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Can session IDs distinguish a malicious application faking a restart? [closed]

Network Engineering

I mean I know this code is able to detect a change in session ID, but will this prevent the malicious application from deceiving the user into a second vote since it will have the same session ID? Or a malicious application would have another ways to overcome this? Is the problem solved this way?

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Skip the setup: deploy a Workers application in seconds

CloudFaire

You can now add a Deploy to Cloudflare button to the README of your Git repository containing a Workers application making it simple for other developers to quickly set up and deploy your project! But we think theres another part of the story. These projects are designed to be shared, deployed, customized, and contributed to.

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Introducing Docker Model Runner: A Better Way to Build and Run GenAI Models Locally

Docker Blog

Todays developers face fragmented tooling, hardware compatibility headaches, and disconnected application development workflows, all of which hinder iteration and slow down progress. LLM development is evolving: Were making it local-first Local development for applications powered by LLMs is gaining momentum, and for good reason.

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Cisco Catalyst Center Template Labs – Application Visibility, Part 5

Cisco Wireless

This episode focuses on deploying an Application Policy and enhancing Application Visibility through the use of CBAR via Catalyst Center.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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How YouTube Supports Billions of Users with MySQL and Vitess

ByteByteGo

When developers first build a web or mobile application, setting up the backend is fairly straightforward. Typically, they spin up a MySQL database and connect it to their application via a few web servers. Reads and writes are fast, and backups can be taken by temporarily pausing the application if needed.

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Run LLMs Locally with Docker: A Quickstart Guide to Model Runner

Docker Blog

AI is quickly becoming a core part of modern applications, but running large language models (LLMs) locally can still be a pain. Speaking of interacting with models from other processes, lets have a look at how to integrate with Model Runner from within your application code. In this example, I’m using Java and LangChain4j.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Save your seat and register today! 📆 June 4th 2024 at 11:00am PDT, 2:00pm EDT, 7:00pm BST

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .