Together With ![Bland AI](https://jwwrbzsvyukwfpbuimxf.supabase.co/storage/v1/object/public/sponsor-logos/bland50.png?t=2024-03-21T06%3A46%3A27.072Z) |
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NLX raises $15m series A (5 minute read)
NLX, an enterprise conversational AI platform, has raised additional funding from Cercano, Comcast, and others. The platform is used to build chat, voice, video, and conversational systems.
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Vision-Language Models with Interactive Reasoning (4 minute read)
Chain-of-Spot (CoS) introduces an Interactive Reasoning technique that significantly enhances how Large Vision-Language Models (LVLMs) process and understand images. By focusing on key regions of interest within images in response to specific questions or instructions, CoS enables LVLMs to access detailed visual information without compromising image resolution.
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Enhancing Virtual Try-On with Pre-Trained Diffusion Models (4 minute read)
StableVITON is a novel approach to image-based virtual try-on. This method focuses on maintaining clothing details while leveraging the generative power of pre-trained diffusion models. StableVITON learns semantic correspondences between clothes and the human body in a pre-trained model's latent space.
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Triton Puzzles (GitHub Repo)
Triton is a library for writing CUDA kernels in a Python-like way. It is gaining popularity. This repository has a set of puzzles in increasing difficulty that encourage learning the tool.
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Enhanced Image Editing with Consistency Models (GitHub Repo)
This project enhances the capabilities of diffusion models for tasks like image editing and restoration by introducing Generalized Consistency Trajectory Models (GCTMs). These models streamline the process, making it possible to modify images with remarkable precision and efficiency by translating between any two distributions with just one step.
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New Breakthrough Brings Matrix Multiplication Closer to Ideal (7 minute read)
Tsinghua University and UC Berkeley researchers have achieved a significant breakthrough in matrix multiplication, presenting an innovative technique that has already spurred further enhancements. This advancement in a core computational operation could lead to substantial time, power, and cost savings across various applications. This represents the most considerable progress in reducing the computational complexity of matrix multiplication since the previous milestone in 2010.
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Stylized image binning algorithm (3 minute read)
This is a tutorial on creating a pixel-art-like image processing tool with interactive web elements like sliders for customization using a binning algorithm in JavaScript. The binning technique uses parameters such as bin size and gap to convert images into stylized, pixelated artwork by averaging pixel brightness within bins. The implementation involves manipulating pixel data on HTML canvas elements and optimizing looping structures for efficiency.
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Using LLMs to Generate Fuzz Generators (8 minute read)
LLMs like Claude can generate effective fuzzers for parsing code, automating a process that traditionally requires significant human effort. While LLMs are typically not precise enough for static analysis, they appear well-suited for creating fuzzers due to the stochastic nature of fuzzing. A hybrid approach that combines LLM-driven static analysis and targeted fuzzing could be promising for identifying and exploiting vulnerabilities in code.
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Andrew Tan & Andrew Carr
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