What are Generative Models? In the ever-evolving landscape of artificial intelligence, generative models have emerged as one of AI technology's most captivating and creative facets. These models are...
The Natural Language Processing (NLP) Blog
Topic: Large Language Models
![Pre-Trained Models Complete Guide [How To & 21 Top Models In PyTorch, TensorFlow & HuggingFace]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/10/pre-trained-models.jpg?fit=960%2C540&ssl=1)
Pre-Trained Models Complete Guide [How To & 21 Top Models In PyTorch, TensorFlow & HuggingFace]
Understanding Pre-Trained Models Pre-trained models have become a game-changer in artificial intelligence and machine learning. They offer a shortcut to developing highly capable models for various...
One-shot Learning Explained, How It Works & How To Tutorial In Python
What is one-shot learning? One-shot learning is a machine learning paradigm that trains models to recognize new objects or patterns based on a single example or a minimal number of examples....
![Zero-shot Classification [Top 6 Models, How To Tutorial In Python & Alternatives]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/08/zero-shot-classification.jpg?fit=1200%2C675&ssl=1)
Zero-shot Classification [Top 6 Models, How To Tutorial In Python & Alternatives]
What is zero-shot classification? Zero-shot classification is a machine learning approach in which a model can classify data into multiple classes without any specific training examples for those...
Open Source Large Language Models (LLM) – Top 10 Most Powerful To Consider In 2024
What are open-source large language models? Open-source large language models, such as GPT-3.5, are advanced AI systems designed to understand and generate human-like text based on the patterns and...
Fine-tuning GPT-3: How To Tutorial In Python With Hugging Face
What is GPT-3? GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language model developed by OpenAI, a leading artificial intelligence research organization. GPT-3 is a deep neural...
Top 20 Most Powerful Large Language Models For NLP Tasks & Transfer Learning In 2024
Natural Language Processing (NLP) has become an essential area of research and development in Artificial Intelligence (AI) in recent years. NLP models have been designed to help computers...
How To Apply Transfer Learning To Large Language Models (LLMs) — Detailed Explanation & Tutorial To Fine Tune A GPT-3 model
What is transfer learning for large language models (LLMs)? Their Advantages, disadvantages, different models available and applications in various natural language processing (NLP) tasks. Followed...
Top 10 Natural Language Processing (NLP) Research Papers Worth Reading For Beginners
Reading research papers is integral to staying current and advancing in the field of NLP. Research papers are a way to share new ideas, discoveries, and innovations in NLP. They also give a more...
![How To Implement Transformers For Natural Language Processing (NLP) [4 Python Tutorials]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/01/transformers.jpg?fit=1024%2C576&ssl=1)
How To Implement Transformers For Natural Language Processing (NLP) [4 Python Tutorials]
Transformers Implementations in TensorFlow, PyTorch, Hugging Face and OpenAI's GPT-3 What are transformers in natural language processing? Natural language processing (NLP) is a field of artificial...
NLP Transfer Learning Made Easy, Top 5 Models & How To Use Them
Transfer learning is explained, and the advantages and disadvantages are summed up. Types of transfer learning in NLP are summed up, and a list of the top models commonly used for transfer learning...
