The 3 states where ‘Big Short’ investor Kyle Bass is buying real estate to capitalize on migration trends
27 May

The 3 states where ‘Big Short’ investor Kyle Bass is buying real estate to capitalize on migration trends

stp2y0 CommentsRAG models
Billionaire investor Kyle Bass is scooping up land in Florida, Tennessee, and Texas, touting the states' upside potential as both workers and companies shift to more affordable markets."When you think about the US, you look at the coastal region, the West Coast and the Northeast being very high cost, very high tax — one could say mismanaged — jurisdictions," he said in a recent interview with Investor's Podcast Network. "They're moving to pro-business, lower costs, lower, or no-tax jurisdictions." Bass' success in real estate is well established. His winning bet against the 2008 housing market was immortalized in the classic book…
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SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
27 May

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models

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arXiv:2405.14917v1 Announce Type: new Abstract: Large language models (LLMs) achieve remarkable performance in natural language understanding but require substantial computation and memory resources. Post-training quantization (PTQ) is a powerful compression technique extensively investigated in LLMs. However, existing PTQ methods are still not ideal in terms of accuracy and efficiency, especially with below 4 bit-widths. Standard PTQ methods using group-wise quantization suffer difficulties in quantizing LLMs accurately to such low-bit, but advanced methods remaining high-precision weights element-wisely are hard to realize their theoretical hardware efficiency. This paper presents a Salience-Driven Mixed-Precision Quantization scheme for LLMs, namely SliM-LLM. The scheme exploits the…
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Dove’s latest ‘Real Beauty’ drive – and why AI will be harder to ditch than it thinks
27 May

Dove’s latest ‘Real Beauty’ drive – and why AI will be harder to ditch than it thinks

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Beauty brand Dove recently announced it would not use models generated by artificial intelligence (AI) in its advertising campaigns. But is this really an anti-AI stance or merely the marketing of “inclusive” and “realistic” AI-generated images? In other words, is Dove attempting to shape the beauty ideals AI shows consumers, rather than ditching its use entirely? Dove’s owner Unilever is one of the world’s largest multinational, fast-moving consumer goods companies. But the values of the brands it owns vary dramatically, as highlighted by legal action that Ben & Jerry’s brought against Unilever to object to its ice cream being “sold…
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Activeloop raises $11M to grow its specialized tensor database for AI training and inference – SiliconANGLE
27 May

Activeloop raises $11M to grow its specialized tensor database for AI training and inference – SiliconANGLE

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Activeloop, creator of a database platform that’s designed to cater specifically to artificial intelligence workloads, said today it has closed on an $11 million early-stage funding round, bringing its total amount raised to about $20 million. Today’s Series A round was led by Streamlined Ventures and saw participation from Y Combinator, Samsung Next, Alumni Ventures and Dispersion Capital, the company said. The startup, which is officially known as Snark AI Inc., has created a specialized database called Deep Lake that’s designed to streamline the flow of unstructured information, such as audio, video, image, text files and embeddings, into machine learning…
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Automatic Coral Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring
27 May

Automatic Coral Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring

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arXiv:2405.14879v1 Announce Type: new Abstract: Coral reefs are vital ecosystems that are under increasing threat due to local human impacts and climate change. Efficient and accurate monitoring of coral reefs is crucial for their conservation and management. In this paper, we present an automatic coral detection system utilizing the You Only Look Once (YOLO) deep learning model, which is specifically tailored for underwater imagery analysis. To train and evaluate our system, we employ a dataset consisting of 400 original underwater images. We increased the number of annotated images to 580 through image manipulation using data augmentation techniques, which can improve…
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Apple’s 16-inch MacBook Pro M3 Max is $250 off
27 May

Apple’s 16-inch MacBook Pro M3 Max is $250 off

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The top-of-the-line MacBooks are undoubtedly expensive, so we're happy anytime there's a sale. Right now, Apple's 2023 MacBook Pro laptop with an M3 Max chip is touting a 7 percent price cut, dropping to $3,249 from $3,499. Yes, the device's 1TB of storage and 36GB of unified memory still require a large investment, but we'll gladly take the $250 in savings. This deal is running on Amazon and B&H, but if you want to bump things up to 48GB of unified memory, that model is down to $3,699 from $3,999 on Amazon — an 8 percent discount.AppleApple's MacBook Pro with…
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ML is useful for many things, but not for predicting scientific replicability
27 May

ML is useful for many things, but not for predicting scientific replicability

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Science rests on replicability and reproducibility. Without it, we can’t separate useful insights about the world from artifacts arising due to chance, and even fraud and malpractice by researchers. There are other costs too: one study estimated the cost of irreproducible research at $28 billion every single year, in the field of preclinical research alone. Earlier this year, a paper in the widely read PNAS journal raised the possibility of detecting non-replicable findings using machine learning (ML). The authors claimed ML could be used to predict which studies would replicate, and ultimately be used for deciding which studies should be replicated…
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Understanding Tasks in Diffusers: Part 3 – PyImageSearch
27 May

Understanding Tasks in Diffusers: Part 3 – PyImageSearch

stp2y0 CommentsRAG models
Home » Blog Table of Contents Understanding Tasks in Diffusers: Part 3 Introduction Why Not Image-to-Image? ControlNet Models Configuring Your Development Environment Setup and Imports Installation Imports Utility Functions Canny ControlNet Setting Up Loading the Model Optimizing the Pipeline Image Generation Cleaning Up Pose ControlNet Load Dancer Image Detect Pose Load ControlNet Model Load and Configure Pipeline Image Generation Cleaning Up Depth ControlNet Load Depth Estimation Model Load Image and Extract Depth Load ControlNet Model Load and Configure Pipeline (Skipping Safety Check) Image Generation Cleaning Up Segmentation Map ControlNet Load the Palette Load Segmentation Model and Palette Generate Segmentation Map…
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RE-Adapt: Reverse Engineered Adaptation of Large Language Models
27 May

RE-Adapt: Reverse Engineered Adaptation of Large Language Models

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arXiv:2405.15007v1 Announce Type: new Abstract: We introduce RE-Adapt, an approach to fine-tuning large language models on new domains without degrading any pre-existing instruction-tuning. We reverse engineer an adapter which isolates what an instruction-tuned model has learned beyond its corresponding pretrained base model. Importantly, this requires no additional data or training. We can then fine-tune the base model on a new domain and readapt it to instruction following with the reverse engineered adapter. RE-Adapt and our low-rank variant LoRE-Adapt both outperform other methods of fine-tuning, across multiple popular LLMs and datasets, even when the models are used in conjunction with retrieval-augmented…
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