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AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses

Телеграм канал AI and Machine Learning @machine_learning_courses добавлен на наш сайт 29.05.2023
Информация о канале обновлена 06.10.2025.

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🚀 AI Journey Contest 2025: Test your AI skills!

Join our international online AI competition. Register now for the contest! Award fund — RUB 6.5 mln!

Choose your track:
· 🤖 Agent-as-Judge — build a universal “judge” to evaluate AI-generated texts.
· 🧠 Human-centered AI Assistant — develop a personalized assistant based on GigaChat that mimics human behavior and anticipates preferences.
· 💾 GigaMemory — design a long-term memory mechanism for LLMs so the assistant can remember and use important facts in dialogue.

Why Join
Level up your skills, add a strong line to your resume, tackle pro-level tasks, compete for an award, and get an opportunity to showcase your work at AI Journey, a leading international AI conference.

How to Join
1. Register: https://short-url.org/1bR3f
2. Choose your track.
3. Create your solution and submit it by 30 October 2025

🚀 Ready? Jump in and show your AI skills!

Andrew Tate - The Real World

Courses:
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🔗 Sales Page: https://www.jointherealworld.com/checkout

Original Price (Subscription):
$49.99/monthly or $149/3 months or $497/1 year

Files will be provided separately so that you can download just what you need.

🔗 https://t.me/+Mu_zHvVHDYlhZDI0

📦 Exercise Files

📱Artificial intelligence
📱Fine-Tuning for LLMs: from Beginner to Advanced

📂 Full description

This course capitalizes on the latest advancements in Large Language Models (LLMs) like FLAN-T5, enabling professionals to harness these tools effectively in the rapidly-evolving AI landscape. Instructor Axel Sirota helps you establish a strong foundation in the basics of LLMs, exploring their architecture, evolution, and role in the current AI landscape. Delve into prompt engineering and learn how to craft effective prompts that guide LLM outputs for specific tasks. Then deep dive into transfer learning and PEFT fine-tuning using LoRA and find out how to adapt and optimize LLMs for varied NLP tasks. Each course section comprises live-action clips, slides, and demos, as well as real-world challenges covering prompt engineering, transfer learning, and fine-tuning techniques to enhance FLAN-T5's capabilities. Plus, youll complete a final project focused on building an NLP solution encompassing sentiment analysis, text summarization, and question answering.