Shobha Kakkar    The increasing reliance on machine learning models for processing human language comes with several hurdles, such as accurately understanding complex sentences, segmenting content into comprehensible parts, and capturing the contextual nuances present in multiple domains. In this landscape, the...

Asif Razzaq    Bias in AI powered systems like chatbots remains a persistent challenge, particularly as these models become more integrated into our daily lives. A pressing issue concerns biases that can manifest when chatbots respond differently to users based on name related demographic indicators, such as...

Asif Razzaq    The rapid growth of large language models LLMs and their increasing computational requirements have prompted a pressing need for optimized solutions to manage memory usage and inference speed. As models like GPT, Llama, and other large scale architectures push the limits of GPU capacity,...

Nikhil    Large language models LLMs have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are designed to handle mathematical problem solving, decision making, and multi step logical deductions. However, while LLMs can process and generate...

Asif Razzaq    Predibase announces the Predibase Inference Engine, their new infrastructure offering designed to be the best platform for serving fine tuned small language models SLMs . The Predibase Inference Engine dramatically improves SLM deployments by making them faster, easily scalable, and more cost...

Asif Razzaq    The challenge lies in generating effective agentic workflows for Large Language Models LLMs . Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor intensive, which limits scalability and adaptability to new tasks...

Pragati Jhunjhunwala    In today’s fast paced and interconnected world, mental health is more important than ever. The constant pressures of work, social media, and global events can take a toll on our emotional and psychological well being. Mental health, being so important, is not paid attention to over other global...

Adeeba Alam Ansari    XAI, or Explainable AI, brings about a paradigm shift in neural networks that emphasizes the need to explain the decision making processes of neural networks, which are well known black boxes. In XAI, methods of feature selection, mechanistic interpretability, concept based explainability, and...

Asif Razzaq    A major challenge in the evaluation of vision language models VLMs lies in understanding their diverse capabilities across a wide range of real world tasks. Existing benchmarks often fall short, focusing on narrow sets of tasks or limited output formats, resulting in inadequate evaluation of the...

Shobha Kakkar    Current text to image generation models face significant challenges with computational efficiency and refining image details, particularly at higher resolutions. Most diffusion models perform the generation process in a single stage, requiring each denoising step to be conducted on high resolution...