Streamlining ETL data processing at Talent.com with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 3020315Time Stamp: Dec 14, 2023
Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 3012051Time Stamp: Dec 13, 2023
Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 3012419Time Stamp: Dec 13, 2023
Create a web UI to interact with LLMs using Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 3012421Time Stamp: Dec 12, 2023
Strategies for Optimizing Performance and Costs When Using Large Language Models in the Cloud – KDnuggets Source Cluster: KDnuggets Source Node: 3008547Time Stamp: Dec 12, 2023
Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2997598Time Stamp: Dec 6, 2023
Techniques for automatic summarization of documents using language models | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2997600Time Stamp: Dec 6, 2023
Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2997680Time Stamp: Dec 6, 2023
Enable faster training with Amazon SageMaker data parallel library | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2995002Time Stamp: Dec 5, 2023
Foundational data protection for enterprise LLM acceleration with Protopia AI | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2995080Time Stamp: Dec 5, 2023
5 Free Courses to Master MLOps – KDnuggets Source Cluster: KDnuggets Source Node: 2995211Time Stamp: Dec 5, 2023
How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2994249Time Stamp: Dec 4, 2023
Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2989153Time Stamp: Dec 1, 2023
Experience the new and improved Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987892Time Stamp: Dec 1, 2023
Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987895Time Stamp: Dec 1, 2023
Welcome to a New Era of Building in the Cloud with Generative AI on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987067Time Stamp: Nov 30, 2023
Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 2: Interactive User Experiences in SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987069Time Stamp: Nov 30, 2023
Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987135Time Stamp: Nov 30, 2023
New – Code Editor, based on Code-OSS VS Code Open Source now available in Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987139Time Stamp: Nov 30, 2023
Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2989158Time Stamp: Nov 30, 2023