Term: Few-Shot Learning Day: 13 Level: Fluency Category: Learning & Models 🪄 Simple Definition: Teaching an AI to do a task by showing it just a few examples instead of thousands. 🌟 Expanded Definition: Few-shot learning is a technique where a model learns to perform a task with very limited examples. Instead of needing huge datasets, the model adapts quickly from a handful of inputs, often by leveraging the general knowledge it already gained during pre-training. This is especially useful in areas where data is scarce or expensive to label. ⚡ In Action: A chatbot is given only 5 examples of how to politely decline requests. After seeing those, it can consistently generate polite refusals in many different situations. 💡 AIS+ Pro Tip: Use few-shot learning when you want quick adaptability without the cost of full fine-tuning. Try pairing it with Prompt Engineering by including examples directly in your prompt to steer model behavior. 🔍To find all posted terms, simply search for the phrase “Daily Dose” in the AIS+ community. Start AI Terms Daily Dose from Beginning: https://www.skool.com/ai-automation-society/ai-terms-daily-dose-series-announcement?p=3f25c4c2 📣 Complementary Series 📣 📚 AI Terms Everyone Should Know Series Your complete guide to mastering AI vocabulary, from basics to advanced, with context and real-world examples by @Michael Wacht https://www.skool.com/ai-automation-society/ai-terms-everyone-should-know-series?p=91d0578a Series inspired by the "Only Cheatsheet to Master AI Basics" post by @Yash Chauhan found at: https://www.skool.com/ai-automationskool/only-cheatsheet-to-master-ai-basics?p=f1af5dd4

I'm excited to extend an exclusive opportunity to join a limited-capacity training and hiring initiative with my AI company, TrueHorizon AI. In response to strong client growth, we’re launching a 3-week, fully remote immersive training cohort, starting Monday, August 19th, 2025. Participants will work directly with our leadership team to build three production-grade automation workflows, gaining practical experience with our internal frameworks and how we deliver real client outcomes. This program is completely free, but highly selective: we will accept only 15–20 participants. Those who demonstrate strong technical performance and team collaboration during the program will be offered the role of AI Engineer at TrueHorizon AI. About the AI Engineer Role - Location: Fully remote - Salary: Base of $2,240/month with the potential to earn up to $120k/year (profit share) - Profit Share: Up to 10% of project profit for each client project you are deployed on. Profit Share is determined through both objective and subjective performance KPIs Responsibilities: - End-to-end delivery of custom AI automation solutions - Contribution to internal products and tooling that scale our client delivery - Close collaboration with the founding team on technical and strategic initiatives Additional Requirements - Strong English communication is essential for both the training program and the full-time role. TrueHorizon operates as an English-speaking company across all internal and client-facing work. Key Details - Cohort Start Date: Monday, August 19, 2025 - Application Deadline: Wednesday, August 14, 2025 - Apply here: ClickUp Application Form - Seats Available: 15–20 (competitive admission) Even for those not selected for the full-time role, this program offers exceptional value—resume-ready builds, a LinkedIn-verifiable credential, and real exposure to custom AI deployment practices that will serve you whether you pursue client work independently or join another forward-thinking AI company.

Built an AI workflow this week that eliminated 5+ hours of manual back-and-forth — no code, no fluff. Here’s the core setup: → Typeform → Airtable → OpenAI → Slack → Gmail 🧠 The real breakthrough wasn’t just in the automation — it was realizing where humans were bottlenecking things and letting AI handle just enough to keep it personal and efficient. Biggest lesson: Automation doesn’t replace people, it amplifies their thinking, when used right. Curious to hear from the group: → What’s the simplest automation you’ve built that had the biggest ROI? → Or what process do you wish you could hand off to AI? Let’s swap ideas

The fix was easy An AI Founder asked me to review his landing page last weekend. He was getting good traffic to it and all, but there was a conversion problem. I scrolled through his page and saw the usual suspects: Big claims. Lots of features. Lots of benefits. But I couldn’t picture the outcome from his AI service. And that was the issue. Not being able to SEE it. You can advertise “automates approvals”, “flags anomalies”, “optimizes ops” all you want. But if you want to convert visitors into bookings, they need to be able to envision the better state you’re promising. Your prospects want to see dashboards. Screenshots. Before/after flows of what you’re offering. They’ll listen to strong messaging and persuasive copy. But if you want them to believe it, they need to see it. Here were the recommendations I gave him to get this done: ✔ Show, then tell: → open with a real visual - UI, dashboard, flow diagram, Etc. ✔ Use side-by-side framing: Before: Manual data entry across 3 tools - hours lost After: Auto-filled via API - deployed in 30 seconds So basically, instead of just saying [Desired Outcome] → SHOW what the desired outcome looks like. Now your prospects see it. If they can see it, they’ll believe it. __ If you enjoyed this, follow me on LinkedIn for more marketing stuff for AI Founders. I hope this helps Dan 🤝

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