...
Representation Learning Made Simple & Top 10 Machine Learning And Deep Learning Models
What is Representation Learning? Representation learning is a cornerstone in artificial intelligence, fundamentally altering how machines comprehend intricate data. Its core objective lies in...
Prototypical Networks Explained, Compared To Other Networks & How To Tutorial In PyTorch
What is a Prototypical Network? At its core, Prototypical Networks represent a groundbreaking approach to tackling the complexities of classification problems, especially in scenarios where labelled...
