AWS Machine Learning

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. There are three general types of vector databases: Dedicated SaaS options like Pinecone.

Best practices 110

Best practices Engineering SaaS APIs 110

Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. I watched Account Management transform and evolve over the past few years, especially with the subscription-based economy and the growth of SaaS. You’ll need to put in work to stay relevant.

B2C 0

B2C SaaS Accountability B2B 0

Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. I watched Account Management transform and evolve over the past few years, especially with the subscription-based economy and the growth of SaaS. You’ll need to put in work to stay relevant.

B2C 60

B2C SaaS Accountability B2B 60

AWS Machine Learning

NOVEMBER 22, 2023

Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. Additionally, SaaS providers need scalable and cost-effective ways to serve hundreds of models to their customers.

Engineering 108

Engineering Best practices APIs Government 108

AWS Machine Learning

DECEMBER 8, 2022

One of their products is ExaDeploy , an easy-to-use SaaS solution to serve ML workloads at scale. On some large batch ML workloads, ExaDeploy has reduced costs by over 85% without sacrificing on latency or accuracy, with integration time as low as one engineer-day. Nicholas Jiang, Software Engineer, Exafunction.

Engineering 67

Engineering APIs Metrics SaaS 67

JivoChat

JUNE 8, 2022

You will learn how to build websites and web apps, the latest technologies including JavaScript, React and Node, and professional web developer best practices. You will learn the needed software skills to acquire a software engineering job. Integrate React with advanced browser features, even geolocation API’s!

APIs 75

APIs SaaS Engineering Best practices 75

AWS Machine Learning

MARCH 28, 2024

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. Instead, adhere to the security best practices in AWS Identity and Access Management (IAM), and create an administrative user and group. We use an ml.t3.medium

Telecommunications 109

Telecommunications Healthcare Transportation Accountability 109

Help Scout

DECEMBER 18, 2018

Sure, we follow our fair share of best practices here at Help Scout. The problem with following best practices, however — as Jay Acunzo writes in his excellent new book, Break the Wheel — is that “Just because something is the most common approach doesn’t mean it’s the best approach for us.” APIs versus Web app).

Best practices 40

Best practices Engineering Education Marketing 40

Comm100

NOVEMBER 23, 2020

The system has a plethora of different integrations through their library of pre-built integrations such as SalesForce, or if you have any self-hosted reporting does then you can integrate directly through the Comm100 API.” Intercom was founded in California in 2011 by four Irish designers and engineers. 4.5 / 5 (Capterra).

Chatbots 52

Chatbots Enterprise CRM Customer Support 52

AWS Machine Learning

MARCH 19, 2024

Furthermore, the use of prompt engineering can notably enhance their performance. With the batch inference API, you can use Amazon Bedrock to run inference with foundation models in batches and get responses more efficiently. The service is in preview as of this writing and only available through the API. split("/")[-1]}.out'

APIs 100

APIs Benchmark SaaS Engineering 100

AWS Machine Learning

FEBRUARY 19, 2024

With this architecture, a software as a service (SaaS) business can break the linearly increasing cost of hosting multiple models and achieve reuse of infrastructure consistent with the multi-tenancy model applied elsewhere in the application stack. This instructs DJLServing to use the Python engine.

APIs 91

APIs Engineering Scripts Metrics 91

AWS Machine Learning

NOVEMBER 30, 2023

As democratization of foundation models (FMs) becomes more prevalent and demand for AI-augmented services increases, software as a service (SaaS) providers are looking to use machine learning (ML) platforms that support multiple tenants—for data scientists internal to their organization and external customers.

Chatbots 80

Chatbots SaaS Engineering APIs 80

AWS Machine Learning

JANUARY 9, 2023

Strict service level agreements (SLAs) need to be met, and a typical request may require multiple steps such as preprocessing, data transformation, feature engineering, model selection logic, model aggregation, and postprocessing. Deploying ML models at scale with optimized cost and compute efficiencies can be a daunting and cumbersome task.

Metrics 73

Metrics Best practices Engineering Management 73