Skip to content
segu0Public

About

Distill repeated LLM classifications into a fast, local model that runs in under a millisecond on CPU, with optional LLM fallback for uncertain cases.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Repository files navigation

📊 shrewd - Smarter AI, Simpler Workflows

⬇️ Download shrewd Now

🎯 What Is shrewd?

shrewd is a smart tool that takes the repetitive guesswork out of classifying text. It learns from AI models to create a tiny, fast, always-ready version that works right on your computer. No cloud needed, no delay, no complicated setup.

Think of it this way: you ask a big AI to sort your emails into "important" and "not important" a hundred times. Instead of asking the big AI every time, shrewd watches what it does, learns the pattern, and builds a mini-expert that does the same job instantly—right on your own machine.

✅ Why Use shrewd?

  • Instant Results: No waiting for cloud responses. It's all local, so it's lightning fast.
  • Private & Secure: Your data stays on your device. Nothing is sent to external servers.
  • Simple to Use: No coding skills? No problem. If you can click a button, you can use shrewd.
  • Cost-Effective: Save money on repeated AI API calls. shrewd does the heavy lifting once and works free forever after.
  • One Job, Done Well: shrewd isn't trying to do everything. It specializes in your specific task, so it gets really good at it.
  • Future-Ready: Built with cutting-edge techniques like active learning and calibration, so it improves as you use it.

🚀 Getting Started

Getting shrewd up and running is easy. Follow these simple steps:

  1. Get the Software: Visit this link to download the application. The download page will appear with files ready for you.
  2. Run the File: Once downloaded, find the file in your "Downloads" folder. Double-click it to open. That's it—shrewd will start right up.
  3. Start Using It: You'll see a friendly window. Choose the task you want shrewd to learn, or load an existing project. Now you're ready to start.

No install wizard, no confusing options. Just download, run, and use.

💡 What Can You Do With shrewd?

shrewd handles one fixed task per project, but that one task can be almost anything where you need to sort or categorize text:

  • 📧 Email Sorting: Automatically label incoming emails as urgent, work, or personal.
  • 🛍️ Product Review Analysis: Classify customer feedback as positive, negative, or neutral.
  • 📝 Document Tagging: Group reports or articles by topic.
  • 💬 Social Media Monitoring: Detect spam or offensive comments in real time.
  • 🏷️ Ticket Categorization: Sort support requests by issue type.

🛠️ Advanced Features for Power Users

If you're curious or have some technical background, shrewd packs serious power under the hood:

  • Active Learning: shrewd asks for feedback on the trickiest cases, learning faster with fewer examples.
  • Calibration: It gives you honest confidence scores, so you know when it's sure—and when it's guessing.
  • Weak Supervision: Combine rough rules or noisy labels to bootstrap a quality model without hand-labeling thousands of items.
  • Prompt Optimization: Under the hood, shrewd fine-tunes how it asks the big AI, squeezing out maximum accuracy.
  • Knowledge Distillation: That's the fancy term for how it shrinks the big AI's knowledge into a small, local model.
  • On-Device Machine Learning: The final model runs entirely on your computer—no internet required.

⚙️ System Requirements

shrewd is designed to be light and accessible. Here's what you'll want to have:

ComponentMinimumRecommended
Operating SystemWindows 10Windows 11
ProcessorDual-core CPUQuad-core or better
Memory (RAM)4 GB8 GB or more
Disk Space500 MB free1 GB free
InternetRequired only for initial model trainingOngoing internet not needed

📖 How It Works in Plain English

  1. Show It the Way: You give shrewd a handful of examples. Like "these five emails are spam, these five are not."
  2. It Asks a Big AI: For extra help, shrewd can consult a powerful AI to understand the deeper patterns in your examples.
  3. It Builds a Mini-Expert: Using what it learned, shrewd creates a compact model designed just for your task.
  4. You Reap the Benefits: From now on, shrewd classifies new items instantly, privately, and without any ongoing costs.

🆘 Troubleshooting

Hit a snag? Try these quick fixes:

  • Won't Open: Make sure you've downloaded the correct file for Windows. Right-click the file, select "Properties," and ensure it's not blocked by your security settings.
  • Slow Performance: Close other heavy programs. If you're training a new model, give it a moment—it's working hard.
  • Wrong Results: Add more examples. shrewd learns from repetition. The more quality examples you give, the sharper it gets.
  • Still Stuck? Visit the project page for guidance and updates.

📥 Download Again

Ready to start? Click the button below to get your copy of shrewd today:

🚀 Get shrewd Free

No credit card. No trial period. Just download and go.

🔍 Frequently Asked Questions

Q: Is shrewd really free?
A: Yes, completely free to download and use. The repository is open-source, meaning the code is public for anyone to inspect.

Q: Do I need to know programming?
A: Not at all. shrewd is built for everyday users. All actions happen through a simple interface.

Q: Can shrewd do multiple tasks at once?
A: No. shrewd is deliberately focused on one fixed task per project. That's why it performs so well at that single job.

Q: What happens if I lose internet after downloading?
A: You're fine. The main function works offline. You only need internet if you want to call the bigger AI for extra training help.

Q: Is my data safe?
A: Yes. Your data used for classification never leaves your computer after the initial setup phase.

🔧 Technical Notes for Developers

For those who love under the hood:

  • Language: Written in Python for broad compatibility.
  • Key Libraries: Uses litellm for flexible AI model access, dspy for structured prompting, and gepa for genetic prompt evolution.
  • Model Export: Final models are lightweight and optimized for edge deployment.
  • Integration: Can be plugged into larger Python pipelines via simple scripts.
  • License: Open-source friendly—check the repository for exact terms.

📢 Spread the Word

If shrewd saved you time and money, tell a friend! Star the repository on GitHub, share it on social media, or contribute improvements. Every bit helps make shrewd smarter for everyone.

Happy classifying! 🎉

About

Distill repeated LLM classifications into a fast, local model that runs in under a millisecond on CPU, with optional LLM fallback for uncertain cases.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages