Machine Learning with Python

🤖🧠 Top 30 More Retro Bollywood Diwali Portrait Prompts for Women Using Gemini AI – Part 2

🗓️ 20 Oct 2025
📚 AI News & Trends

The Diwali celebrations continue and so does the nostalgia! After the huge buzz around our Top 20 Retro Bollywood Diwali Portrait Ideas, we’re back with Part 2 featuring prompts 21 to 50 curated to help you create even more magical, cinematic AI portraits using Google Gemini AI. If you loved the 90s-style Diwali aesthetics shimmering ...

🤖🧠 PaddleOCR-VL: Redefining Multilingual Document Parsing with a 0.9B Vision-Language Model

🗓️ 20 Oct 2025
📚 AI News & Trends

In an era where information is predominantly digital, the ability to extract, interpret and organize data from documents is crucial. From invoices and research papers to multilingual contracts and handwritten notes, document parsing stands at the intersection of vision and language. Traditional Optical Character Recognition (OCR) systems have made impressive strides but they often fall ...

#PaddleOCR-VL #Multilingual #DocumentParsing #VisionLanguageModel #OCR #AI

🤖🧠 NanoChat: The Best ChatGPT That $100 Can Buy

🗓️ 20 Oct 2025
📚 AI News & Trends

In a world dominated by billion-dollar AI models like GPT-4 and Claude 3, it’s refreshing to see a minimalist, open-source alternative that puts the power of Large Language Models (LLMs) back into the hands of hackers, researchers and enthusiasts. Enter NanoChat – an end-to-end, full-stack implementation of a ChatGPT-style AI chatbot developed by Andrej Karpathy, ...

#NanoChat #ChatGPT #AI #LargeLanguageModels #OpenSource #AndrejKarpathy

Machine Learning with Python pinned «⭐️ Hello my advertiser friend! I’m Eng. Hussein Sheikho 👋 and I’m excited to share our special promotional offer with you! 🎯 💥 Promo Offer: Promote your ad across all our listed channels for only $35! 💰 📢 We accept all types and formats of advertisements.…»

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🤖🧠 Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents

🗓️ 19 Oct 2025
📚 AI News & Trends

In today’s rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, it’s a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ...

#AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation

Stack Overflow is not dead, it is making a powerful comeback

Yes, our beloved Stack Overflow, where we all once searched for answers to "why my code doesn't work," is back in the game. They have launched Stack Overflow AI
https://stackoverflow.ai/

At first glance, it might resemble ChatGPT or other AI tools, but the key difference is that it operates based on a huge developer knowledge base that Stack Overflow has been building for years

It seems Stack Overflow has found a way to be indispensable again. 💜

👉 @codeprogrammer

🎓 Stanford has released a new course: “Transformers & Large Language Models”

The authors are the Amidi brothers, and three free lectures are already available on YouTube. This is probably one of the most systematic introductory courses on modern LLMs.

Course content:

• Transformers: tokenization, embeddings, attention, architecture
• #LLM basics: Mixture of Experts, decoding types
• Training and fine-tuning: SFT, RL, LoRA
• Model evaluation: LLM/VLM-as-a-judge, best practices
• Tricks: RoPE, attention approximations, quantization
• Reasoning: scaling during training and inference
• Agentic approaches: #RAG, tool calling

If you are already familiar with this topic — it’s a great opportunity to refresh your knowledge and try implementing some techniques from scratch.

https://cme295.stanford.edu/syllabus/

https://t.me/CodeProgrammer 🌟

🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

🗓️ 18 Oct 2025
📚 AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel

🖥 Want your Telegram bot to respond using ChatGPT?

Do it in a couple of minutes: just install the python-telegram-bot library, add your #OpenAI #API key and bot token, and the bot will start replying to all messages using #ChatGPT.

from telegram import Update
from telegram.ext import ApplicationBuilder, MessageHandler, filters, ContextTypes
from openai import OpenAI


Specify your keys
OPENAI_API_KEY = "sk-..."  
TELEGRAM_TOKEN = "123456789:ABC..."

client = OpenAI(api_key=OPENAI_API_KEY)

async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE):
    user_text = update.message.text

    response = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{"role": "user", "content": user_text}]
    )

    await update.message.reply_text(response.choices[0].message.content)

app = ApplicationBuilder().token(TELEGRAM_TOKEN).build()
app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message))
app.run_polling()

https://t.me/CodeProgrammer 👍

AI Engineering roadmap that beginners can actually follow. Everything is based on 100% free, open-source, and community resources

All resources can be found here: GitHub

👉  @codeprogrammer

Question: What are Python set comprehensions?

