Sana Hassan    LLMs are advancing rapidly across multiple domains, yet their effectiveness in tackling complex financial problems remains an area of active investigation. The iterative development of LLMs has significantly driven the evolution of artificial intelligence toward artificial general intelligence AGI...

Nikhil    Large language models LLMs are rapidly transforming into autonomous agents capable of performing complex tasks that require reasoning, decision making, and adaptability. These agents are deployed in web navigation, personal assistance, and software development. To act effectively in real world...

Sana Hassan    Research and development R D is crucial in driving productivity, particularly in the AI era. However, conventional automation methods in R D often lack the intelligence to handle complex research challenges and innovation driven tasks, making them less effective than human experts. Conversely,...

Nikhil    The accelerating growth of voice interactions in the digital space has created increasingly high user expectations for effortless, natural sounding audio experiences. Conventional speech synthesis and transcription technologies are usually beset by latency, unnaturalness, and insufficient real time...

Asif Razzaq    In this tutorial, we explore an innovative and practical application of IBM’s open source ResNet deep learning model, showcasing its capability to classify satellite imagery for disaster management rapidly. Leveraging pretrained convolutional neural networks CNNs , this approach empowers users...

Asif Razzaq    Artificial intelligence has made significant strides in recent years, yet integrating real time speech interaction with visual content remains a complex challenge. Traditional systems often rely on separate components for voice activity detection, speech recognition, textual dialogue, and text to...

Asif Razzaq    The rapid advancement of artificial intelligence AI has led to the development of complex models capable of understanding and generating human like text. Deploying these large language models LLMs in real world applications presents significant challenges, particularly in optimizing performance...

Asif Razzaq    Semantic search goes beyond traditional keyword matching by understanding the contextual meaning of search queries. Instead of simply matching exact words, semantic search systems capture the intent and contextual definition of the query and return relevant results even when they don’t contain the...

Sana Hassan    LLMs have demonstrated strong reasoning and knowledge capabilities, yet they often require external knowledge augmentation when their internal representations lack specific details. One method for incorporating new information is supervised fine tuning, where models are trained on additional...

Nikhil    This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a database, and perform basic operations such as creating, reading, updating, and deleting records....