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Andrew Ng launches a free course on AI agents 😮

The course covers four key patterns:

Reflection — the agent independently improves its responses

Tool use — using tools

Planning — action planning

Multi-agent collaboration — multiple agents working together on one task
Everything is implemented in pure Python. Andrew emphasizes that creating AI agents is one of the most in-demand skills in the market.

Available here: https://www.deeplearning.ai/courses/agentic-ai/

👉  @codeprogrammer
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🤖🧠 Join the 5-Day AI Agents Intensive Course with Google

🗓️ 07 Oct 2025
📚 AI News & Trends

Artificial Intelligence is rapidly evolving beyond chatbots and text generation. The next frontier is AI agents — intelligent, autonomous systems that can reason, take action and collaborate with tools and other agents. To help developers and practitioners build these next-generation systems, Google is launching the 5-Day AI Agents Intensive, a no-cost, online program running from ...

#aiagents #dayai #googleartificial #agentsintelligent #ai #evolvingchatbots
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🤖🧠 The Little Book of Deep Learning – A Complete Summary and Chapter-Wise Overview

🗓️ 08 Oct 2025
📚 AI News & Trends

In the ever-evolving world of Artificial Intelligence, deep learning continues to be the driving force behind breakthroughs in computer vision, speech recognition and natural language processing. For those seeking a clear, structured and accessible guide to understanding how deep learning really works, “The Little Book of Deep Learning” by François Fleuret is a gem. This ...

#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides #FrancoisFleuret
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📌 Understanding Positional Embeddings in Transformers: From Absolute to Rotary

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-20 | ⏱️ Read time: 19 min read

A deep dive into absolute, relative, and rotary positional embeddings with code examples
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🤖🧠 Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs

🗓️ 08 Oct 2025
📚 AI News & Trends

In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate today’s AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...

#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides
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📌 Learn Transformer Fine-Tuning and Segment Anything

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-30 | ⏱️ Read time: 13 min read

Train Meta’s SAM to segment high fidelity masks for any domain
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💠 The Best Tool for Extracting Data from PDF Files!

👩🏻‍💻 Usually, PDF files like financial reports, scientific articles, or data analyses are full of tables, formulas, and complex texts.

⬅️ Most tools only extract texts and destroy the data structure, causing important information to be lost.

But the tool Docling uses artificial intelligence to preserve all those structures (text, tables, formulas) exactly as they are in the file. Then it converts that data into a structured format. Meaning AI models can work on them.

The interesting point is that with just three lines of Python code, you can convert any PDF into searchable data!

🥵 Docling
🔎 Article
📄 Documentation
🐱 GitHub-Repos

🌐 #Data_Science #DataScience
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🔥 Trending Repository: Prompt-Engineering-Guide

📝 Description: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

🔗 Repository URL: https://github.com/dair-ai/Prompt-Engineering-Guide

🌐 Website: https://www.promptingguide.ai/

📖 Readme: https://github.com/dair-ai/Prompt-Engineering-Guide#readme

📊 Statistics:
🌟 Stars: 63K stars
👀 Watchers: 668
🍴 Forks: 6.6K forks

💻 Programming Languages: MDX - Jupyter Notebook

🏷️ Related Topics:
#deep_learning #openai #language_model #prompt_engineering #generative_ai #chatgpt


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🧠 By: https://t.me/DataScienceM
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🔰 Email automation using Python

Why type emails when Python can do it for you? Work smarter, not harder... unless you’re debugging. 😅💻


🔗 Subscribe to the channel: Every day I unlock 20+ rare crypto gifts. Only real slots. | InsideAds
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📌 Mastering Object Counting in Videos

🗂 Category:

🕒 Date: 2024-06-25 | ⏱️ Read time: 8 min read

Step-by-step guide to counting strolling ants on a tree using detection and tracking techniques.
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⚙️ This tool is turning the world of Web Scraping upside down!

👨🏻‍💻 A new tool called Crawl4AI has been introduced that makes Web Scraping and data extraction from websites much easier, faster, and smarter! Especially designed for use in AI models like ChatGPT and similar tools.

1⃣ Its special features:

🔹 Completely free and open-source. That means you can use it however you want without any cost.

🔹 Works much faster than paid tools.

🔹 Its outputs are AI-friendly, such as JSON, HTML, or Markdown.

🔹 Can extract data from multiple websites simultaneously.

🔹 Collects images, videos, and audio from pages as well.

🔹 Extracts all internal and external links for you.
                  

🔢 More advanced features:

🔹 Takes screenshots of pages and collects metadata (like title, description, tags).

🔹 You can write custom code or special settings like auth and headers.

🔹 You can even change its browser User-Agent to behave like a human.

🔹 Before starting extraction, it can run your custom JavaScript code.

♦️ Crawl4AI
🐱 GitHub Repos

🌐 #DataScience #DataScience

https://t.me/CodeProgrammer
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