speaker detail

Sandeep Singh

Expert Senior Director

company logo

Sandeep Singh is a passionate leader and expert in Deep Learning and Artificial Intelligence. With a strong background in computer science and extensive experience in machine learning research, he has made significant contributions to the advancement of AI technology. 

Sandeep has delivered numerous talks and workshops worldwide, inspiring and educating audiences about AI's potential to revolutionize various industries. As a dedicated mentor, he actively guides aspiring AI professionals and fosters innovation in the field. Currently serving as Expert Senior Director at Bain & Company, Sandeep continues to drive innovation and push the boundaries of AI technology.

Have you ever used groundbreaking technologies such as MidJourney and Stable Diffusion for your professional and personal work? I am sure you did. These technologies have taken the world by storm and have become part of our lives. Wondering how these technologies work and what makes them so incredibly effective? The answer lies in the power of Diffusion Models.

The diffusion models have become the backbone of modern computer vision! From Dall-E 2 to Midjourney, these powerful models have revolutionized the way machines understand and process information. But what exactly are Diffusion Models, and how do they work? Don’t worry! You are at the right place. Welcome to the workshop on Diffusion models!

Read More

In this presentation on "Multi-Modality in LLMs: New Poster Child Everyone is Striving For!" we will embark on a journey through the revolutionary impact of multi-modal language models. Beginning with an enthralling introduction to multi-modality, we will explore how these systems transcend single-modal limitations by integrating diverse data types such as text, images, audio, and video. We will trace the meteoric evolution of LLMs from their text-only origins to the sophisticated multi-modal marvels we see today, dissecting cutting-edge models like GPT-4, DALL-E, and CLIP. This discussion will highlight the breakthrough technological advancements propelling multi-modality to the forefront of AI, emphasizing the pivotal role of heterogeneous data fusion.

The presentation will showcase transformative real-world applications across sectors such as healthcare, entertainment, and education, supported by illuminating case studies demonstrating multi-modal LLMs' immense potential. We will delve into how these models elevate user experiences by crafting personalized, context-aware interactions. Additionally, we will address the intricate technical and ethical challenges inherent in multi-modal AI, including strategies for mitigating bias and ensuring equitable deployment. Looking ahead, we will chart the course for future innovations and research trajectories that promise to redefine the landscape of AI. The session will conclude with a captivating recap of key insights, an interactive Q&A to engage with audience curiosities, a heartfelt thank you, and contact information for further discussion and collaboration. Prepare to be enthralled by the cutting-edge world of multi-modality in LLMs, where the synergy of diverse modalities heralds the next frontier of artificial intelligence.

 

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details