AWS Machine Learning Blog

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

Metadata 120

Metadata Auto-classification Auto-complete Content Enrichment 120

AWS Machine Learning Blog

JANUARY 7, 2025

The solution proposed in this post relies on LLMs context learning capabilities and prompt engineering. When using the FAISS adapter, translation units are stored into a local FAISS index along with the metadata. The request is sent to the prompt generator.

Large Language Models 110

Large Language Models Prompt Engineering Prompt Engineer Metadata 110

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Various prompting techniques, such as Zero/Few Shot, Chain-of-Thought (CoT)/Self-Consistency, ReAct, etc.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

The MLOps Blog

JUNE 27, 2023

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MAY 17, 2023

You can use large language models (LLMs), more specifically, for tasks including summarization, metadata extraction, and question answering. SageMaker endpoints are fully managed and support multiple hosting options and auto scaling. Complete the following steps: On the Amazon S3 console, choose Buckets in the navigation pane.

Large Language Models 98

Large Language Models Auto-complete ML Generative AI 98

AWS Machine Learning Blog

JUNE 20, 2024

Additionally, evaluation can identify potential biases, hallucinations, inconsistencies, or factual errors that may arise from the integration of external sources or from sub-optimal prompt engineering. In this case, the model choice needs to be revisited or further prompt engineering needs to be done.

Auto-classification 135

Auto-classification LLM Prompt Engineering Prompt Engineer 135

John Snow Labs

OCTOBER 12, 2023

In this release, we’ve focused on simplifying model sharing, making advanced features more accessible with FREE access to Zero-shot NER prompting, streamlining the annotation process with completions and predictions merging, and introducing Azure Blob backup integration. Click “Submit” to finalize.

NLP 52

NLP Auto-complete Auto-classification Prompt Engineering 52