Answer:Set comprehensions are similar to list comprehensions but create a set instead of a list. The syntax is:

{expression for item in iterable if condition}

For example, to create a set of squares of even numbers:

squares_set = {x**2 for x in range(10) if x % 2 == 0}

This will create a set with the values

{0, 4, 16, 36, 64}

https://t.me/DataScienceQ 🌟

🤖🧠 Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents

🗓️ 17 Oct 2025
📚 AI News & Trends

AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...

#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization

🤖🧠 NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs

🗓️ 17 Oct 2025
📚 AI News & Trends

The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ...

#QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity

PyTorch 2.9 has been released, an update focused on performance, portability, and developer convenience.

The fresh version brings a stable libtorch ABI for C++/CUDA extensions, symmetric memory for multi-GPU kernels, extended wheel package support for ROCm, XPU, and #CUDA 13, as well as improvements for Intel, Arm, and x86 platforms.

The release includes 3216 commits from 452 contributors, and #PyTorch 2.9 continues to develop the open source #AI ecosystem worldwide.

Full analysis: https://hubs.la/Q03NNKqW0

👉 @codeprogrammer

Free course on learning deep learning concepts

A conceptual and architectural journey through computer vision models in #deeplearning, tracing the evolution from LeNet and AlexNet to ResNet, EfficientNet, and Vision Transformers.

The #course explains the design principles behind skip connections, bottleneck blocks, identity preservation, depth/width trade-offs, and attention.

Each chapter combines clear illustrations, historical context, and side-by-side comparisons to show why architectures look the way they do and how they process information.

Grab it on YouTube
https://youtu.be/tfpGS_doPvY?si=1L_NvEm3Lwpj_Jgl

👉 @codeprogrammer

🔗 Keras vs. TensorFlow vs. PyTorch: The ultimate showdown for deep learning supremacy! 🚀

🤔 Keras: The user-friendly champion! Perfect for beginners and rapid prototyping.

⚡️ TensorFlow: The powerhouse! Great for complex projects with extensive capabilities.

🔥 PyTorch: The flexible innovator! With its dynamic computation graph, it’s a favorite among researchers.

👉 @codeprogrammer

Instant geodata visualization from the command line

Now you can interactively view raster and vector layers without launching a desktop GIS or Jupyter.

Just run:

pip install "leafmap[viewer]"

Then visualize data with a single command:

view-raster /path/to/raster.tif
view-vector /path/to/vector.geojson

Need to customize the display:

view-raster /path/to/raster.tif --band 1 --colormap coolwarm
view-vector /path/to/vector.geojson --style liberty

These CLI utilities are based on Leafmap, MapLibre, and LocalTileserver and support all formats compatible with rasterio and geopandas.

See here: https://github.com/opengeos/leafmap

👉 @codeprogrammer

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☄️ Top 12 YouTube Channels to Learn Python

💐 Python will include 57% of data scientist job ads in 2024 . It is still the number one programming language for data scientists.

✅ Now, if you are looking for the best resources to improve your Python skills, after searching and reviewing various resources, I have prepared a list of 12 top channels that provide first-class Python training, which can turn beginners into professional Python programmers. convert


🎬 Python Programmer channel
┤ 📈 211 videos / 465K SUB
┘ 🔴 Link: Python Programmer


🎬 Luke Barousse channel
┤ 📈 157 videos / 429K SUB
┘ 🔴 Link: Luke Barousse


🎬 codebasics channel
┤ 📈 837 videos / 990K SUB
┘ 🔴 link: codebasics


🎬 StatQuest channel with Josh Starmer
┤ 📈 271 videos / 1.14M SUB
┘ 🔴 Link: StatQuest with Josh Starmer


🎬 Sundas Khalid channel
┤ 📈 143 videos / 203K SUB
┘ 🔴 Link: Sundas Khalid


🎬 Shashank Kalanithi channel
┤ 📈 152 videos / 148K SUB
┘ 🔴 Link: Shashank Kalanithi


🎬 Programming with Mosh channel
┤ 📈 203 videos / 3.85M SUB
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🎬 Corey Schafer channel
┤ 📈 233 videos / 129K SUB
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🎬 sentdex channel
┤ 📈 1254 videos / 1.3M SUB
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🎬 Patrick Loeber channel
┤ 📈 206 videos / 264K SUB
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🎬 Socratica channel
┤ 📈 659 videos / 876K SUB
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🎬 Tech With Tim channel
┤ 📈 983 videos / 1.48M SUB
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