Towards AI

APRIL 23, 2024

The breakthrough is huge jumps in model capabilities and benchmark scores for small model formats (8bn and 70bn parameters) and huge jumps in capabilities of the best open-source models. When choosing the best LLM for your application, there are many trade-offs and priorities to choose between. Why should you care? OpenAI or DIY?

AI 87

AI AI LLM OpenAI 87

Towards AI

MARCH 5, 2023

Get ahead in the AI game with our top picks for laptops that are perfect for machine learning, data science, and deep learning at every budget. After analyzing over 8,000 options [8], we’ve identified the best of the best to help future-proof your AI rig. Let’s get started! 9] Ports: 1x USB-C 3.2 Gen 1 (Always On), 3x USB 3.2

Deep Learning 76

Deep Learning Data Science Machine Learning ML 76

NVIDIA

NOVEMBER 15, 2023

Getting the best performance for RAG workflows requires massive amounts of memory and compute to move and process data. The NVIDIA GH200 Grace Hopper Superchip , with its 288GB of fast HBM3e memory and 8 petaflops of compute, is ideal — it can deliver a 150x speedup over using a CPU.

LLM 136

LLM Generative AI AI Modeling Neural Network 136

Heartbeat

APRIL 4, 2023

This comprehensive article will explain the fundamentals of neural style transfer (NST), provide an overview of the techniques used for performing NST, and discuss some best use cases for the application. Video Games and Film Style transfer is also ideal for creating video games and films with visually stunning and unique worlds.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 52

Bugra Akyildiz

MAY 12, 2024

Articles Apple wrote a blog post that presents a hybrid machine learning approach for personalizing heart rate prediction during exercise by combining a physiological model based on ordinary differential equations (ODEs) with neural networks and representation learning. This innovative approach enables DeepSpeed-FastGen to achieve up to 2.3

Neural Network 59

Neural Network Large Language Models Python Machine Learning 59

IBM Journey to AI blog

NOVEMBER 13, 2023

NVMe SSDs can deliver better response times than HDDs because of improvements to their drivers, allowing for parallelism and polling and helping reduce latency to avoid CPU bottlenecks. 2 SATA interface the best option. 2 SSDs connect directly to a computer’s CPU using a PCIe socket. 2 the best choice. NVMe and M.2

ESG 199

ESG ML Artificial Intelligence Artificial Intelligence 199

TensorFlow

APRIL 9, 2024

XNNPack is TensorFlow Lite’s CPU backend and CPUs deliver the widest reach for ML inference and remain the default target for TensorFlow Lite. Consequently, improving CPU inference performance is a top priority. In this article we demonstrate the benefits of dynamic range quantization. How can you use it?

Neural Network 109

Neural Network Software Engineer Computer Vision ML 109