​ Artificial intelligence content generation’s rapid evolution, particularly in text-to-image (T2I) models, has ushered in a new era of high-quality, diverse, and creative AI-generated content. However, a significant limitation has persisted in effectively communicating with these advanced T2I models using natural language descriptions, making it… Read More »Meet Mini-DALLE3: An Interactive Text to Image Approach by Prompting Large Language Models Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ In a groundbreaking move, PyTorch Edge introduced its new component, ExecuTorch, a cutting-edge solution poised to revolutionize on-device inference capabilities across mobile and edge devices. This ambitious endeavor has garnered support from industry stalwarts, including Arm, Apple, and Qualcomm Innovation Center, cementing ExecuTorch’s position… Read More »PyTorchEdge Unveils ExecuTorch: Empowering On-Device Inference for Mobile and Edge Devices Niharika Singh Artificial Intelligence Category – MarkTechPost

​ This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Founded in 2011, Talent.com is one of the world’s largest sources of employment. The company combines paid job listings from their clients with public job listings… Read More »From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker Yi Xiang AWS Machine Learning Blog

​ To learn statistically, one must balance memorization of training data and transfer to test samples. However, the success of overparameterized neural models casts doubt on this theory; these models can memorize yet still generalize well, as seen by their ability to correctly match random… Read More »Deciphering Memorization in Neural Networks: A Deep Dive into Model Size, Memorization, and Generalization on Image Classification Benchmarks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Introducing BOSS (Bootstrapping your own SkillS): a groundbreaking approach that leverages large language models to autonomously build a versatile skill library for tackling intricate tasks with minimal guidance. Compared to conventional unsupervised skill acquisition techniques and simplistic bootstrapping methods, BOSS performs better in executing… Read More »Meet BOSS: A Reinforcement Learning (RL) Framework that Trains Agents to Solve New Tasks in New Environments with LLM Guidance Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ So recently, we have been experimenting with knowledge bases, and how information is structured is vital. In some sense, it directly relates to the context and overall meaning. It also makes it easier for LLMs to answer questions accurately and reduces hallucination. And so we… Read More »Mastering Knowledge Bases: The Key to Transformative Chatbots Stefan Kojouharov Chatbots Life – Medium

​ A few tasks requiring the creation or verification of factual assertions—such as question answering, fact-checking, and even the generation of unconditional text—are relatively successfully handled by current language models (LMs). However, growing evidence shows that LMs become more prone to producing erroneous but often… Read More »MIT Researchers Introduce a New Training-Free and Game-Theoretic AI Procedure for Language Model Decoding Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Home Table of Contents Generating Faces Using Variational Autoencoders with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure About the Dataset Overview Class Distribution Data Preprocessing Data Split Configuring the Prerequisites Defining the Data Utilities Defining the Model Utilities… Read More »Generating Faces Using Variational Autoencoders with PyTorch Aditya Sharma PyImageSearch

​ Researchers address the issue of combining spatial control signals over every joint at any given time into text-conditioned human motion production. Modern diffusion-based techniques may produce varied and lifelike human motion, but they find it difficult to incorporate variable spatial control signals, which are… Read More »Meet OmniControl: An Artificial Intelligence Approach for Incorporating Flexible Spatial Control Signals into a Text-Conditioned Human Motion Generation Model Based on the Diffusion Process Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Words and phrases can be effectively represented as vectors in a high-dimensional space using embeddings, making them a crucial tool in the field of natural language processing (NLP). Machine translation, text classification, and question answering are just a few of the numerous applications that… Read More »Meet FastEmbed: A Fast and Lightweight Text Embedding Generation Python Library Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost