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Overcoming Hallucinations in AI: How Factually Augmented RLHF Optimizes Vision-Language Alignment in Large Multimodal Models
The text discusses the challenges in building Large Multimodal Models (LMMs) due to the disparity between multimodal data and text-only datasets. The researchers present LLaVA-RLHF, a vision-language model trained for enhanced multimodal alignment. They adapt the…
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Can āconstitutional AIā solve the issue of problematic AI behavior?
The increasing presence of AI models in our lives has raised concerns about their limitations and reliability. While AI models have built-in safety measures, they are not foolproof, and there have been instances of models going…
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A Step By Step Guide to Selecting and Running Your Own Generative Model
The past few months have seen a reduction in the size of generative models, making personal assistant AI enabled through local computers more accessible. To experiment with different models before using an API model, you can…
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All You Need To Know About The Qwen Large Language Models (LLMs) Series
The QWEN series of large language models (LLMs) has been introduced by a group of researchers. QWEN consists of base pretrained language models and refined chat models. The models demonstrate outstanding performance in various tasks, including…
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How Can We Optimize Video Action Recognition? Unveiling the Power of Spatial and Temporal Attention Modules in Deep Learning Approaches
Action recognition is the process of identifying and categorizing human actions in videos. Deep learning, especially convolutional neural networks (CNNs), has greatly advanced this field. However, challenges in extracting relevant video information and optimizing scalability persist.…
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UK Regulator Scrutinizes Snapchatās AI Chatbot for Childrenās Privacy Concerns
The UK’s Information Commissioner’s Office (ICO) is investigating Snapchat’s AI chatbot, “My AI,” for potential privacy risks to its younger users. The ICO expressed concerns about Snapchat overlooking the privacy dangers the chatbot may pose to…
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Unlocking Creativity with Advanced Transformers in Generative AI
Transformers have revolutionized generative tasks in artificial intelligence, allowing machines to creatively imagine and create. This article explores the advanced applications of transformers in generative AI, highlighting their significant impact on the field.
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Google DeepMind Releases Open X-Embodiment that Includes a Robotics Dataset with 1M+ Trajectories and a Generalist AI Model (š„š§-X) to Help Advance How Robots can Learn New Skills
The latest advancements in AI and machine learning have shown the effectiveness of large-scale learning from varied datasets in developing AI systems. Despite challenges in collecting comparable datasets for robotics, a team of researchers has proposed…
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Top Generative AI Use Cases for Healthcare to Enhance Patient Experience.Ā
Generative AI has transformed healthcare by improving patient experience through various applications. These include personalized treatment plans, synthetic patient data for research, enhanced medical imaging, tailored educational materials, virtual health assistants, and accelerated drug discovery. However,…
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How Can We Elevate the Quality of Large Language Models? Meet PIT: An Implicit Self-Improvement Framework
Researchers from the University of Illinois Urbana-Champaign and Google have introduced the Implicit Self-Improvement (PIT) framework, which enhances the performance of Large Language Models (LLMs) by allowing them to learn improvement goals from human preference data.…
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Words Unveiled: The Evolution of AI-Generated Poetry and Literature
AI is revolutionizing the realm of literature by generating beautiful poetry and captivating stories using algorithms. This fusion of artistry and technology is pushing the boundaries of creativity. Read about the evolution of AI-generated poetry and…
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Introduction of Microsoft Fabric
Microsoft Fabric is a new solution that aims to enhance our relationship with technology. This article discusses its features, benefits, and suitable users, providing a guide on when and how to utilize it.
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20 Best DALLĀ·E 3 Use Cases and Prompts
OpenAI has released DALL-E 3, an update to its AI text-to-image platform. It can generate readable text in images, accurately depict historical figures and celebrities, and integrates with ChatGPT. Accessing DALL-E 3 for free requires signing…
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Best Ways to Use ChatGPTās āBrowse With Bingā
ChatGPT’s internet access feature, ‘Browse With Bing,’ opens up new possibilities for using the AI tool. It can speed up research, analyze academic documents, plan activities based on weather and events, detect trends and consumer behavior,…
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Comparing Apples to Oranges with python
The article discusses the concept of budget optimization using the example of a fruit salad. It explains how to use a methodical approach to make the most of a limited budget while maintaining the enjoyment and…
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Researchers at MIT and Harvard Unveil a Revolutionary AI-Based Computational Approach: Efficiently Pinpointing Optimal Genetic Interventions with Fewer Experiments
MIT and Harvard researchers have developed a groundbreaking computational approach to efficiently identify optimal genetic perturbations for cellular reprogramming. Their method leverages cause-and-effect relationships within the genome to reduce the number of experiments needed. The approach…
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OpenAI considers in-house chip manufacturing amid global shortage
OpenAI is reportedly exploring the possibility of manufacturing its own processing chips to address the global shortage of these components. The company is considering options including acquiring a chip-making company and increasing its collaboration with primary…
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Meet ConceptGraphs: An Open-Vocabulary Graph-Structured Representation for 3D Scenes
Researchers from the University of Toronto, MIT, and the University of Montreal have developed ConceptGraphs, a 3D scene representation method for robot perception and planning. The method efficiently describes scenes with graph structures and integrates geometric…
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Mistral AI Open-Sources Mistral 7B: A Small Yet Powerful Language Model Adaptable to Many Use-Cases
Mistral AI has unveiled its inaugural Language Model (LLM), Mistral 7B, which has a capacity of 7 billion parameters and outperforms similar models in various benchmarks. The company is dedicated to open-source software, offering free usage,…
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Is Python Ray the Fast Lane to Distributed Computing?
Python Ray, developed by UC Berkeley’s RISELab, is a dynamic framework revolutionizing distributed computing. It simplifies parallel and distributed Python applications, streamlining complex tasks for ML engineers, data scientists, and developers. This article explores Ray’s layers,…