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The rise of artificial intelligence (AI) has brought immense benefits across industries, but it also poses ethical challenges. Responsible AI, which ensures ethical, transparent, and accountable use of AI technologies, is becoming a significant focus for many organizations. In this article we will discuss about which statement describes the attitude of most companies toward responsible […]

Artificial intelligence (AI) has enormous potential to revolutionize industries and reshape how humans work and live. However, with such significant impacts come the need for effective governance practices to ensure AI technologies are developed, deployed, and used responsibly. AI governance addresses ethical standards, transparency, accountability, and fairness. This article explores what AI governance is, why […]

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, […]