Alborz Geramifard’s Post

Learn why do so many AI projects miss the mark. The answer often lies in one place: the data. Integrating external data into your AI models can be a game-changer, but only if you get it right. Discover how the right approach can help. https://imsap.co/6041ATNtB

As a follow-up to my post about centaurs/reverse centaurs yesterday, Ethan Mollick wrote this piece that made a similar point about the latest class of AI tools. He writes that we are handing off more of the process to AI, treating it like a wizard, but that there still exists a as-he-calls-it "jagged frontier". There are many tasks that advanced models cannot complete without human intervention. https://lnkd.in/ewRkhPYG

LLMs are powerful tools that can help you with many tasks. But they're reactive, and they wait for your input before doing anything. Here, Balajee goes over how to use LLM agents, which have memory and autonomy, to take your use of AI to the next level. https://lnkd.in/gSZeEdHt

Thank you, freeCodeCamp, for sharing these valuable insights on the evolution of AI from reactive LLMs to autonomous agents with memory! It's truly exciting to see how these advanced capabilities can elevate our approach to AI applications. For individuals looking to delve deeper into creating intelligent systems, our Building AI Agents Trained on Your Own Data certification is an excellent next step. This program empowers you to design and implement sophisticated AI agents, allowing you to build solutions that go beyond simple input-output interactions and genuinely 'learn' and adapt. Link: https://lnkd.in/ejHyg2Zm

Struggling to manage multiple AI systems? Learn how to transform complex workflows into a unified powerhouse with our complete guide to AI orchestration 🧩 https://lnkd.in/ggutfDfg

Thinking about using AI but not sure where to start? As part of a joint initiative between New Icon, Code Institute, WEAF, and Sandler South West, you can access a free AI Readiness Check designed to help businesses understand where they stand and what to do next. Here’s what you’ll gain: -A personalised readiness report tailored to your organisation -Expert support to help you interpret the results -Practical next steps for embedding AI effectively This initiative is open beyond aerospace - so if you’re interested in levelling up your AI capability, now’s the time to dive in. Find out more: https://lnkd.in/e_FdKrsQ Sign up to the webinar, here: https://lnkd.in/erY2dHVC

Why do so many AI projects miss the mark? The answer often lies in one place: the data. 📊 Integrating external data into your AI models can be a game-changer, but only if you get it right. Discover how the right approach can help. 👉 https://imsap.co/6041ArNgP

Struggling to manage multiple AI systems? Learn how to transform complex workflows into a unified powerhouse with our complete guide to AI orchestration 🧩 https://lnkd.in/ggkTZ8G4

Watch this insightful webinar that explores how GitHub Copilot can supercharge the development of Generative AI model pipelines. We provide an in-depth look at the fine-tuning process, helping you understand its importance in optimizing model performance. Watch the video: https://lnkd.in/gD2mmPqS

crazy how fast ai is moving: remember the “advanced” stuff we covered earlier this year? it already feels like old news. that’s why it’s now packed into the fundamentals section of the workshop organised by the european campaign playbook. still, this article will help you catch up, with clear definitions and recordings where i walk through, step by step, how to create and build ai agents. and if you want to go deeper (and stay ahead of the curve), check out the dates for our next workshops: 🌐 level 1: fundamentals + ai agents 10 oct | brussels 17 oct | zoom 🤖 level 2: advanced ai + automations 14 nov | zoom 21 nov | brussels more info: 👇 https://lnkd.in/dSy3fmHN