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🏠🤖 Run Your Own LOCAL LLM (Beginner Friendly)

LLMs are cool, but running your own local one hits different 😎
No cloud. No API keys. No limits.

🧩 Step 1: Install Ollama
Install Ollama on your machine (works on Mac, Windows, Linux).

Once installed, open your terminal.

🚀 Step 2: Run a model

ollama run llama3.2

This command:
• Downloads the model
• Starts it locally
• Lets you chat instantly 💬

If you see the prompt, your local LLM is running.

⚙️ Step 3: Do local inference (API style)
Ollama runs a local server on your machine.

curl https://127.0.0.1:11434/api/generate \
  -H "Content-Type: application/json" \
  -d '{
      "model": "llama3.2",
      "prompt": "Explain overfitting like I am 12",
      "stream": false
    }'

If you get a JSON response with text → ✅ it works.

💡 Why this is powerful
• Works offline
• Private by default
• Perfect for learning, testing, and small apps

This is the easiest way to start with LLMs locally.

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Agentic AI math problems by hand ✍️ The last five in Chapter 1. Download PDF: byhand.ai/tokens-16-20

Problems 16 to 20:

16. Tokens on a budget: run the pricing backward, cost in, tokens out
17. How long will it take? Reading is parallel, writing is one token at a time
18. The split matters: same total tokens, one task finishes three times sooner
19. Pricing per million tokens: how every real API actually quotes it
20. Tokens from the bill: work backward from what you were charged

Previous problems:

1. Count the tokens
2. Subword splitting
3. Punctuation counts
4. Tokens per word
5. Will it fit?
Download: byhand.ai/tokens-1-5

6. The price of a call
7. Two kinds of token
8. Input or output?
9. The two-part bill
10. End-to-end call cost
Download: byhand.ai/tokens-6-10

11. Comparing three calls
12. The average call
13. The system prompt
14. The system prompt tax
15. Calls in a budget
Download: byhand.ai/tokens-11-15

Download, print and solve. ✍️

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🧿ANTHROPH\C Launches 13 Free AI Courses

Anthropic Academy has announced 13 free AI courses. The courses cover the following topics:

• Working with Claude
• AI Fundamentals
• AI Agents
• Model Context Protocol (MCP)
• Claude Code
• Working with APIs
• Enterprise AI
• Google Cloud Vertex AI and Amazon Bedrock Integration


1. Claude 101

2. AI Fluency: Framework & Foundations

3. Introduction to Agent Skills

4. Building with the Claude API

5. Claude Code in Action

6. Introduction to Model Context Protocol (MCP)

7. MCP: Advanced Topics

8. AI Fluency for Students

9. AI Fluency for Educators

10. Teaching AI Fluency

11. AI Fluency for Small Businesses

12. Claude with Amazon Bedrock

13. Claude with Google Cloud Vertex AI

The courses are designed for a wide audience, from beginners to developers, educators, students, and business owners.

🐱 Julius AI — a neural network for data analysis without complex tools!

This service helps you work with spreadsheets, statistics, and large datasets without having to manually create formulas or understand complex analysis tools. You upload a file, and Julius AI analyzes the data, finds patterns, creates charts, and explains the results in simple language.

📌 Here's the link: julius.ai

🚀 21-Day CCNA & CCNP Sprint – Aug 17 to Sep 6
🤝 Peer Group – Share Insights | Exchange Knowledge | Support Each Other

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① DM admin: "I'M IN + cert name"
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A Collection of Machine Learning Libraries for Python 🤖

A large repository containing over 900 libraries and frameworks for machine learning. 📚

All projects are sorted by quality and popularity, which helps you quickly find the best tools for working with AI and ML. ⚙️

Repo: https://github.com/ml-tooling/best-of-ml-python?tab=readme-ov-file#vector-similarity-search-ann

#MachineLearning #Python #AI #DataScience #MLTools #Programming

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