Grok-1

Learn JavaScript

Learn JavaScript

Learn JavaScript

Learn JavaScript

Learn JavaScript

Learn JavaScript

Learn JavaScript

https://www.youtube.com/watch?v=jF5oxeeuu6E

Start small,

stay consistent,

and never stop learning.

The journey to mastering web development is built one line of code at a time.

14 FREE Sites to find HTML/CSS/Javascript Code Snippets

✅ snipt .dev
✅ jsbin .com
✅ jsfiddle .net
✅ codepen .io
✅ codepad. co
✅ snipplr. com
✅ codeply. com
✅ webcode .tools
✅ codemyui. com
✅ bootsnipp. com
✅ littlesnippets. net
✅ 30secondsofcode. org
✅ codesandbox. io/search
✅ css-tricks. com/snippets/

which are you ?

Most important frontend skills 80% of devs ignore:

- Accessibility
- Performance measurement and monitoring
- Observability
- Documentation
- Code quality automation
- Regression testing

Writing code is just 20%.

80% is focusing on practices that support business

and now Grek....

As a frontend developer, master CSS!

Master CSS

Master CSS

Master CSS

Master CSS

Master CSS

Master CSS

Master CSS

Learn the basics in this video 👇👇👇

https://www.youtube.com/watch?v=XKNSgDL3xgM

Code isn't just logic; it's an art form.

🎨 Keep it clean

📐 Follow design patterns

🌟 Strive for elegance

📝 Comment wisely

🛠 Use the right tools

🤝 Collaborate

🚀 Optimize

🔍 Review your work

📚 Keep learning

🎯 Aim for mastery

https://t.me/EmmersiveLearning

this is amazing.

OpenAi announced a new LLM Model called GPT 4 - TURBO.

what GPT 4 - TURBO comes with

Semantic vs Non-semantic

Simplified CSS learning roadmap:

🚶‍♂️🚶‍♀️👣 Beginner:
1. 📜 Learn CSS syntax
2. 🎨 Understand basic selectors
3. 📏 Study box model
4. 🧩 Explore properties

🏃‍♂️🏃‍♀️💨 Intermediate:
5. 🎭 Master flexbox
6. 📐 Dive into grid
7. 🎉 Add animations
8. ⚙️ Apply transitions

🚀👨‍💻 Expert:
9. 🌐 Create responsive layouts
10. 📦 Utilize CSS frameworks
11. 🔄 Optimize with preprocessors
12. 💡 CSS-in-JS for advanced dev

A quick, no BS recap of OpenAI Dev Day announcements

So you don't have to watch a 1 hour long live-stream:

GPT 4-Turbo
• GPT 4-Turbo is now available via the API
• 128k token context (vs. 32k previously)
• More than 50% cheaper than GPT-4
• April 2023 Knowledge cutoff (vs. Sept 2021)
• Improved performance from GPT-4
• Can now provide images along side your text input prompt via API
• A new JSON mode that forces GPT to respond in pure JSON
• More generous rate limiting

Custom GPTs
• Users can build their own "Custom GPTs" that are specialized for specific tasks
• You can make CustomGPTs without coding. Use natural language, and upload files for context
• Enterprises can make company & org-specific Custom-GPTs
• OpenAI is giving us two Custom GPTs to start: Canva and ZapierAI

Custom GPT Store
• Users can upload their CustomGPTs to the store for others to use
• OpenAI will provide a revenue share program, where authors of popular models will receive $.

Assistants API
• The assistants API lets you build autonomous agents that have access to tools.
• OpenAI currently provides 3 tools to start: Code Interpreter (coding), Retrieval (Custom Knowledge), and Function Calling
• Just like with the normal API, you specify its role via a a custom instruction.

Human Quality Speech
• Open AI released the tts-1 and tts-1-hd models.
• The tts-1 model is optimized for speed, and tts-1-hd model for quality
• Choose from 1 out of 6 voice types and create realistic sounding human speech from an API

Copyright Shield
• Protects you and your company from copyright claims when using OpenAI's products

Whisper V3
• As a quick recap, Whisper is OpenAI's speech-to-text model. It transcribes voice and outputs text.
• Whisper is open source, and V3 was also released as open source.
• It seems via the API (paid), Whisper v3 is not available yet at the moment.

Custom Models for Enterprise
• For select companies, OpenAI's research team will create a custom model for your enterprise with specific domain knowledge.

That about wraps up everything!

As a developer, I'm most excited about the GPT 4-Turbo updates.

I'm also curious to see how the Assistants API will work, and if it will make abstraction layers like Langchain redundant, since retrieval is built-in to the API.