Hey there, fellow AI enthusiasts! Have you experienced Generative AI being lazy? Or just not interested in following directions provided through those prompts? Today, we’re diving into the somewhat quirky world of Generative AI, where laziness and defiance occasionally rear their digital heads. Yes, you heard me right! Even the most sophisticated algorithms can sometimes
Google releases Gemini 1.5 Pro to analyze content like videos, audio, code, and text.
In today’s rapidly advancing technological landscape, artificial intelligence (AI) has emerged as a transformative force, shaping everything from the way we shop online to the way medical diagnoses are made. However, amidst its revolutionary capabilities, there exists a lesser known, yet critical aspect called “AI hallucinations” that warrants exploration. In this post, we delve into
In the dynamic landscape of artificial intelligence (AI), ensuring responsible and ethical use has become paramount. The rise of AI technologies brings with it a myriad of opportunities and challenges, necessitating the establishment of frameworks that guide their deployment. One such crucial development is the emergence of the Responsible AI License (RAIL). This groundbreaking license
Hollywood hyperbole Terminator, iRobot, Eagle Eye are some of the most iconic AI themed Hollywood movies. The cinematic trinity of Terminator, iRobot, and Eagle Eye paints vivid dystopian landscapes, echoing our collective fear of AI’s potential dark turn. In these thought-provoking movies, artificial intelligence transcends its intended purpose, evolving into formidable entities that challenge humanity’s
OpenAI recently asserted before a UK parliamentary committee that developing leading AI systems like ChatGPT would be “impossible” without using vast amounts of copyrighted data. The company argued that advanced AI tools require such extensive training that adhering strictly to copyright laws would be unfeasible. In written testimony, OpenAI emphasized that the pervasive nature of
On Friday, December 8, 2023, the European Parliament and Council reached political agreement on the European Union’s Artificial Intelligence Act (“EU AI Act“). The EU seeks to create a comprehensive legal framework for the regulation of AI systems across the EU – with the aim of ensuring that AI systems are “safe” and “respect fundamental
In the fast-paced world of product development, innovation is not just a goal; it’s a necessity. Companies must continuously evolve, adapting to consumer needs and technological advancements to stay competitive. One transformative technology driving this evolution is Generative AI. This powerful tool offers unprecedented opportunities for product ideation, enabling businesses to generate creative ideas, streamline
Kubernetes has become a cornerstone for managing containerized applications in the cloud. It simplifies the deployment, scaling, and operations of application containers, but the complexity of these systems requires robust observability to ensure their health and performance. AI and Generative AI are revolutionizing how we approach observability. This blog post will delve into how AI
Natural Language Processing (NLP) gives the machines the ability to read, understand and derive meaning from human languages. Nearly 90% of data generated today from various channels is unstructured such as email, social media, news feeds & blogs, text and OTT messages, audio, video and more. Some of the real-world applications of NLP include sentiment