AI

Artificial intelligence and its ever-evolving landscape include a topic of prominence that is Multi-Modal Prompting. Prompts are the instructions that we give to AI models and they provide us with output. As AI models become more advanced, their ability to process and generate data from different types of inputs—text, images, audio, and even video—has opened up new possibilities.

Kratika Dua

An illustration with a general prompt and a precise, specific prompt

The Art of Creating Effective AI Prompts: Providing Relevant Context

Prompt Engineering 101: Writing Prompts Made Easy

Artificial intelligence and prompt engineering are rapidly gaining momentum, with a significant amount of buzz and discussion surrounding their potential. Entering the right text into generative AI to get the desired outcome can be daunting!

IBM’s AI serves up new US Open fan experience

IBM aims to create a more immersive and interactive experience for US Open attendees and viewers through advanced AI technology

Wearable tech breakthrough: Clothing reflects your mood

Wearable technology breakthrough: clothing that reflects your mood. Sensors in the fabric detect emotional states and change color accordingly, allowing for non-verbal communication of feelings

Google’s AI summaries in Hindi require quality enhancement

Need for quality enhancement in Google’s AI-generated summaries in Hindi. It highlights challenges such as accuracy and coherence, emphasizing the importance of improving these aspects to better serve Hindi-speaking users and enhance the overall user experience with AI technologies.

LLMs identifying own outputs: New research sparks concern

New research raises concerns about large language models (LLMs) identifying their own outputs. The study suggests that LLMs may develop the ability to recognize their generated text, potentially leading to issues with misinformation and accountability. This finding prompts discussions about the implications for AI transparency and ethical usage in various applications