Skip to content

Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock Amit Arora AWS Machine Learning Blog

  • by

​ From enhancing the conversational experience to agent assistance, there are plenty of ways that generative artificial intelligence (AI) and foundation models (FMs) can help deliver faster, better support. With the increasing availability and diversity of FMs, it’s difficult to experiment and keep up-to-date with… Read More »Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock Amit Arora AWS Machine Learning Blog

Meet mPLUG-Owl2: A Multi-Modal Foundation Model that Transforms Multi-modal Large Language Models (MLLMs) with Modality Collaboration Tanya Malhotra Artificial Intelligence Category – MarkTechPost

  • by

​ Large Language Models, with their human-imitating capabilities, have taken the Artificial Intelligence community by storm. With exceptional text understanding and generation skills, models like GPT-3, LLaMA, GPT-4, and PaLM have gained a lot of attention and popularity. GPT-4, the recently launched model by OpenAI… Read More »Meet mPLUG-Owl2: A Multi-Modal Foundation Model that Transforms Multi-modal Large Language Models (MLLMs) with Modality Collaboration Tanya Malhotra Artificial Intelligence Category – MarkTechPost

NetEase Youdao Open-Sources EmotiVoice: A Powerful and Modern Text-to-Speech Engine Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

  • by

​ NetEase Youdao announced the formal release of the “Yi Mo Sheng”: An open-source text-to-speech (TTS) engine. It is available on GitHub. The web and script interfaces it offers make it possible to generate results in batches, making it ideal for applications requiring emotional synthesis… Read More »NetEase Youdao Open-Sources EmotiVoice: A Powerful and Modern Text-to-Speech Engine Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

This AI Paper Introduces a Deep Learning Model for Classifying Stages of Age-Related Macular Degeneration Using Real-World Retinal OCT Scans Adnan Hassan Artificial Intelligence Category – MarkTechPost

  • by

​ A new research paper presents a deep learning-based classifier for age-related macular degeneration (AMD) stages using retinal optical coherence tomography (OCT) scans. Utilizing a two-stage convolutional neural network, the model classifies macula-centered 3D volumes from Topcon OCT images into Normal, early/intermediate AMD (iAMD), atrophic… Read More »This AI Paper Introduces a Deep Learning Model for Classifying Stages of Age-Related Macular Degeneration Using Real-World Retinal OCT Scans Adnan Hassan Artificial Intelligence Category – MarkTechPost

This AI Paper from MIT Explores the Scaling of Deep Learning Models for Chemistry Research Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

  • by

​ Researchers from MIT investigated the scaling behavior of large chemical language models, focusing on both generative pre-trained transformers (GPT) for chemistry (ChemGPT) and graph neural network force fields (GNNs). They introduce the concept of neural scaling, where the performance of models is characterized by… Read More »This AI Paper from MIT Explores the Scaling of Deep Learning Models for Chemistry Research Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

This AI Research from China Introduces 4K4D: A 4D Point Cloud Representation that Supports Hardware Rasterization and Enables Unprecedented Rendering Speed Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

  • by

​ Dynamic view synthesis is a computer vision and graphic task attempting to reconstruct dynamic 3D scenes from captured videos and generate immersive virtual playback. This technique’s practicality relies on its high-fidelity real-time rendering capability, enabling its use in VR/AR, sports broadcasting, and artistic performance… Read More »This AI Research from China Introduces 4K4D: A 4D Point Cloud Representation that Supports Hardware Rasterization and Enables Unprecedented Rendering Speed Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

This AI Paper Introduces Learning from Mistakes (LeMa): Enhancing Mathematical Reasoning in Large Language Models through Error-Driven Learning Mohammad Arshad Artificial Intelligence Category – MarkTechPost

  • by

​ Human beings, as inherently fallible creatures, navigate the intricate journey of life marked by successes and failures. In the grand tapestry of our existence, the thread of mistakes weaves a unique pattern that contributes significantly to our growth and development. Learning from mistakes is… Read More »This AI Paper Introduces Learning from Mistakes (LeMa): Enhancing Mathematical Reasoning in Large Language Models through Error-Driven Learning Mohammad Arshad Artificial Intelligence Category – MarkTechPost