AWS Machine Learning Blog

NOVEMBER 26, 2024

You will use Deep Learning AMI Neuron (Ubuntu 22.04) as your AMI, as shown in the following figure. You can reattach to your Docker container and stop the online inference server with the following: docker attach $(docker ps --format "{{.ID}}") You will use inf2.xlarge xlarge as your instance type. top_p=0.95) # Create an LLM.

LLM 95

LLM AI AI Artificial Intelligence 95

Marktechpost

OCTOBER 17, 2024

In particular, the release targets bottlenecks experienced in transformer models and LLMs (Large Language Models), the ongoing need for GPU optimizations, and the efficiency of training and inference for both research and production settings. The new PyTorch release brings exciting new features to its widely adopted deep learning framework.

Machine Learning 122

Machine Learning Neural Network Data Scientist Inference Engine 122

Marktechpost

OCTOBER 23, 2024

Technical Overview and Benefits of SynthID SynthID integrates an imperceptible watermark directly into AI-generated text using advanced deep learning models. This move is a significant step toward enhancing the safety, transparency, and traceability of AI-generated content, fostering greater trust in the expanding AI ecosystem.

Large Language Models 109

Large Language Models Responsible AI Inference Engine Metadata 109

NVIDIA

APRIL 9, 2024

Google for Startups Cloud Program members can join NVIDIA Inception and gain access to technological expertise, NVIDIA Deep Learning Institute course credits, NVIDIA hardware and software, and more.

AI Developer 135

AI Developer AI Development Generative AI Inference Engine 135

Unite.AI

AUGUST 12, 2024

Their mission is clear: to develop and advance state-of-the-art generative deep learning models for media such as images and videos, while pushing the boundaries of creativity, efficiency, and diversity. Black Forest Labs Open-Source FLUX.1 Introducing the Flux Model Family Black Forest Labs has introduced the FLUX.1

Natural Language Processing 246

Natural Language Processing Generative AI Inference Engine AI Tools 246

Marktechpost

OCTOBER 14, 2024

raising widespread concerns about privacy threats of Deep Neural Networks (DNNs). Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense appeared first on MarkTechPost.

Categorization 104

Categorization Neural Network Inference Engine Deep Learning 104

NVIDIA

JUNE 12, 2024

RTX GPUs also take advantage of Tensor Cores — dedicated AI accelerators that dramatically speed up the computationally intensive operations required for deep learning and generative AI models. The team of AI researchers and engineers behind the open-source Jan.ai Source: Jan.ai

LLM 111

LLM Generative AI AI AI 111

Google Research AI blog

JUNE 15, 2023

We address this challenge in our work titled “ Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations ” (to be presented at the CVPR 2023 workshop for Efficient Deep Learning for Computer Vision ) focusing on the optimized execution of a foundational LDM model on a mobile GPU.

Inference Engine 92

Inference Engine ML Algorithm Software Engineer 92

Marktechpost

JUNE 19, 2023

Due to its many benefits over server-based methods, such as lower latency, increased privacy, and greater scalability, on-device model inference acceleration has recently attracted much interest. In light of the limitations of standard fusion rules, they devised custom implementations capable of running a wider variety of neural operators.

Inference Engine 97

Inference Engine ML AI Tools Deep Learning 97

Marktechpost

OCTOBER 16, 2024

Deep learning-based prediction is critical for optimizing output, anticipating weather fluctuations, and improving solar system efficiency, allowing for more intelligent energy network management. More sophisticated machine learning approaches, such as artificial neural networks (ANNs), may detect complex relationships in data.

Machine Learning 67

Machine Learning Neural Network Deep Learning Inference Engine 67

AWS Machine Learning Blog

MAY 8, 2023

TensorRT is an SDK developed by NVIDIA that provides a high-performance deep learning inference library. It’s optimized for NVIDIA GPUs and provides a way to accelerate deep learning inference in production environments. Triton Inference Server supports ONNX as a model format.

ML 97

ML BERT Deep Learning Auto-complete 97

Mlearning.ai

JANUARY 28, 2023

Scikit-Learn: Scikit-Learn is a machine learning library that makes it easy to train and deploy machine learning models. It has a wide range of features, including data preprocessing, feature extraction, deep learning training, and model evaluation. How Do I Use These Libraries?

Data Science 52

Data Science Machine Learning ML Python 52

AWS Machine Learning Blog

AUGUST 2, 2023

amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117" cu117" ) print(f"Image going to be used is - > {inference_image_uri}") In addition to that, we need to have a serving.properties file that configures the serving properties, including the inference engine to use, the location of the model artifact, and dynamic batching.

Generative AI 80

Generative AI Computer Vision Auto-complete Natural Language Processing 80

AWS Machine Learning Blog

APRIL 3, 2023

The accomplishments of deep learning are essentially just a type of curve fitting, whereas causality could be used to uncover interactions between the systems of the world under various constraints without testing hypotheses directly. The causal inference engine is deployed with Amazon SageMaker Asynchronous Inference.

Inference Engine 96

Inference Engine Machine Learning Algorithm Data Scientist 96

Mlearning.ai

MAY 16, 2023

Conclusions In this post, I discussed how to integrate the C++ code with the NCNN inference engine into Android for model deployment on the mobile phone. You can easily tailor the pipeline for deploying your deep learning models on mobile devices. Hope these series of posts help. Thanks for reading. 2] Android.

Neural Network 98

Neural Network Convolutional Neural Networks Deep Learning Inference Engine 98

Towards AI

JULY 21, 2023

GitHub: Tencent/TurboTransformers Make transformers serving fast by adding a turbo to your inference engine!Transformer The sell is that it can support various lengths of input sequences without preprocessing which reduces overhead in computation. ? These 2 repos encompass NLP and Speech modeling.

NLP 98

NLP Natural Language Processing Inference Engine Chatbots 98

NVIDIA

OCTOBER 23, 2024

Fluid AI taps NVIDIA NIM microservices, the NVIDIA NeMo platform and the NVIDIA TensorRT inference engine to deliver a complete, scalable platform for developing custom generative AI for its customers.

Conversational AI 94

Conversational AI Chatbots Generative AI Natural Language Processing 94

Towards AI

JULY 19, 2023

Credits A critical component for these robots is to identify different objects and take actions accordingly and this is where Deep Learning and Machine Vision enters the space!!! On an Nvidia V-100 GPU, the detector runs at 15 fps on average.

Robotics 40

Robotics Computer Vision Deep Learning Inference Engine 40

Viso.ai

MAY 24, 2024

Large Action Models (LAMs) are deep learning models that aim to understand instructions and execute complex tasks and actions accordingly. It uses formal languages, like first-order logic, to represent knowledge and an inference engine to draw logical conclusions based on user queries. Symbolic AI Mechanism.

Neural Network 52

Neural Network Robotics Automation Explainability 52

Bugra Akyildiz

SEPTEMBER 22, 2024

Normalization layers: Like many deep learning models, SSMs often incorporate normalization layers (e.g., Skip connections: These are used to facilitate gradient flow in deep SSM architectures, similar to their use in other deep neural networks. LayerNorm) to stabilize training.

Neural Network 59

Neural Network LLM Large Language Models Data Ingestion 59

Bugra Akyildiz

SEPTEMBER 8, 2024

Support for Deep Learning Libraries Model Explorer demonstrates extensive support for various deep learning frameworks: JAX : Supports graph formats used by JAX, enabling visualization of models built with this framework. The code is available in GitHub. For additional information about Gemma, see ai.google.dev/gemma.

LLM 52

LLM Large Language Models Neural Network Machine Learning 52