Manage Amazon SageMaker JumpStart foundation model access with private hubs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1984768Time Stamp: Jun 21, 2024
Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1981863Time Stamp: Jun 11, 2024
Sprinklr improves performance by 20% and reduces cost by 25% for machine learning inference on AWS Graviton3 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1982372Time Stamp: Jun 11, 2024
TensorKrowch: Smooth integration of tensor networks in machine learning Source Cluster: Quantum Journal Source Node: 1982043Time Stamp: Jun 11, 2024
Code generation using Code Llama 70B and Mixtral 8x7B on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1981616Time Stamp: Jun 10, 2024
IBM and Red Hat Introduce InstructLab for Collaborative LLM Customization Source Cluster: Blockchain News Source Node: 1980903Time Stamp: Jun 8, 2024
Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1978763Time Stamp: May 31, 2024
Accelerate Mixtral 8x7B pre-training with expert parallelism on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1976636Time Stamp: May 23, 2024
AMD Chips Can Now Do The AI Work That Nvidia Tech Does – Decrypt Source Cluster: Decrypt Source Node: 1976435Time Stamp: May 22, 2024
How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1974597Time Stamp: May 16, 2024
Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning Source Cluster: Quantum Journal Source Node: 1974745Time Stamp: May 14, 2024
Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1970155Time Stamp: May 1, 2024
Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1969587Time Stamp: Apr 29, 2024
Revolutionizing large language model training with Arcee and AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1970974Time Stamp: Apr 29, 2024
Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968300Time Stamp: Apr 25, 2024
Distributed training and efficient scaling with the Amazon SageMaker Model Parallel and Data Parallel Libraries | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1965236Time Stamp: Apr 16, 2024
Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1962694Time Stamp: Apr 8, 2024
Critical Bugs Put Hugging Face AI Platform in a ‘Pickle’ Source Cluster: Dark reading Source Node: 1961779Time Stamp: Apr 5, 2024
New Cryptocurrency Releases, Listings, & Presales Today — MeshWave, Shirushi Coin, Elephant Money Source Cluster: InsideBitcoins Source Node: 1961600Time Stamp: Apr 4, 2024
Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1960833Time Stamp: Apr 1, 2024