​ Recent advancements in text-to-image generation driven by diffusion models have sparked interest in text-guided 3D generation, aiming to automate 3D asset creation for virtual reality, movies, and gaming. However, challenges arise in 3D synthesis due to scarce high-quality data and the complexity of generative… Read More »Researchers from UT Austin and Meta Developed SteinDreamer: A Breakthrough in Text-to-3D Asset Synthesis Using Stein Score Distillation for Superior Visual Quality and Accelerated Convergence Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Advancements in generative models for text-to-image (T2I) have been dramatic. Recently, text-to-video (T2V) systems have made significant strides, enabling the automatic generation of videos based on textual prompt descriptions. One primary challenge in video synthesis is the extensive memory and training data required. Methods… Read More »This AI Paper from Victoria University of Wellington and NVIDIA Unveils TrailBlazer: A Novel AI Approach to Simplify Video Synthesis Using Bounding Boxes Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ A growing issue in the artificial intelligence world is stirring discussions – the restricted access to advanced AI models. These models, like GPT-3.5 and GPT-4, are powerful conversation tools developed by OpenAI. However, gaining access to them for analysis and development has been limited… Read More »Meet GPT4Free: An Artificial Intelligence-Based Software Package that Reverse-Engineers APIs to Grant Anyone Free Access to Popular AI Models like OpenAI’s GPT-4  Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence has always faced the issue of producing high-quality videos that smoothly integrate multimodal inputs like text and graphics. Text-to-video generation techniques now in use frequently concentrate on single-modal conditioning, using either text or images alone. The accuracy and control researchers can exert… Read More »Salesforce Research Proposes MoonShot: A New Video Generation AI Model that Conditions Simultaneously on Multimodal Inputs of Image and Text Madhur Garg Artificial Intelligence Category – MarkTechPost

​ With the vast amount of visual content available online, it is essential to assess images and videos accurately. The challenge is to develop robust machine assessment tools that can determine various types of visual content and align closely with human opinions. This need spans… Read More »Meet Q-Align: The All-in-One Visual Scorer Based on Large Multi-Modality Models Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Recently, GPT-4 and other Large Language Models (LLMs) have demonstrated an impressive capacity for Natural Language Processing (NLP) to memorize extensive amounts of information, possibly even more so than humans. The success of LLMs in dealing with massive amounts of data has led to… Read More »This AI Paper Presents A Comprehensive Study of Knowledge Editing for Large Language Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Diffusion models are a significant component in generative models, particularly for image generation, and these models are undergoing transformative advancements. These models, functioning by transforming noise into structured data, especially images, through a denoising process, have become increasingly important in computer vision and related… Read More »ByteDance Introduces the Diffusion Model with Perceptual Loss: A Breakthrough in Realistic AI-Generated Imagery Sana Hassan Artificial Intelligence Category – MarkTechPost

​ In today’s data-driven world, handling diverse data types like images, tables, or text has become a norm. However, combining these varied data sets to extract meaningful insights often poses a significant challenge. Many researchers and professionals encounter this issue when utilizing multiple data modalities… Read More »Meet Fusilli: A Python Library for Multi-Modal Data Fusion in Machine Learning Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Significant achievements have been made in LLMs, exemplified by ChatGPT, excelling in complex language processing tasks. But most mainstream LLMs like LLaMA are pre-trained on English-dominant corpus. Another example is LaMDA, proposed by Google, which is pre-trained on text containing over 90% English. This… Read More »Can We Transfer the Capabilities of LLMs like LLaMA from English to Non-English Languages? A Deep Dive into Multilingual Model Proficiency Nikhil Artificial Intelligence Category – MarkTechPost

​ Recent research highlights the success of Large Language Models (LLMs) trained on Code, excelling at diverse software engineering tasks. These models fall into three primary paradigms: (i) Code LLMs specialized in code completion, (ii) Task-specific Code LLMs fine-tuned for individual tasks, and (iii) Instruction-tuned… Read More »Meet Astraios: An AI Model Suite Consisting of 28 Instruction-Tuned OctoCoder Across Scales and PEFT Methods Mohammad Arshad Artificial Intelligence Category – MarkTechPost