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
Fine-tune Code Llama on Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1957363Time Stamp: Mar 18, 2024
In the rush to build AI apps, don’t leave security behind Source Cluster: The Register Source Node: 1956946Time Stamp: Mar 17, 2024
Gemma is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1956059Time Stamp: Mar 13, 2024
Over 100 Malicious Code-Execution Models on Hugging Face Source Cluster: MetaNews Source Node: 1953757Time Stamp: Mar 4, 2024
Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1953126Time Stamp: Feb 29, 2024
Hugging Face AI Platform Riddled With 100 Malicious Code-Execution Models Source Cluster: Dark reading Source Node: 1952538Time Stamp: Feb 29, 2024
Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1949509Time Stamp: Feb 19, 2024
Code Llama 70B is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1948531Time Stamp: Feb 16, 2024
How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1947388Time Stamp: Feb 13, 2024
Deploy large language models for a healthtech use case on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1945494Time Stamp: Feb 6, 2024
The role of the CPU in sustainable AI/ML Source Cluster: The Register Source Node: 1942396Time Stamp: Jan 29, 2024
Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1938762Time Stamp: Jan 19, 2024
Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1938138Time Stamp: Jan 17, 2024
Host the Whisper Model on Amazon SageMaker: exploring inference options | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1937849Time Stamp: Jan 16, 2024