AWS Machine Learning Blog

AUGUST 2, 2023

Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon Kendra is an intelligent search service powered by machine learning (ML).

Automation 69

Automation Generative AI Metadata Data Scientist 69

AWS Machine Learning Blog

NOVEMBER 22, 2023

Use the “Generative AI” tag as you are browsing the session catalog to find them. Chalk talks – Enjoy 60 minutes of content delivered to smaller audiences with an interactive whiteboarding session. Visit the session catalog to learn about all our generative AI and ML sessions. or “Because you watched.”

ML 103

ML Generative AI Prompt Engineer Prompt Engineering 103

AWS Machine Learning Blog

NOVEMBER 21, 2023

Building document processing and understanding solutions for financial and research reports, medical transcriptions, contracts, media articles, and so on requires extraction of information present in titles, headers, paragraphs, and so on. List – Any information grouped together in list form. Title – The main title of the document.

Generative AI 81

Generative AI LLM AI AI 81

AWS Machine Learning Blog

MAY 5, 2023

However, generic search queries would span a wide range of services and across different content creation dates. Users would need to manually select suitable architectural candidates based on specific services and consider the relevance of the architecture design choices according to the content creation date and query date.

Metadata 100

Metadata ETL ML Data Ingestion 100

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. Furthermore, he highlights how the subgroups can inform reliable model usage, noting the significant impact of the Ambiguous subgroup on model generalization.

Data Scientist 64

Data Scientist AI AI ML 64

Snorkel AI

SEPTEMBER 29, 2023

LLMs embody a wealth of useful information in their pre-trained weights, but they typically fall short of a full solution out of the box. This process takes raw documents, files, or tabular records and adds one or more tags or labels to each. This approach applies across all data modalities.

Large Language Models 59

Large Language Models Machine Learning Data Science Data Scientist 59

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. Furthermore, he highlights how the subgroups can inform reliable model usage, noting the significant impact of the Ambiguous subgroup on model generalization.

Data Scientist 59

Data Scientist AI AI ML 59

Snorkel AI

FEBRUARY 13, 2023

But there are also other teams such as Content Discovery, where we recommend the right show at the right time. That completes all the information necessary to then identify the correct business action. In our catalogs, we have millions of entities and hundreds of thousands are often added every single day. And they change.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

Snorkel AI

FEBRUARY 13, 2023

But there are also other teams such as Content Discovery, where we recommend the right show at the right time. That completes all the information necessary to then identify the correct business action. In our catalogs, we have millions of entities and hundreds of thousands are often added every single day. And they change.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

AWS Machine Learning Blog

JULY 3, 2023

In computer vision (CV), adding tags to identify objects of interest or bounding boxes to locate the objects is called labeling. For more information on JumpStart and asynchronous inference, refer to SageMaker JumpStart and Asynchronous inference , respectively. First, we download and prepare the date for inference.

Deep Learning 78

Deep Learning Auto-complete Machine Learning ML 78

Sebastian Ruder

NOVEMBER 14, 2022

The ACL has also launched the 60-60 initiative , which aims to make scientific content more accessible by creating a) translations of the entire ACL anthology into 60 languages; b) cross-lingual subtitling and dubbing for all plenary talks in 10 languages; and c) a comprehensive standardized scientific and NLP terminology list in 60 languages.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

The MLOps Blog

AUGUST 3, 2023

Depending on your size, you might have a data catalog. Maybe storing and emitting open lineage information, etc. There was a tech branding team that I was part of, which was trying to get quality content out. For example, you can stick in the model, but you can also stick a lot of metadata and extra information about it.

ML 52

ML Data Scientist Software Engineer Machine Learning 52