AWS Machine Learning

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools Amazon SageMaker Studio offers a broad set of […]

Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions Machine learning (ML) models do not operate in […]

Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2 In this post, we showcase fine-tuning a Llama 2 model using a […]

Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe Meeting notes are a crucial part of collaboration, yet […]

Vodafone advances its machine learning skills with AWS DeepRacer and Accenture Vodafone is transitioning from a telecommunications company (telco) […]

Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium Large language models (or LLMs) have become a topic […]

Create a web UI to interact with LLMs using Amazon SageMaker JumpStart The launch of ChatGPT and rise in popularity of generative AI have captured […]

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions This is a guest post co-authored by Nafi Ahmet Turgut, Mehmet İkbal […]

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot This post […]

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock Conversational AI has come a […]

Techniques for automatic summarization of documents using language models Summarization is the technique of condensing sizable information into a […]

Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart Despite the […]

Foundational data protection for enterprise LLM acceleration with Protopia AI This post is written in collaboration with Balaji Chandrasekaran, […]

Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra Structured data, defined as data […]

Enable faster training with Amazon SageMaker data parallel library Large language model (LLM) training has become increasingly popular over the last […]

How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch This is a guest post co-authored by Nafi Ahmet Turgut, Hasan […]

Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker As organizations scale the adoption of […]

Experience the new and improved Amazon SageMaker Studio Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine […]

Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning The ability to quickly build and […]

Evaluate large language models for quality and responsibility The risks associated with generative AI have been well-publicized. Toxicity, bias, […]