Arkie Preketes

Use these 3️⃣ architectures when building your next AI project 🤖 Subsumption: Used when you require a ‘concierge’ agent to then decide what other specialised agent it needs to complete the users task. Prescriptive: Used when you already know a flow of steps required to complete a task. Hybrid: A combination of both, where an agent selects from a range of predefined steps to complete a task

Master these 3 GenAI Topics 👇 1️⃣Prompting: The MOST important skill you can have as an AI engineer. This is all about clearly telling an LLM what your output needs to be a long with the context of your input 2️⃣Vector Database: The backbone of any AI system now. This allows you to consume large amounts of data and store it in a format easily accessible by an LLM 3️⃣RAG: ‘Retrieval Augmented Generation’, the easiest way to provide business context (internal documents / knowledge bases / data) to an LLM WITHOUT having to go through the pain of fine tuning

Here are the 4 git repositories I pull in every project when I am building generative AI applications 💻⬇️ 1️⃣ Ollama, hands down the easiest way to run open source models without having to worry about any overhead 2️⃣Streamlit, deploy and host your apps in minutes without having to worry about any infrastructure 3️⃣fastapi, a very lightweight python server framework that allows you to define all of your routes and endpoints easily 4️⃣llama3, had to include this as it is currently the most powerful generative AI model

He came in wanting to run faster 🏃‍♂️ —> we focused on alignment, mobility, and unlocking full-body efficiency 🔓 Every step starts with a solid foundation 💪🧱 #RunFaster #ChiropracticCare #DrCallister #RefigureClinic #PerformanceStartsHere #SpineAlignment #MobilityMatters #FunctionalMovement #AthleteSupport #ChiroForPerformance

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I’ve seen too many of these to not turn it in to a joke. 🤡

I took the leap of faith trying out a new industry, and I can tell you… It was so worth it. Stay ahead with the latest and most in demand job right now - the ‘AI engineer’, by following this roadmap. Check the post before this for the free courses for each step! 🚀

🚀🤖 Complete these 4 courses to kick start your generative AI journey. Search the name of the course in google - and it will show up!

Llama 4 is out, with a 10m context window. Will post how to use it next.

Build instagram in 30 seconds, no coding required, production ready application 🚀

Use these 3 AI focused projects in your portfolio when going for your next job. Guaranteed to showcase your full stack skills, whilst being able to incorporate AI 🤖🚀

3 repos to help you get started in AI. The first one has a comprehensive list of tutorials showing you how to build AI agents - with all of the code provided. The second one, is a list of all of the MCP servers that have been built and gives you the commands to install them. The last one is a comprehensive list of so many existing AI tools - to help you with whatever you are wanting to build 🚀🔥 DM or comment FREEAI for the links!