AWS Machine Learning

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. 2022) introduced an idea of zero-shot CoT by using FMs’ untapped zero-shot capabilities. Kojima et al.

Best practices 129

Best practices Engineering Chatbots Enterprise 129

AWS Machine Learning

DECEMBER 16, 2022

You can learn more about Stability AI’s mission and partnership with AWS in the talk of Stability AI CEO at AWS re:Invent 2022 or in this blog post. Finally, we’ll benchmark performance of 13B, 50B, and 100B parameter auto-regressive models and wrap up with future work. Benchmarking performance. 13B parameter GPT-NeoX.

Benchmark 86

Benchmark Engineering APIs Scripts 86

AWS Machine Learning

JANUARY 10, 2023

We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements. For example, if you client is making the InvokeEndpoint API call over the internet, from the client’s perspective, the end-to-end latency would be internet + ModelLatency + OverheadLatency.

Best practices 90

Best practices Scripts APIs Metrics 90

AWS Machine Learning

APRIL 12, 2023

For a single model registration we can use the ModelStep API to create a SageMaker model in registry. The SageMaker Python APIs also allowed us to send custom metadata that we wanted to pass to select the best models. This allows us to compare training metrics like accuracy and precision across multiple runs as shown below.

Scripts 101

Scripts APIs Metrics Best practices 101

AWS Machine Learning

OCTOBER 27, 2022

To address this issue, in July 2022, we launched heterogeneous clusters for Amazon SageMaker model training, which enables you to launch training jobs that use different instance types in a single job. Performance benchmark results. For more information, refer to Using the SageMaker Python SDK and Using the Low-Level SageMaker APIs.

Scripts 86

Scripts Benchmark Metrics Transportation 86

AWS Machine Learning

FEBRUARY 16, 2023

In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS. The shell script invokes the Python script via the neuron_parallel_compile API to compile the model into graphs without a full training run.

Scripts 99

Scripts APIs Benchmark Engineering 99

AWS Machine Learning

DECEMBER 6, 2022

The Trainer class provides an API for feature-complete training in PyTorch. We observe that the adversarial trained model has a lower ASR, with an 62.21% decrease using the original model ASR as the benchmark. AWS offers pre-trained AWS AI services that can be integrated into applications using API calls and require no ML experience.

Engineering 91

Engineering APIs Construction Benchmark 91

NobelBiz

FEBRUARY 15, 2023

Integration with your current software (CRM, API etc.) In 2023, global end-user expenditure on public cloud services is projected to reach $591,8 billion, up from $490,3 billion in 2022. predicted for 2022. As a result, your agents may handle inquiries in an individualized and timely fashion across all channels.

Call Center 52

Call Center Scripts Average Handle Time Customer effort 52

JustCall

MARCH 9, 2023

billion , from 2022 to 2028, with a CAGR of 21.8%. Conversational AI enables the system to perform end-to-end actions through Application Programming Interfaces (API). You can compare your reps’ performance with industry benchmarks across industries and roles. These features facilitate more autonomous tasks.

Coaching 52

Coaching Sales Chatbots Analytics 52

SmartKarrot

JANUARY 6, 2022

If yes, in this write-up, we have covered the top 10 conversation intelligence software that you need to check out in 2022. Best conversation intelligence software for 2022. Here is a well-curated list of the best conversation intelligence software for 2022. Sign up for our newsletter. contact-form-7]. CallHippo Coach.

Coaching 10

Coaching SaaS Benchmark Feedback 10

ProProfs Blog

OCTOBER 25, 2021

Create actionable industry benchmarks spread over the industry, touchpoint, or channels. With Trustpilot’s API, customize review invitations via chat, QR code, and more. For example, you can easily connect IdeaScale to APIs like Yammer, Slack, Trello, and so on. Pricing: Custom Pricing. Online Review Tools.

Feedback 148

Feedback Surveys Enterprise Analytics 148

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 140

APIs Scripts Finance Real estate 140

AWS Machine Learning

JANUARY 7, 2025

These managed agents play conductor, orchestrating interactions between FMs, API integrations, user conversations, and knowledge bases loaded with your data. If the user request invokes an action, action groups configured for the agent will invoke different API calls, which produce results that are summarized as the response to the user.

Chatbots 107

Chatbots Management APIs Best practices 107

AWS Machine Learning

NOVEMBER 26, 2024

Figure 1: Confusion matrix for the five-severity-level classification using Anthropic Claude 3 Sonnet The performance observed in this benchmark task indicates this is a particularly hard problem for an unmodified, all-purpose LLM, and the problem requires a more specialized model, specifically trained or fine-tuned on cybersecurity data.

APIs 96

APIs Metrics SaaS Engineering 96

AWS Machine Learning

JANUARY 14, 2025

For example, in the case of travel planning, the agent would need to maintain a high-level plan for checking weather forecasts, searching for hotel rooms and attractions, while simultaneously reasoning about the correct usage of a set of hotel-searching APIs. We refer to this approach as assertion-based benchmarking.

Finance 106

Finance Benchmark Construction Enterprise 106