Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.
In contemporary machine learning, foundation models, vast models pretrained on copious amounts of data and then modified for downstream tasks, have become a successful...
Large Language Models (LLMs) have shown impressive natural language creation and interpretation abilities. Examples of these models are GPT, Claude, Palm, and Llama. Numerous...
Understanding large language models (LLMs) and promoting their honest conduct has become increasingly crucial as these models have demonstrated growing capabilities and started widely...
Large Language Models (LLMs) are at the forefront of Artificial Intelligence (AI) and show great promise to surpass human skills in this quickly changing...
With a steady training process, diffusion models have revolutionized picture production, attaining previously unheard-of levels of variety and realism. But unlike GANs and VAEs,...
A key issue that has recently surfaced in Language Models is the high rate at which Language Models (LMs) provide erroneous information, including references...
In computer vision and robotics, simultaneous localization and mapping (SLAM) with cameras is a key topic that aims to allow autonomous systems to navigate...
There are symmetries everywhere. The universal principles of physics hold in both space and time. They exhibit symmetry when spatial coordinates are translated, rotated,...
In generative modeling, diffusion models (DMs) have assumed a pivotal role, facilitating recent progress in producing high-quality picture and video synthesis. Scalability and iterativeness...
Natural picture production is now on par with professional photography, thanks to a notable recent improvement in quality. This advancement is attributable to creating...
There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization....
High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR...
