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Google AI Research Proposes TRICE: A New Machine Learning Algorithm for Tuning LLMs to be Better at Solving Question-Answering Tasks Using Chain-of-Thought (CoT) Prompting
Google researchers developed a new fine-tuning strategy, called chain-of-thought (CoT), to improve language models’ performance in generating correct answers. The CoT technique aims to maximize the accuracy of responses, surpassing other methods like STaR and prompt-tuning. The study also introduces a control-variate technique and outlines future research directions for further advancements.
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Apple AI Research Releases MLX: An Efficient Machine Learning Framework Specifically Designed for Apple Silicon
Apple recently released MLX, a machine learning framework designed for Apple silicon. Inspired by existing frameworks, it offers a user-friendly design, Python and C++ APIs, composable function transformations, and lazy computations. MLX supports multiple devices, high-level packages like mlx.optimizers and mlx.nn, and has various applications, aiming to simplify complex model building and democratize machine learning.
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Did Google cheat with the impressive Gemini demo video?
Google’s demo video of its new model Gemini was impressive, but it fell short of the marketing hype. The video showcased interactions that were actually based on detailed text prompts and still images, not live demonstrations. Google’s claims about Gemini’s capabilities raise questions about AI innovation and future developments compared to existing models like GPT-4.
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Meet PyPose: A PyTorch-based Robotics-Oriented Library that Provides a Set of Tools and Algorithms for Connecting Deep Learning with Physics-based Optimization
Deep learning’s wide-ranging applications, including robotics, face challenges due to its reliance on pre-existing data. PyPose, developed on the PyTorch framework, introduces a novel approach blending deep learning with physics-based optimization. This versatile toolkit aids in building and testing various robotic tools efficiently, enhancing performance and adaptability in challenging tasks. Researchers emphasize its revolutionary impact…
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This AI Research Introduces a Novel Vision-Language Model (‘Dolphins’) Architected to Imbibe Human-like Abilities as a Conversational Driving Assistant
Researchers from multiple universities and NVIDIA have developed Dolphins, a vision-language model for autonomous vehicles. Dolphins excel in providing driving instructions by combining language reasoning with visual understanding, exhibiting human-like features such as rapid learning and interpretability. The model addresses challenges in achieving full autonomy in vehicular systems and emphasizes the importance of computational efficiency.
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How can the Effectiveness of Vision Transformers be Leveraged in Diffusion-based Generative Learning? This Paper from NVIDIA Introduces a Novel Artificial Intelligence Model Called Diffusion Vision Transformers (DiffiT)
NVIDIA’s paper introduces Diffusion Vision Transformers (DiffiT), enhancing generative learning by combining a hybrid hierarchical architecture with a U-shaped encoder and decoder. Utilizing time-dependent self-attention for conditioning, DiffiT achieves state-of-the-art performance in image and latent space generation, setting a new record with an impressive FID score of 1.73 on ImageNet-256. Future research will explore alternative…
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Communication Practices for Increasing UX Maturity
Improve your organization’s UX maturity by purposefully communicating UX knowledge and awareness. Research reveals communication challenges faced by UX professionals, especially in low UX-maturity organizations. Challenges stem from a lack of understanding of UX and its value. Collaboration issues often arise due to a fundamental misunderstanding of UX principles and mindset.
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Scroll Fading 101
Scroll fading can enhance user experience when used appropriately, impacting factors like brand perception and page loading. This design pattern involves elements fading in or out as users scroll down a webpage. However, poorly deployed animations can be distracting, as movement is instinctively noticed. A usability-testing study examined scroll fading’s impact on various websites, leading…
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Google takes criticism for their misleading Gemini marketing video
Google faced criticism for a promotional video of its Gemini multi-modal AI, pitted as a competitor to OpenAI’s GPT-4. The video highlighted Gemini’s capabilities, prompting excitement, but was later revealed to be heavily edited, sparking debate on AI marketing ethics. The incident underscores the blurred lines between profit-making and public service in the AI industry.
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Researchers from the University of Washington and Google Unveil a Breakthrough in Image Scaling: A Groundbreaking Text-to-Image Model for Extreme Semantic Zooms and Consistent Multi-Scale Content Creation
New text-to-image models have advanced, enabling revolutionary applications like creating images from text. However, existing approaches struggle to consistently produce content across zoom levels. A study by the University of Washington, Google, and UC Berkeley introduces a text-conditioned multi-scale image production method, allowing users to control content at different zoom levels through text prompts. The…