How to build a GPT model?
GPT is the first generalized language model ever created in the history of natural language processing that can be used for various NLP tasks. Discover how to build a GPT model in this step-by-step guide.
Data annotation: The key to AI model accuracy
Data annotation is adding labels or tags to a training dataset to provide context and meaning to the data.
Optimizing pre-trained models: A guide to Parameter-efficient Fine-tuning (PEFT)
Parameter-efficient Fine-tuning (PEFT) is a technique used in Natural Language Processing (NLP) to improve the performance of pre-trained language models on specific downstream tasks.
How to build a private LLM?
Language models are the backbone of natural language processing (NLP) and have changed how we interact with language and technology.
Auto-GPT: Unleashing the power of autonomous AI agents
Auto-GPT is an autonomous tool that allows large language models (LLMs) to operate autonomously, enabling them to think, plan and execute actions without constant human intervention.
Exploratory Data Analysis (EDA)
EDA allows for exploring and examining data for important insights before the actual data analysis process begins. Check out this article to explore the importance, process and techniques of EDA.
Generative AI for enterprises: The architecture, its implementation and implications
By understanding the architecture of generative AI, enterprises can make informed decisions about which models and techniques to use for different use cases.
Reinforcement learning from human feedback (RLHF) : A comprehensive overview
Reinforcement learning from human feedback (RLHF) is a machine learning approach that leverages a combination of human feedback and reinforcement learning to train AI models.
Getting started with Generative AI: A beginner’s guide
By automating simple tasks, creating high-quality content, and even addressing complex medical issues, generative AI has already begun to revolutionize industries across the board.
What role do embeddings play in a ChatGPT-like model?
Embeddings are a powerful tool for improving the accuracy and efficiency of machine learning models, enabling them to better capture the nuances and complexities of language.
Visual ChatGPT: The next frontier of conversational AI
AI-powered Visual ChatGPT employs deep learning and natural language processing to respond to user queries based on visual input, such as pictures or videos.
How is a Vision Transformer model (ViT) built and implemented?
Unlike Convolutional Neural Networks (CNNs), ViT uses self-attention processes to extract information from pictures, making it an excellent tool for image identification and segmentation.
How to build an AI-powered recommendation system?
Recommendation systems use machine learning algorithms to provide users with personalized recommendations for products, services, or information based on their behavior, preferences, and history.