Generative Data Intelligence

Tag: user input

Behind the Scenes: Never Trust User Input

This article is the first in a series of posts I'm writing about running various SaaS products and websites for the last 8 years....

Ray-Ban Meta Glasses Are About to Get Smarter with Object Recognition Beta

Ray-Ban and Meta’s second-generation smartglasses are slated to get a lot smarter starting this week, as the company launched an opt-in beta in the...

Researchers Use AI to Jailbreak ChatGPT, Other LLMs

The exploding use of large language models in industry and across organizations has sparked a flurry of research activity focused on testing the susceptibility...

APIs: The silent fintech security concern

A quarterly report published by integrated app and security platform Wallarm gives granular attention to a little-discussed but critical security concern for fintechs – their APIs....

Patch Now: Critical Atlassian Bugs Endanger Enterprise Apps

It's time to patch again: Four critical security vulnerabilities in Atlassian software open the door to remote code execution (RCE) and subsequent lateral movement...

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...

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action | Amazon Web Services

This post was co-written with Greg Benson, Chief Scientist; Aaron Kesler, Sr. Product Manager; and Rich Dill, Enterprise Solutions Architect from SnapLogic. Many customers...

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search | Amazon Web Services

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such...

LangChain: A Complete Guide & Tutorial

At its core, LangChain is an innovative framework tailored for crafting applications that leverage the capabilities of language models. It's a toolkit designed for...

Build trust and safety for generative AI applications with Amazon Comprehend and LangChain | Amazon Web Services

We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across industries. LLMs are capable...

How to Optimize Security in Embedded Finance

Embedded finance has emerged as a critical component in today's fintech ecosystem, offering an agile, seamless, and consumer-centric way to deliver financial services. This...

Personalize your generative AI applications with Amazon SageMaker Feature Store | Amazon Web Services

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The applications also extend into...

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