What is Computational Linguistics? Computational linguistics is an interdisciplinary field that combines principles of linguistics and computer science to develop computational models and algorithms...
The Natural Language Processing (NLP) Blog
Topic: Natural Language Processing
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...
![What Is FastText? Compared To Word2Vec & GloVe [How To Tutorial In Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/12/continuous-bag-of-words-vs-skip-gram-1.jpg?fit=1200%2C675&ssl=1)
What Is FastText? Compared To Word2Vec & GloVe [How To Tutorial In Python]
What is fastText? fastText, a product of Facebook's AI Research (FAIR) team, represents a remarkable leap forward in natural language processing (NLP). This library, introduced in 2016, builds upon...
How To Implement GloVe Embeddings In Python: 3 Tutorials & 9 Alternatives
What are GloVe Embeddings? GloVe, or Global Vectors for Word Representation, is an unsupervised learning algorithm that obtains vector word representations by analyzing the co-occurrence statistics...
![Generative Artificial Intelligence (AI) Made Simple [Complete Guide With Models & Examples]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/dalle-generated-ai-image.jpg?fit=1200%2C675&ssl=1)
Generative Artificial Intelligence (AI) Made Simple [Complete Guide With Models & Examples]
What is Generative Artificial Intelligence (AI)? Generative artificial intelligence (GAI) is a type of AI that can create new and original content, such as text, music, images, and videos. It is...
![How To Guide To Chat-GPT, GPT-3 & GPT-4 Prompt Engineering [10 Types]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/prompt-engineering-key-aspects.png?fit=960%2C540&ssl=1)
How To Guide To Chat-GPT, GPT-3 & GPT-4 Prompt Engineering [10 Types]
What is GPT prompt engineering? GPT prompt engineering is the process of crafting prompts to guide the behaviour of GPT language models, such as Chat-GPT, GPT-3, GPT-3.5-Turbo, and GPT-4. It...
![How to manage Large Language Models (LLM) — Orchestration Made Simple [5 Frameworks]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/llm-orchestration.jpg?fit=1200%2C675&ssl=1)
How to manage Large Language Models (LLM) — Orchestration Made Simple [5 Frameworks]
What is LLM Orchestration? LLM orchestration is the process of managing and controlling large language models (LLMs) in a way that optimizes their performance and effectiveness. This includes tasks...
Knowledge Graph: How To Tutorial In Python, LLM Comparison & 23 Tools & Libraries
What is a Knowledge Graph? A Knowledge Graph is a structured representation of knowledge that incorporates entities, relationships, and attributes to create a network of interconnected...
![Feature Extraction: Extensive Guide & 3 How To Tutorials [Python, CNN, BERT]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/feature-extraction-cats-dogs-example.jpg?fit=1200%2C675&ssl=1)
Feature Extraction: Extensive Guide & 3 How To Tutorials [Python, CNN, BERT]
What is Feature Extraction in Machine Learning? Feature extraction is a fundamental concept in data analysis and machine learning, serving as a crucial step in the process of transforming raw data...
