​ Diffusion models have recently seen much success and attention in the Artificial Intelligence community. Belonging to the family of generative models, these models can effectively reverse a diffusion process that turns data into noise, allowing them to understand complex data distributions. This method has… Read More »Researchers at Stanford Propose DDBMs: A Simple and Scalable Extension to Diffusion Models Suitable for Distribution Translation Problems Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Recently, there have been significant advancements in creating images from text descriptions and combining text and images to generate new ones. However, one unexplored area is image generation from generalized vision-language inputs (for example, generating an image from a scene description involving multiple objects… Read More »This AI Research Proposes Kosmos-G: An Artificial Intelligence Model that Performs High-Fidelity Zero-Shot Image Generation from Generalized Vision-Language Input Leveraging the property of Multimodel LLMs Arham Islam Artificial Intelligence Category – MarkTechPost

​ In recent years, computer vision and generative modeling have witnessed remarkable progress, leading to advancements in text-to-image generation. Various generative architectures, including diffusion-based models, have played a pivotal role in enhancing the quality and diversity of generated images. This article explores the principles, features,… Read More »This AI Research Unveils ‘Kandinsky1’: A New Approach in Latent Diffusion Text-to-Image Generation with Outstanding FID Scores on COCO-30K Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? Despite the abundance of options for serving LLMs, this is a hard question to answer due to the size of the models, varying model architectures, performance… Read More »Improve performance of Falcon models with Amazon SageMaker Abhi Shivaditya AWS Machine Learning Blog

​ Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored… Read More »Index your web crawled content using the new Web Crawler for Amazon Kendra Jiten Dedhia AWS Machine Learning Blog

​ Developers have a new AI-powered steering wheel to help them hug the road while they drive powerful large language models (LLMs) to their desired locations. NVIDIA NeMo SteerLM lets companies define knobs to dial in a model’s responses as it’s running in production, a… Read More »Take the Wheel: NVIDIA NeMo SteerLM Lets Companies Customize a Model’s Responses During Inference Annamalai Chockalingam – Archives Page 1 | NVIDIA Blog

​ Mistral Trismegistus-7B is a Google AI-developed, gigantic language model trained on an enormous dataset of literature and code that included a sizeable amount of esoteric, occult, and spiritual material. As the first model of its type, it can generate literature, translate languages, write other… Read More »Meet Mistral Trismegistus 7B: An Instruction Dataset on the Esoteric, Spiritual, Occult, Wisdom Traditions… Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Alternative splicing is a fundamental process in gene regulation, allowing a single gene to produce multiple mRNA variants and various protein isoforms. This mechanism is pivotal in generating cellular diversity and regulating biological processes. However, deciphering the complex splicing patterns has long been a… Read More »Unraveling Gene Regulation with Deep Learning: A New AI Approach to Understanding Alternative Splicing Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Human scientists can explore the depths of the unknown and make discoveries requiring various undetermined choices. Armed with the body of scientific knowledge at their disposal, human researchers explore uncharted territories and make ground-breaking discoveries in the process. Studies now investigate if building AI… Read More »Researchers from Stanford University Propose MLAgentBench: A Suite of Machine Learning Tasks for Benchmarking AI Research Agents Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Neural Radiance Fields (NeRF) is a powerful neural network-based technique for capturing 3D scenes and objects from 2D images or sparse 3D data.NeRF employs a neural network architecture consisting of two main components: the “NeRF in” and the “NeRF out” network. The “NeRF in”… Read More »UCSD and ByteDance Researchers Present ActorsNeRF: A Novel Animatable Human Actor NeRF Model that Generalizes to Unseen Actors in a Few-Shot Setting Mohammad Arshad Artificial Intelligence Category – MarkTechPost