Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Staff

Close

Research on artificial intelligence by Stability AI and Tripo AI presents the TripoSR Model, designed for swift FeedForward 3D generation using just one picture.

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 15, 202475Views0Likes0Comments
In the rapidly advancing field of 3D generative AI, a new wave of breakthroughs are paving the way for blurred boundaries between 3D generation and 3D reconstruction from limited views. Propelled by advancements in generative model topologies and publicly available 3D datasets, researchers have begun to explore the use of 2D diffusion models to generate…

Read More

Tencent’s AI research paper presents ELLA: a technique for machine learning that enhances existing text-to-image diffusion models with cutting-edge, large language models without requiring the training of LLM and U-Net.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 15, 202463Views0Likes0Comments
Recent advancements in text-to-image generation have been largely driven by diffusion models; however, these models often struggle to comprehend dense prompts with complex correlations and detailed descriptions. Addressing these limitations, the Efficient Large Language Model Adapter (ELLA) is presented as a novel method in the field. ELLA enhances the capabilities of diffusion models through the integration…

Read More

Researchers from Google DeepMind Introduce Multistep Consistency Models: An AI Sampling Machine Learning Method that Equally Prioritizes Speed and Quality.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 15, 202471Views0Likes0Comments
Diffusion models are widely used in image, video, and audio generation. However, their sampling process is costly in terms of computation, and lacks compared to the efficiency in training. Alternatively, Consistency Models, and their variants Consistency Training and Consistency Distillation, provide quicker sampling but compromise on the quality of images. TRACT is another known method…

Read More

This document provides an exhaustive empirical examination of the evolution of language model pre-training algorithms from 2012 through 2023.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 15, 202463Views0Likes0Comments
Advanced language models (ALMs) have significantly improved artificial intelligence's understanding and generation of human language. These developments reformed natural language processing (NLP) and led to various advancements in AI applications, such as enhancing conversational agents and automating complex text analysis tasks. However, training these models effectively remains a challenge due to heavy computation required and…

Read More

This artificial intelligence research from China reveals that prevalent 7B language models are already equipped with robust mathematical abilities.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 14, 202469Views0Likes0Comments
Large Language Models (LLMs) have shown impressive competencies across various disciplines, from generating unique content and answering questions to summarizing large text chunks, completing codes, and translating languages. They are considered one of the most significant advancements in Artificial Intelligence (AI). It is generally assumed that for LLMs to possess considerable mathematical abilities, they need…

Read More

Revealing the Concealed Intricacies of Cosine Similarity in Large-Scale Data: An In-depth Investigation of Linear Models and Further

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 14, 202464Views0Likes0Comments
In data science and artificial intelligence, the practice of embedding entities into vector spaces allows for numerical representation of various objects, such as words, users, and items. This method facilitates the measurement of similarities among entities, asserting that vectors closer in space are more similar. A favored metric for identifying similarities is cosine similarity, which…

Read More

Cohere AI launches Command-R, a groundbreaking 35 billion-parameter change in AI language processing, establishing fresh benchmarks for multilingual creation and rationalizing abilities!

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 14, 202468Views0Likes0Comments
The software development industry is continuously seeking advanced, scalable, and flexible tools to handle complex tasks such as reasoning, summarization, and multilingual question answering. Addressing these needs and challenges—including dealing with vast amounts of data, ensuring model performance across different languages, and offering a versatile interface—requires innovative solutions. To this end, large language models have…

Read More

Transforming Fibrosis Treatment: The Use of AI in Uncovering TNIK Inhibitor INS018_055 Opens Up New Possibilities in Medicine

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 14, 202471Views0Likes0Comments
Idiopathic Pulmonary Fibrosis (IPF) and renal fibrosis are complex diseases that have challenged pharmaceutical development, as they lack efficient treatment methods. Current potential drug targets, such as TGF-β signaling pathways, have not led to viable therapies for actual use. As a result, IPF, characterized by fibroblast proliferation and extracellular matrix deposition, continues to be particularly…

Read More

FastV: An AI Technique for Speeding Up Inference in Large-Scale Vision Language Models Using Visual Tokens

AI Shorts, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 14, 202480Views0Likes0Comments
A team of researchers from Peking University and Alibaba Group have introduced FastV, a model designed to mitigate the inefficiencies in computational processing within Large Vision-Language Models (LVLMs). In particular, FastV addresses the bias exhibited by the attention mechanism in LVLMs, which tends to favour textual tokens over visual tokens. Existing models - including LLaVA-1.5…

Read More

Revealing Hidden Bias in AI: An In-depth Examination of Language Variant Discrimination

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 14, 202469Views0Likes0Comments
Today's increasingly pervasive artificial intelligence (AI) technologies have given rise to concerns over the perpetuation of historically entrenched human biases, particularly within marginalized communities. New research by academics from the Allen Institute for AI, Stanford University, and the University of Chicago exposes a worrying form of bias rarely discussed before: Dialect Prejudice against speakers of…

Read More

Introducing SaulLM-7B: An Innovative Extensive Language Model for Legal Sector

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 14, 202474Views0Likes0Comments
Recent advancements in large language models (LLMs), which have revolutionized fields like healthcare, translation, and code generation, are now being leveraged to assist the legal domain. Legal professionals often grapple with extensive, complex documents, emphasizing the need for a dedicated LLM. To address this, researchers from several prestigious institutions—including Equall.ai, MICS, CentraleSupélec, and Université Paris-Saclay—have…

Read More

Apple’s AI Report Explores the Complexities of Machine Learning: Evaluating Vision-Language Models using Raven’s Progressive Matrices

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 14, 202471Views0Likes0Comments
Vision-Language Models (VLMs) provide state-of-the-art performance across a spectrum of vision-language tasks, including captioning, object localization, commonsense reasoning, and vision-based coding, amongst others. Recent studies, such as one undertaken by Apple, showed that these models excel in extracting text from images and interpreting visual data, including tables and charts. However, when tested on complex tasks…

Read More

+60 12-462 2768
hello@goacademyai.com