How Amazon Search M5 saved 30% for LLM training cost by using AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1917751Time Stamp: Nov 22, 2023
Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1915773Time Stamp: Nov 20, 2023
KT’s journey to reduce training time for a vision transformers model using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1915775Time Stamp: Nov 20, 2023
Fine-tune Whisper models on Amazon SageMaker with LoRA | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1914116Time Stamp: Nov 16, 2023
Model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1915459Time Stamp: Nov 14, 2023
Dialogue-guided visual language processing with Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1908435Time Stamp: Nov 1, 2023
Intuitivo achieves higher throughput while saving on AI/ML costs using AWS Inferentia and PyTorch | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1906297Time Stamp: Oct 26, 2023
From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1905366Time Stamp: Oct 23, 2023
25 Best Oculus Quest Games & Best Meta Quest 2 Games Source Cluster: UploadVR Source Node: 1901096Time Stamp: Oct 11, 2023
FIFA Fans Left Disappointed as Soccer Series Gets Scrapped Source Cluster: MetaNews Source Node: 1898375Time Stamp: Oct 5, 2023
Train and deploy ML models in a multicloud environment using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1892055Time Stamp: Sep 20, 2023
Fine-tune Falcon 7B and other LLMs on Amazon SageMaker with @remote decorator | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1889552Time Stamp: Sep 14, 2023
Accelerate client success management through email classification with Hugging Face on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1888752Time Stamp: Sep 12, 2023
Run multiple generative AI models on GPU using Amazon SageMaker multi-model endpoints with TorchServe and save up to 75% in inference costs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1887176Time Stamp: Sep 6, 2023
Train self-supervised vision transformers on overhead imagery with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1876276Time Stamp: Aug 16, 2023
Intelligent video and audio Q&A with multilingual support using LLMs on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1875893Time Stamp: Aug 15, 2023
Fantom`s SpiritSwap Nears Closure, Community at Crosshairs – Investor Bites Source Cluster: Investor Bites Source Node: 1873231Time Stamp: Aug 9, 2023
Exploring summarization options for Healthcare with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1870193Time Stamp: Aug 1, 2023
Unlocking creativity: How generative AI and Amazon SageMaker help businesses produce ad creatives for marketing campaigns with AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1870195Time Stamp: Aug 1, 2023
Maximize Stable Diffusion performance and lower inference costs with AWS Inferentia2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1867161Time Stamp: Jul 26, 2023