Jun 5, 2024 | AI Technologies
RAG, or Retrieval-Augmented Generation, is a technique used in the context of large language models (LLMs) to enhance their performance, especially for tasks requiring access to up-to-date or extensive domain-specific knowledge. RAG combines two key components: a...
Jun 4, 2024 | AI Technologies
Chain of Thought (CoT) in the context of large language models (LLMs) refers to a prompting technique that encourages the model to generate intermediate reasoning steps before arriving at a final answer. This approach aims to improve the model’s reasoning...
Jun 1, 2024 | AI Technologies
To gain a deep understanding of AI model limitations, including biases, ethics, and performance boundaries, you need to engage in a combination of theoretical learning, practical experience, and continuous evaluation. Here’s a structured approach:...
Jun 1, 2024 | AI Technologies
p>Defining yourself as a prompt engineer involves articulating your skills, experiences, and expertise in creating and refining prompts for AI models, particularly language models like GPT-4. Here are steps and tips to effectively define yourself as a prompt engineer:...
Jun 11, 2023 | AI Technologies
1. Introduction: Generative AI, a fascinating and groundbreaking field in artificial intelligence, is creating ripples across various industries. Understanding its rapid growth and increasing popularity requires delving deep into its roots. Definition and Brief...
Jun 11, 2023 | AI Technologies
Comprehensive Learning Roadmap to Mastering Generative AI The advent of Generative AI has undeniably marked a significant stride in the realm of artificial intelligence. This exciting technology presents limitless potential and is capable of tasks that were, until...
