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전북대학교 최규빈 교수
2024. 6. 12.
Live At: https://twitch.tv/ThePrimeagen Wanna Become a Backend Dev & Support me at the SAME TIME??? https://boot.dev/prime
2024. 8. 28.
Check out my Web Development Courses 🔥 https://developedbyed.com/ 🛴 Follow me on: Twitch: https://www.twitch.tv/developedbyed Twitter: https://twitter.com/developedbyed Instagram: https://www.instagram.com/developedbyed/ Github: https://github.com/developedbyed/ 🔥Dope Tracks Mac Kay - Shade https://chll.to/00509844 Boukas - Melvin https://chll.to/10d340df less.people - Lamp Glow https://chll.to/51b47e4a Enough Cereals - Suave https://chll.to/3ce6c324
2024. 4. 13.
Watch as Craig Labenz is joined by the esteemed Flutter developer Matt Carroll to discuss his latest project - an all-Dart static site generator. The latest from Flutter → https://goo.gle/flutter-latest Watch more Observable Flutter → https://goo.gle/ObservableFlutter Subscribe to Flutter → http://goo.gle/FlutterYT #ObservableFlutter #Flutter Speaker: Craig Labenz Products Mentioned: Flutter
2024. 7. 26.
Join this channel to get access to perks: https://www.youtube.com/@aicodeking/join In this video, I'll be telling you about the new Ministral (3B & 8B) Models by Mistral AI and we'll be fully testing them as well. This is a new fully Opensource Model that we can host locally as well. It is also claimed to be better in Coding Tasks and is also really good at doing Text-To-Application, Text-To-Frontend and other things as well. I'll be testing it to find out if it can really beat other LLMs and i'll also be telling you that how you can use it. This models beats Qwen-2, Llama-3.2, Mistral, GPT-4O-Mini and Others! ---- Key Takeaways: 📈 Major AI Model Releases: The video covers two exciting AI releases, Nvidia Nemotron and Mistral Ministral, comparing them to Claude 3.5 and Llama-3.1 models. Stay updated on the latest in LLM advancements! ⚡ Ministral's New AI Models: Discover the 3B and 8B Ministral models, which feature function calling and a huge 128K context length, pushing boundaries in AI model performance. 💡 Benchmark Controversy: Dive into the benchmarking issues of Mistral’s models and why their "Knowledge and Commonsense" benchmark might be a little misleading. AI benchmarks are crucial, but manipulation is common. 🚀 Open-Source AI: While the 8B model is open-source, the 3B model is restricted to API-only access, leaving developers with limited options for experimentation. Learn more about the Mistral Research License. 💻 Coding Test Results: This video tests the 8B model against various coding challenges, such as building a confetti button and Python scripts, revealing its chain-of-thought reasoning and effectiveness in solving problems. 📊 AI Model Performance Comparison: A detailed comparison between Ministral, Llama-3.1, and Qwen-2.5, showing how Ministral holds its own in certain areas but falls short in cultural and general knowledge. 🎥 Upcoming AI Content: Stay tuned for a deep dive into the Nvidia Nemotron model, which promises to be a game-changer in the AI space. Don't miss out on these valuable insights! ----- Timestamps: 00:00 - Introduction 00:46 - About Ministral 03:09 - Testing 07:57 - Final Results & Charts 09:20 - Ending
2024. 10. 17.
🚀 https://neetcode.io/ - A better way to prepare for Coding Interviews 🧑💼 LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/ 🐦 Twitter: https://twitter.com/neetcode1 ⭐ BLIND-75 PLAYLIST: https://www.youtube.com/watch?v=KLlXCFG5TnA&list=PLot-Xpze53ldVwtstag2TL4HQhAnC8ATf Problem Link: https://leetcode.com/problems/minimum-bit-flips-to-convert-number/description/ 0:00 - Read the problem 0:30 - Explanation 1 3:05 - Coding 1 4:27 - Explanation 2 10:10 - Coding 2 leetcode 1684 #neetcode #leetcode #python
2024. 9. 12.
☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲: To support the channel and encourage new videos, please consider buying me a coffee here: https://ko-fi.com/bugbytes In this video, we'll dive further into PyQt6 and look at how to integrate our desktop apps with a local relational/SQL database. We'll see how to create a Form that allows new entries to be added to the database, and how to create a Table that displays existing database entries. 📌 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀: 00:00 Intro 00:30 QtSql module in PyQt6 01:38 Creating SQLite database 03:13 Create connection to database with PyQt6 08:36 Creating MainWindow in the PyQt6 application 11:48 Create Todo Form widget in PyQt6 18:47 Adding QTableWidget of existing Todo items 21:58 Adding to database when form is submitted 27:19 Updating QTableWidget on submit 34:30 Populate QTableWidget with database items on load 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮: 📖 Blog: https://bugbytes.io/posts/ 👾 Github: https://github.com/bugbytes-io/ 🐦 Twitter: https://twitter.com/bugbytesio 📚 𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: QtSql module: https://www.riverbankcomputing.com/static/Docs/PyQt6/api/qtsql/qtsql-module.html#qtsql VSCode SQLite extension: https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite QTableWidget: https://www.riverbankcomputing.com/static/Docs/PyQt6/api/qtwidgets/qtablewidget.html#qtablewidget PyQt6 reference guide: https://www.riverbankcomputing.com/static/Docs/PyQt6/ #python #pyqt #pyqt6
2024. 10. 14.