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Generative AI

Construct Salesforce applications powered by generative AI using Amazon Bedrock.

Salesforce Data Cloud and Einstein Model Builder are partnering with Amazon Web Services (AWS) and its Amazon Bedrock service to enable the use of Large Language Models (LLMs) in generative artificial intelligence (AI) applications. This integration was revealed by Salesforce's Daryl Martis and Darvish Shadravan. Salesforce can bring its own LLMs from AWS accounts to…

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Enhancing the performance of Salesforce Einstein’s code generation model using Amazon SageMaker

This is a joint collaboration post between Salesforce and AWS, in which they discuss how the Salesforce Einstein AI Platform team has utilized Amazon SageMaker to enhance the efficiency and performance of their code generation LLM (Large Language Models) features, known as CodeGen. Salesforce, a cloud-based software company, offers customer relationship management (CRM) software applications focused…

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Experimenting with Large-scale Machine Learning using Amazon SageMaker Pipelines and MLflow

This post explains how large language models (LLMs) can be fine-tuned to better adapt to specific domains or tasks, using Amazon SageMaker and MLflow. When working with LLMs, customers may have varied requirements such as choosing a suitable pre-trained foundation model (FM) or customizing an existing model for a specific task. Using Amazon SageMaker with…

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DigiXT Prism AI – An Essential Efficiency Booster for Commercial Users

Prism AI, featured as part of the DigiXT suite, is an advanced artificial intelligence solution designed to facilitate analytics and business reporting. It acts as a "co-pilot" for various roles: business users, data engineers, and scientists. By addressing key challenges such as insights generation, effective visualization, and collaboration, Prism AI is building the bridge towards…

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