AWS Machine Learning

JULY 10, 2024

red teaming) In April 2024, we announced the general availability of Guardrails for Amazon Bedrock and Model Evaluation in Amazon Bedrock to make it easier to introduce safeguards, prevent harmful content, and evaluate models against key safety and accuracy criteria. In February 2024, Amazon joined the U.S.

Government 124

Government Education Best practices APIs 124

AWS Machine Learning

MAY 2, 2024

We published a follow-up post on January 31, 2024, and provided code examples using AWS SDKs and LangChain, showcasing a Streamlit semantic search app. A common way to select an embedding model (or any model) is to look at public benchmarks; an accepted benchmark for measuring embedding quality is the MTEB leaderboard.

Benchmark 124

Benchmark Metrics Enterprise APIs 124

AWS Machine Learning

OCTOBER 21, 2024

In this blog post, we will introduce how to use an Amazon EC2 Inf2 instance to cost-effectively deploy multiple industry-leading LLMs on AWS Inferentia2 , a purpose-built AWS AI chip, helping customers to quickly test and open up an API interface to facilitate performance benchmarking and downstream application calls at the same time.

APIs 82

APIs Benchmark Education Marketing 82

AWS Machine Learning

SEPTEMBER 12, 2024

On Hugging Face, the Massive Text Embedding Benchmark (MTEB) is provided as a leaderboard for diverse text embedding tasks. It currently provides 129 benchmarking datasets across 8 different tasks on 113 languages. medium instance to demonstrate deploying the model as an API endpoint using an SDK through SageMaker JumpStart.

APIs 129

APIs Benchmark Enterprise Construction 129

AWS Machine Learning

APRIL 22, 2024

Figure 1: Examples of generative AI for sustainability use cases across the value chain According to KPMG’s 2024 ESG Organization Survey , investment in ESG capabilities is another top priority for executives as organizations face increasing regulatory pressure to disclose information about ESG impacts, risks, and opportunities.

Best practices 132

Best practices Benchmark Transportation Engineering 132

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. user id 111 Today: 09/03/2024 Certainly! Your appointment ID is XXXX.

Best practices 96

Best practices APIs Metrics Accountability 96

AWS Machine Learning

JULY 25, 2024

Although existing large language model (LLM) benchmarks like MT-bench evaluate model capabilities, they lack the ability to validate the application layers. Evaluator considerations By default, evaluators use the InvokeModel API with On-Demand mode, which will incur AWS charges based on input tokens processed and output tokens generated.

APIs 128

APIs Engineering Best practices Virtual Agent 128

AWS Machine Learning

MAY 17, 2024

What is Mixtral 8x22B Mixtral 8x22B is Mistral AI’s latest open-weights model and sets a new standard for performance and efficiency of available foundation models , as measured by Mistral AI across standard industry benchmarks. making the model available for exploring, testing, and deploying. Therefore, she sold the car for $18,248.33.

APIs 123

APIs Benchmark Personalization Enterprise 123

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. In March 2024, AWS announced it will offer the new NVIDIA Blackwell platform, featuring the new GB200 Grace Blackwell chip.

Benchmark 96

Benchmark Banking Analytics Big data 96

AWS Machine Learning

AUGUST 26, 2024

From the period of September 2023 to March 2024, sellers leveraging GenAI Account Summaries saw a 4.9% This involves benchmarking new models against our current selections across various metrics, running A/B tests, and gradually incorporating high-performing models into our production pipeline. The impact goes beyond just efficiency.

Sales 122

Sales Accountability Feedback Metrics 122

AWS Machine Learning

APRIL 8, 2024

In January 2024, Amazon SageMaker launched a new version (0.26.0) In this post, we explore the latest features introduced in this release, examine performance benchmarks, and provide a detailed guide on deploying new LLMs with LMI DLCs at high performance. of Large Model Inference (LMI) Deep Learning Containers (DLCs).

Engineering 106

Engineering Calibration APIs Enterprise 106

AWS Machine Learning

MARCH 15, 2024

Furthermore, model hosting on Amazon SageMaker JumpStart can help by exposing the endpoint API without sharing model weights. It also takes away potential high-level compute challenges with on-premises hardware with Amazon Elastic Compute Cloud (Amazon EC2) resources.

Healthcare 122

Healthcare Government Best practices Engineering 122

AWS Machine Learning

NOVEMBER 16, 2023

Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units. Users from several business units were trained and onboarded to the platform, and that number is expected to grow in 2024. Another important metric is the efficiency for data science users.

Healthcare 111

Healthcare Government Engineering APIs 111

AWS Machine Learning

DECEMBER 13, 2024

As of September 2024, the AI solution supports three core applications: Clearwater Intelligent Console (CWIC) Clearwaters customer-facing AI application. Crystal shares CWICs core functionalities but benefits from broader data sources and API access. The following image illustrates the solution architecture.

Analytics 75

Analytics Management Accountability Engineering 75

AWS Machine Learning

DECEMBER 2, 2024

At re:Invent 2024, we are excited to announce new capabilities to speed up your AI inference workloads with NVIDIA accelerated computing and software offerings on Amazon SageMaker. This integration provides a powerful multilingual model that excels in reasoning benchmarks.

Enterprise 108

Enterprise Benchmark Technology APIs 108

AWS Machine Learning

JULY 18, 2024

The ingestion workflow transforms these curated questions into vector embeddings using Amazon Titan Text Embeddings model API. Specific accounting knowledge that is relevant to the question and the model is not familiar with, such as updated data for 2024. The vector embeddings are persisted in the application in-memory vector store.

Chatbots 130

Chatbots APIs Accountability Finance 130

AWS Machine Learning

JANUARY 22, 2025

This was accomplished by using foundation models (FMs) to transform natural language into structured queries that are compatible with our products GraphQL API. 2024-10-{01/00:00:00--02/00:00:00}. For example, what if the model generates a filter with a key not supported by our API? Translate it to a GraphQL API request.

APIs 107

APIs Benchmark Engineering Enterprise 107

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 139

APIs Scripts Finance Real estate 139

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 104

Finance Benchmark Construction Enterprise 104

AWS Machine Learning

MARCH 10, 2025

Optimize DeepSeek-R1 prompts To get started with prompt optimization, select DeepSeek-R1 on the model playground on Amazon Bedrock, enter your prompt, and choose the magic wand icon, or use the Amazon Bedrock optimize_prompt() API. GPT 4o, and OpenAI O1 (more details in this paper ).

Benchmark 83

Benchmark APIs Engineering Technology 83

AWS Machine Learning

NOVEMBER 22, 2024

This post and the subsequent code implementation were inspired by one of the International Conference on Machine Learning (ICML) 2024 best papers on LLM debates Debating with More Persuasive LLMs Leads to More Truthful Answers. It uses a different dataset, TofuEval. Details on the exact dataset can be found in the GitHub repository.

Consulting 97

Consulting Consulting APIs Calibration 97

AWS Machine Learning

APRIL 4, 2025

When we launched LLM-as-a-judge (LLMaJ) and Retrieval Augmented Generation (RAG) evaluation capabilities in public preview at AWS re:Invent 2024 , customers used them to assess their foundation models (FMs) and generative AI applications, but asked for more flexibility beyond Amazon Bedrock models and knowledge bases.

Metrics 63

Metrics APIs Engineering Benchmark 63

AWS Machine Learning

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. To run this benchmark, we use sub-minute metrics to detect the need for scaling. The following table summarizes our setup.

Engineering 96

Engineering APIs Benchmark Technology 96