Generative AI models often face challenges when asked about facts not covered in their training data. Retrieval Augmented Generation (RAG) addresses this by enhancing an LLM’s available data through the addition of context from an external knowledge base. This allows for accurate answers about proprietary content, recent information, and even live conversations. With RAG, you […]

The Best Way to Think of Prompt Engineering Prompt engineering is the art of crafting questions and instructions to get the most accurate and relevant responses from AI models. It’s a crucial skill for anyone working with AI, whether you’re developing chatbots, automating customer service, or generating content. In this blog we will discuss all […]

Prompt engineering is a critical aspect of designing and refining interactions with AI models. It involves crafting the input prompts to elicit the desired response from the model. This practice is essential for various applications, including chatbots, automated customer service, and content generation. In this blog, we’ll explore In prompt engineering, what are format, length, […]

What is chain of thought prompting ? Chain of thought prompting is a technique used primarily in the field of artificial intelligence and natural language processing. It involves encouraging a model or an individual to think through a problem step-by-step, leading to more accurate and thoughtful responses. This method is particularly useful in complex problem-solving […]

The job market has become increasingly competitive, with numerous positions, tests, and interview stages to navigate. Screening software often automatically disqualifies candidates, making it challenging to get face-to-face time with recruiters. However, AI-powered resume builders can be a valuable ally in your job search. These tools help you create a resume from scratch, optimize an […]

In the field of artificial intelligence (AI), understanding the relationship between different types of models is crucial for grasping their capabilities and applications. Large Language Models (LLMs) are a significant subset of foundation models. This blog provides an overview of LLMs, their connection to foundation models, and their impact on AI development. What are Foundation […]

In the kingdom of artificial intelligence (AI), particularly in natural language processing (NLP), the concept of “context” plays a pivotal role. Context in a prompt helps AI models understand and generate more accurate and relevant responses. This blog explores the goal of using context in prompts, why it is essential, and how it improves the […]

In the rapidly evolving field of artificial intelligence (AI), Large Language Models (LLMs) have emerged as a significant breakthrough. These models, exemplified by technologies like OpenAI’s GPT-4, have revolutionized natural language processing (NLP) and brought us closer to achieving human-like language understanding and generation. This blog post delves into what LLMs are, how they work, […]

Traditional AI, which includes machine learning, expert systems, and neural networks, remains a cornerstone of technological innovation. Its applications span various industries, driving efficiency, enhancing accuracy, and fostering innovation. Here, we delve into some prominent Use case for traditional AI where this is making a significant impact. Use Case for Traditional AI Model in Detail […]

Generative AI, known for its ability to create content, has significantly impacted various industries. However, its influence on security—both positive and negative—warrants close examination. From enhancing security measures to introducing new threats, generative AI is reshaping the security landscape in profound ways. Detail About How has generative ai affected security: 1. Improved Threat Detection Generative […]