Tag: AI use cases
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Smart Savings: How AI Can Drive Cost Reduction in Financial Services
The financial services industry faces constant change, from rapid technological advances to new regulations and evolving customer expectations. For financial services companies to succeed...
Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart | Amazon Web Services
Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI...
CCC Responds to OMB RFC on Advancing Governance, Innovation, and Risk Management for Agency Use of AI Draft Policy » CCC Blog
December 6th, 2023 / in CCC / by Haley Griffin Yesterday, December 5, CCC submitted a response to the...
How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot | Amazon Web Services
This post is co-written with Stanislav Yeshchenko from Q4 Inc. Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A...
IBM and Meta Form AI Alliance for an Open AI Ecosystem
Meta, in conjunction with International Business Machines (IBM), has created an AI Alliance—a coalition of AI firms and research institutions pushing for a responsible...
Foundational data protection for enterprise LLM acceleration with Protopia AI | Amazon Web Services
This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. New and powerful large...
Singapore Updates AI Strategy to Tackle GenAI Risks
Singapore has updated its AI strategy, which will see it triple AI talent, address the emerging risks from generative AI, and have implications for...
Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements | Amazon Web Services
Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML)...
Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1 | Amazon Web Services
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...
Real AI use cases in crypto, No. 3: Smart contract audits & cybersecurity
Every day this week we’re highlighting one genuine, no bullsh*t, hype free use case for AI in crypto. Today it’s the potential for using...
Your guide to generative AI and ML at AWS re:Invent 2023 | Amazon Web Services
Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! You marked your calendars, you booked...
Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine | Amazon Web Services
The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. In addition,...
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