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Facebook AI Research (FAIR) is dedicated to advancing the field of socially intelligent robotics. The primary objective is to develop robots capable of assisting with everyday tasks while adapting to the unique preferences of their human...
Probabilistic diffusion models, a cutting-edge category of generative models, have become a critical point in the research landscape, particularly for tasks related to computer vision. Distinct from other classes of generative models, such as Variational Autoencoder...

Meet Gradio-lite: A JavaScript Library Elevating Interactive Machine Learning-Based Library (Gradio) to the Browser with Pyodide

Gradio is an open-source Python library that simplifies the creation of user interfaces for machine learning models. It is open-source and allows developers and...

Researchers from the University of Washington and NVIDIA Propose Humanoid Agents: An Artificial Intelligence Platform for Human-like Simulations of Generative Agents

Human-like generative agents are commonly used in chatbots and virtual assistants to provide natural and engaging user interactions. They can understand and respond to...

Researchers from Yale and Google DeepMind Unlock Math Problem-Solving Success with Advanced Fine-Tuning Techniques on Large Language Models

Even the most advanced large language models (LLMs), such as GPT-4 and PaLM 2, find it difficult to solve mathematical issues since they call...

The 14% Conversion Rate Growth Story: Unravelling JOE & THE JUICE’s Dynamic Partnership with Pixis AI

In 2002, JOE & THE JUICE emerged as a Danish urban oasis, captivating health-conscious consumers with its organic, locally sourced juices and coffee. Quickly...

A Deep Dive into the Safety Implications of Custom Fine-Tuning Large Language Models

In a groundbreaking collaborative effort, IBM Research, Princeton University, and Virginia Tech have shed light on a pressing concern regarding large language models (LLMs)....

This AI Paper Presents Video Language Planning (VLP): A Novel Artificial Intelligence Approach that Consists of a Tree Search Procedure with Vision-Language Models and...

With the constantly advancing applications of Artificial Intelligence, generative models are growing at a fast pace. The idea of intelligently interacting with the physical...

Meet LAMP: A Few-Shot AI Framework for Learning Motion Patterns with Text-to-Image Diffusion Models

In a recent study, researchers have introduced a groundbreaking few-shot-based tuning framework called LAMP, designed to address the challenge of text-to-video (T2V) generation. While...

This AI Paper Introduces CLIN: A Continually Learning Language Agent that Excels in Both Task Adaptation and Generalization to Unseen Tasks and Environments in...

Continual advancements in artificial intelligence have developed sophisticated language-based agents capable of performing complex tasks without the need for extensive training or explicit demonstrations....

Researchers from Google and the University of Toronto Introduce Groundbreaking Zero-Shot Agent for Autonomous Learning and Task Execution in Live Computer Environments

Large language models (LLMs) for action production in various live contexts, such as ALFWORLD and ALPHACODE, have shown promise in earlier efforts. Examples include...

Meet LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

The introduction of Pre-trained Language Models (PLMs) has signified a transformative shift in the field of Natural Language Processing. They have demonstrated exceptional proficiency...

Google DeepMind Proposes An Artificial Intelligence Framework for Social and Ethical AI Risk Assessment

Generative AI systems, which create content across different formats, are becoming more widespread. These systems are used in various fields, including medicine, news, politics,...

Microsoft Researchers Introduce Table-GPT: Elevating Language Models to Excel in Two-Dimensional Table Understanding and Tasks

With the recent developments in the field of Artificial intelligence, Large Language Models, including GPT and LLaMa, are continuously showing remarkable performance over a...

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