✨Python FAQ Explained✨ How will you define the "Dynamic Typing Nature of Python?"

My brain broke when I saw Kurzgesagt’s new video. A 24.7M-subscriber channel just said AI might kill them. After 10 years of hand-researched, human-made science videos, Kurzgesagt just said something bold: “We’d rather quit than make AI slop.”

Agent Builder is not even in the same stratosphere as n8n. It's like comparing a text editor to a full-blown IDE, or a note-taking app to a word processor. I'm glad OpenAI built this, but it's very, very early to see where this is going. Here is a rough sketch of the way the

LLM fine-tuning techniques I'd learn if I were to customize them: Bookmark this. 1. LoRA 2. QLoRA 3. Prefix Tuning 4. Adapter Tuning 5. Instruction Tuning 6. P-Tuning 7. BitFit 8. Soft Prompts 9. RLHF 10. RLAIF 11. DPO (Direct Preference Optimization) 12. GRPO (Group Relative

Tesla's pricing gambit. AI bubble warnings. Quantum Nobel Prize. IBM's AI bet.

OpenAI just dropped the top 30 customers who've used 1T+ of their tokens.

Haha! And sometimes YET_ANOTHER_FILE_FOR_YET_ANOTHER_DOC_FILE.⁠md

A layered overview of key Agentic AI concepts. Let's understand it step-by-step: 1️⃣ LLMs (the foundation layer) At the core, you have LLMs like GPT, DeepSeek, etc. Core ideas: - Tokenization & inference: how text is processed by the model - Prompt engineering: designing

🚀 Launching aparsoft-tts: Open-Source TTS Toolkit using Kokoro-85M Thread 🧵👇

12/12 Building more open-source tools for creators and developers. Follow me for updates on: @rs_punia_ • AI development tools • Open-source projects • Content creation workflows • Developer productivity Let's build the future of content creation together! 🚀

11/12 Want to try it? 🔗 GitHub: https://t.co/UOmruKpHQU 📧 Contact: contact@aparsoft.com 🌐 Website: https://t.co/84T3rIbAEh ⭐ Star the repo if you find it useful!

10/12 🙏 Standing on the Shoulders of Giants Huge thanks to: • hexgrad for Kokoro-82M model • librosa team for audio processing • FastMCP for MCP integration • The entire open-source community You are the backbone architecture.

9/12 🌟 100% Open Source Released under Apache 2.0 license Free to use, modify, and contribute Complete codebase on GitHub Comprehensive docs and examples Built with and for the open-source community.

8/12 Perfect for: ✓ YouTube creators ✓ Podcasters ✓ E-learning course creators ✓ Developers building AI apps ✓ Content teams ✓ Anyone needing quality voiceovers If you create content or build with AI, this is for you.

7/12 ⚡ Developer-Friendly Features • Batch processing for multiple files • Complete script conversion with auto-chunking • Handles long-form content seamlessly • Comprehensive documentation • Extensive test coverage • Active community support Built by developers, for

6/12 Demo time! 🎬 In the video, you'll see me: 1. Ask Claude to list voices 2. Generate a voiceover about Python's "import this" 3. Regenerate with a different voice at different speed All in seconds. All from a conversation with Claude. That's the power of MCP integration.

5/12 🎤 10 Professional Voices from Kokoro-85M model 4 Male + 6 Female voices American & British accents Each optimized for natural, clear speech From the professional clarity of am_michael to the warm tones of af_bella - find the perfect voice for your content.

4/12 🛠️ Multiple Ways to Use It Choose your interface: • Streamlit web UI (visual management) • CLI (quick generations) • Python API (custom integrations) • Docker (production deployment) • MCP server (AI tool integration) One toolkit, endless possibilities.

3/12 🎯 Production-Ready Audio Out of the Box Every voiceover gets: • Automatic normalization • Noise reduction • Smooth fade transitions • Professional quality enhancement Your audio is ready for YouTube, podcasts, or production use. No additional editing needed.

2/12 What makes it different? It's not just another TTS library. It's designed for modern AI-assisted workflows with seamless integration into Claude Desktop and Cursor via Model Context Protocol. Generate voiceovers without leaving your editor. No copy-paste, no context

1/12 Just released: aparsoft-tts – a comprehensive Text-to-Speech toolkit built on Kokoro-82M that brings professional voice synthesis directly into your AI workflow. Watch the demo: 👆 GitHub: