August, 2024

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How to avoid common mistakes when adopting AI  

Cisco Wireless

Adopting AI requires a measured approach. Gartner outlines 5 phases to avoid major pitfalls and maximize chances of successful AI implementation.

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Long Context RAG Performance of LLMs

databricks

Retrieval Augmented Generation (RAG) is the most widely adopted generative AI use case among our customers. RAG enhances the accuracy of LLMs by.

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can't ping IPv6 local link

Network Engineering

I am new to IPv6 world. I feel like I should be able to do this but I am not sure what I am doing wrong. I have a GNS3 server deployed in Digtal Ocean. I have deployed a Mikrotik and connected it to the eth0 port on the cloud interface. On GNS3 server, when I run IP address show, I get a bunch of results. For security purposes I will redact any public IP and just show the link local address of my eth0 interface eth0: mtu 1500 qdisc fq_codel state UP group default qlen 1000 link/ether da:b7:8d:c8

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Feeling like a Puppet

SubnetZero

Starting a new job is always a challenge. It’s one thing to do an internal transfer within a company, like I did when moving from Technical Marketing Engineer to Product Management. I even stayed in the same team. But moving to a new company and new role is overwhelming and risky.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Understanding licenseDetails GraphAPI

Faris Malaeb

Playing with GraphAPI is fun, as it gives a straightforward way to read data and integrate user information with any application. In this post, I will explain the licenseDetails endpoint and how to use it. Prerequisites Using Microsoft Graph Explorer is the easiest way to test these endpoints. Working with licenseDetailsEndpoint I use Microsoft Graph.

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Article: WebAssembly the Safer Alternative to Integrating Native Code in Java

InfoQ Articles

Developers typically choose between porting the code or dynamic linking to run native code on the JVM. This article examines these approaches, using SQLite as an example, and introduces a third option: Chicory Wasm runtime. This alternative combines the advantages of traditional methods while addressing their limitations, potentially offering a more secure solution to integrate native code.

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More Trending

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Databricks Clean Rooms for privacy-safe collaboration is in Public Preview

databricks

Fueled by the exponential growth in external data and AI for innovation, organizations across all industries are looking for effective ways to collaborate.

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AVocent ACS32 console cable

Network Engineering

I have a avocent acs32 and and a juniper qfx10002-36q, i want to connect my qfx1k console port to avocent acs32 to be able to manage it as out of band, should i use normal ethernet cable to connect them or should i use crossover cable?

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Why I am not an FBI Agent

SubnetZero

Some years back I wrote a post poking fun at the Federal Bureau of Investigation, based on an experience I had at a briefing in their office. The funny thing is–and this did not color my article– there was a point in my life when I badly wanted to be an FBI agent.

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Understanding Get-EXORecipient

Faris Malaeb

This guide will provide you with the knowledge and tools you need to effectively manage your Office 365 mailbox using the Get-EXORecipient. Understanding Exchange Recipient Type Details When managing an Exchange environment, understanding the different types of recipients is crucial for effective administration. Exchange Online supports a variety of recipient types, each serving different purposes.

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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. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 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.

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A RoCE network for distributed AI training at scale

Engineering at Meta

AI networks play an important role in interconnecting tens of thousands of GPUs together, forming the foundational infrastructure for training, enabling large models with hundreds of billions of parameters such as LLAMA 3.1 405B. This week at ACM SIGCOMM 2024 in Sydney, Australia, we are sharing details on the network we have built at Meta over the past few years to support our large-scale distributed AI training workload.

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Harnessing the Power of AI to Improve Operations

Cisco Wireless

This blog explores the paradigm shift brought about by AIOps, which combines the power of AI and automation to streamline IT operations, enhance decision-making, and drive proactive problem resolution.

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Announcing General Availability of Lakehouse Federation

databricks

Today, we are excited to announce that Lakehouse Federation in Unity Catalog is now Generally Available (GA) across AWS, Azure, and GCP! Lakehouse.

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How to combine port forwarding and NAT/PAT on Cisco router?

Network Engineering

I have a problem, that I cannot bring together working PAT and Port forwarding on a Cisco router. Here is my topology: Explanation to topology: Start connection sourced by 192.168.1.1 with destination port 1234 and destination ip address 192.168.1.2 on f1/0. Then router forwards connection to destination ip address 192.168.2.2 and destination port 5678 out of f0/0.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Edge vs. Cloud: The Data Dilemma of AI-Powered IoT

Dataversity

As artificial intelligence (AI) integrates with the Internet of Things (IoT), a trillion-dollar question emerges: Is it better to process device data at the edge or in the cloud? This decision carries significant implications for privacy, performance, and the future of smart devices. So, let’s explore the growth of autonomous smart devices, examine the key […] The post Edge vs.

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Article: Architectural Retrospectives: The Key to Getting Better at Architecting

InfoQ Articles

The purpose of an architectural retrospective is to use experience to help the development team improve their architecting skills and their way of working as they make architectural decisions. This is different than traditional architecture reviews which are focused on improving the architecture.

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How Meta enforces purpose limitation via Privacy Aware Infrastructure at scale

Engineering at Meta

At Meta, we’ve been diligently working to incorporate privacy into different systems of our software stack over the past few years. Today, we’re excited to share some cutting-edge technologies that are part of our Privacy Aware Infrastructure (PAI) initiative. These innovations mark a major milestone in our ongoing commitment to honoring user privacy.

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Stay in the H2 know – providing clean water with Cisco industrial IoT

Cisco Wireless

Learn how the Ontario Clean Water Agency (OCWA) manages hundreds of water and wastewater facilities as easily as one.

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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

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Announcing Hybrid Search General Availability in Mosaic AI Vector Search

databricks

We're excited to announce the general availability of hybrid search in Mosaic AI Vector Search. Hybrid search is a powerful feature that combines.

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Lab] Cisco, ensuring traffic goes between a specific switch port and trunk port

Network Engineering

I am not even sure how to search this. I need gi2/12 to only be able to talk to 1 specific vm as it needs direct internet access. how does one protect vlanX from receiving any traffic on a vlan that is setup specifically to tie physical port gi2/12 to a specific vm through a trunk/lag port ? GI2/12 is connected directly to the isp modem. due to circumstance I am currently unable to install another network card to allow a dedicated Ethernet port. the vm would be assigned a 72.x ip and be talking

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How to Win the War Against Bad Master Data

Dataversity

Master data lays the foundation for your supplier and customer relationships. It identifies who you are doing business with, how you will do business with them, and how you will pay them or vice versa – not to mention it can prevent fraud, fines, and errors. However, teams often fail to reap the full benefits […] The post How to Win the War Against Bad Master Data appeared first on DATAVERSITY.

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Article: Cloud Waste Management: How to Optimize Your Cloud Resources

InfoQ Articles

The 2024 "State of FinOps" survey results of the FinOps Foundation mentioned that organizations' top priorities have shifted to reducing cloud waste or unused resources. This article delves into understanding how to manage cloud waste.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Blog Updates

SubnetZero

Updates for my regular readership of two people plus 5000 spambots: I stayed away from the blog for a long time because I made the mistake of sharing my last post, on HPE/Juniper, on LinkedIn. Imagine the panic when people actually read it, including SVPs at Cisco.

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Customer Experience is a Learning Experience

Cisco Wireless

Learn more about the beginnings of Tal Schierau's career and see how he got started in customer experience. You might learn a little along the way, just like he has!

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Accelerate Feature Engineering With Photon

databricks

Training a high-quality machine learning model requires careful data and feature preparation. To fully utilize raw data stored as tables in Databricks, running.

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Versioning doesn't make it any easier to manage change in APIs

Ben Morris

Change in your API contracts is inevitable, but trying to manage this change through versioning usually creates more problems than it solves.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr

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Embracing Data and Emerging Technologies for Quality Management Excellence

Dataversity

In today’s rapidly evolving business landscape, the role of quality management (QM) is undergoing a significant transformation. No longer just a compliance checkbox, QM is emerging as a strategic asset that can drive continuous improvement and operational excellence. This shift is largely propelled by the adoption of intelligent technologies and the strategic use of data, […] The post Embracing Data and Emerging Technologies for Quality Management Excellence appeared first on DATAVERSITY.

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Article: Prepare to Be Unprepared: Investing in Capacity to Adapt to Surprises in Software-Reliant Businesses

InfoQ Articles

Incidents are often perceived as extraordinary aberrations, unconnected to "normal" work. For over twenty years, the field of Resilience Engineering has aimed at flipping this approach around — by understanding what makes incidents so rare (relative to when and how they do not happen) and so minor (relative to how much worse they can be) and deliberately enhancing what makes that possible.

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Real-time mouse pointers

Canva Dev

Our journey to implement and support real-time mouse pointers.

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The Power of Reporting at Cisco Black Belt Academy: Driving Success for Partners

Cisco Wireless

Discover how Cisco Black Belt Academy's advanced reporting and AI-driven insights empower partners and distributors to make informed decisions, optimize strategies, and achieve business success through customized training and real-time data

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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. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy fo