Large Language Models

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…

3 years ago

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…

3 years ago

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…

3 years ago

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…

3 years ago

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.…

3 years ago

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…

3 years ago

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…

3 years ago

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…

3 years ago

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…

3 years ago