AWS Machine Learning

DECEMBER 21, 2022

A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. The following code snippet shows you how to create a feature group using the Iceberg format and FeatureGroup.create API of the SageMaker SDK. You can also use the FeatureGroup().put_record

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

SEPTEMBER 9, 2022

From its first implementation in automated document services, touchlessly processing millions of provider-patient documents, to its more recent work in virtual assistants and improving revenue cycle performance, athenahealth continues to apply AI to help drive efficiency, service capabilities, and better outcomes for providers and their patients.

Engineering 75

Engineering Healthcare APIs Scripts 75

Cincom

MAY 3, 2024

Manually creating customized communication documents like quotes, invoices, contracts, and reports is an inefficient process prone to human error. If you’re considering implementing a document automation solution for your organization, there are several key capabilities to evaluate during your search. What Is Document Automation?

Enterprise 40

Enterprise CRM APIs Customer retention 40

AWS Machine Learning

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. When summarizing healthcare texts, pre-trained LLMs do not always achieve optimal performance.

Healthcare 107

Healthcare Engineering APIs Benchmark 107

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. Models with larger context windows can understand and generate longer sequences of text, which can be useful for tasks involving longer conversations or documents.

Engineering 104

Engineering Accountability Construction APIs 104

SmartAction

MAY 6, 2019

Data exchange to read and record data is a critical piece of AI automation implementation, and is generally setup via web services, APIs, or FTP file transfer. A great example is in the healthcare space , specifically around Explanation of Benefits documents. Virtual Agents Offer Predictive Personalization.

Self service 44

Self service Virtual Agent Best practices Contact Center 44

AWS Machine Learning

JANUARY 26, 2024

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services.

Best practices 124

Best practices Government Engineering Accountability 124

SmartAction

MAY 6, 2019

Data exchange to read and record data is a critical piece of AI automation implementation, and is generally setup via web services, APIs, or FTP file transfer. A great example is in the healthcare space , specifically around Explanation of Benefits documents. Virtual Agents Offer Predictive Personalization.

Self service 40

Self service Virtual Agent Best practices Contact Center 40

AWS Machine Learning

DECEMBER 29, 2022

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents.

APIs 88

APIs Banking Real estate Healthcare 88

AWS Machine Learning

JANUARY 19, 2024

Another example might be a healthcare provider who uses PLM inference endpoints for clinical document classification, named entity recognition from medical reports, medical chatbots, and patient risk stratification. The performance of the architecture is typically measured using metrics such as validation loss.

Metrics 98

Metrics Scripts Benchmark Enterprise 98

AWS Machine Learning

JUNE 7, 2023

LLM training on SageMaker SageMaker is a collection of managed APIs for developing, training, tuning, and hosting machine learning (ML) models, including LLMs. TII used transient clusters provided by the SageMaker Training API to train the Falcon LLM, up to 48 ml.p4d.24xlarge 24xlarge instances, cumulating in 384 NVIDIA A100 GPUs.

Technology 90

Technology APIs Engineering Education 90

AWS Machine Learning

NOVEMBER 1, 2023

However, like other nascent technologies, obstacles remain in managing model intricacy, harmonizing diverse modalities, and formulating uniform evaluation metrics. The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility. of OBELICS multimodal web documents.

APIs 93

APIs Engineering Construction Scripts 93

AWS Machine Learning

JANUARY 9, 2023

For example, a chatbot service or an application to process forms or analyze data from documents. You don’t need to provision instances, monitor instance health, manage security updates or patches, emit operational metrics, or build monitoring for your ML inference workloads.

Metrics 74

Metrics Best practices Engineering Management 74