Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
Abstract: In this paper, a table lookup-based computing technique is proposed to perform convolutional neural network (CNN) inference without multiplication, and its FPGA implementation is ...
Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...
Some Head Start early childhood programs are being told by the federal government to remove a list of nearly 200 words and phrases from their funding applications or they could be denied. That's ...
It’s likely you’ve heard of the Pareto principle (maybe even while reading my tips on how to be more productive at work or study more effectively). But do you really know what the Pareto principle is?
@misc{GANESH2024KANGPT, author = {Aditya Nalgunda Ganesh}, title = {KAN-GPT: The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov ...
This repository contains an efficient implementation of Kolmogorov-Arnold Network (KAN). The original implementation of KAN is available here. The problem is in the sparsification which is claimed to ...
Abstract: In this letter, a novel high throughput software polarization-adjusted convolutional (PAC) decoder based on the four-node fast list (FFL) decoding algorithm is proposed. To improve the ...
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