Vineet Kumar    Imagine having a personal chatbot that can answer questions directly from your documents be it PDFs, research papers, or books. With Retrieval Augmented Generation RAG , this is not only possible but also straightforward to implement. In this tutorial, we’ll learn how to build a chatbot that...

Asif Razzaq    With AI Agents being the Talk of the Town, CopilotKit is an open source framework designed to give you a holistic exposure to that experience. It facilitates the integration of AI copilots into applications, enabling developers to create interactive AI driven functionalities easily. It provides a...

Sana Hassan    LLMs have significantly advanced natural language processing, excelling in tasks like open domain question answering, summarization, and conversational AI. However, their growing size and computational demands highlight inefficiencies in managing extensive contexts, particularly in functions...

Sajjad Ansari    Large Language Models LLMs based on Transformer architectures have revolutionized sequence modeling through their remarkable in context learning capabilities and ability to scale effectively. These models depend on attention modules that function as associative memory blocks, storing and...

Nikhil    The study of artificial intelligence has witnessed transformative developments in reasoning and understanding complex tasks. The most innovative developments are large language models LLMs and multimodal large language models MLLMs . These systems can process textual and visual data, allowing...

Aswin Ak    Video understanding has long presented unique challenges for AI researchers. Unlike static images, videos involve intricate temporal dynamics and spatial temporal reasoning, making it difficult for models to generate meaningful descriptions or answer context specific questions. Issues like...

Asif Razzaq    The growing reliance on AI models for edge and mobile devices has underscored significant challenges. Balancing computational efficiency, model size, and multilingual capabilities remains a persistent hurdle. Traditional large language models LLMs , while powerful, often require extensive...

Asif Razzaq    Agentic AI enables autonomous and collaborative problem solving that mimics human cognition. By facilitating multi agent cooperation with real time communication, it holds promise across diverse industries, from autonomous transportation to adaptive healthcare. However, achieving this potential...

Aswin Ak    The growth of data in the digital age presents both opportunities and challenges. An immense volume of text, images, audio, and video is generated daily across platforms. Traditional machine learning models, while effective in many scenarios, often struggle to process high dimensional and...

Vineet Kumar    Generative Large Multimodal Models LMMs , such as LLaVA and Qwen VL, excel in vision language VL tasks like image captioning and visual question answering VQA . However, these models face challenges when applied to foundational discriminative VL tasks, such as image classification or multiple...