🔅 Develop ML Models with Python and T-SQL

📝 Learn how to leverage Python to effectively build, train, test, and store your models in SQL Server databases.

📋 Topics: #MachineLearning, #Microsoft, #SQLServer, #SQL

🔅 Develop ML Models with Python and T-SQL

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🚀 Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning

Both code and weights are available under the MIT license on HuggingFace.

👉 Key details:

• Trained from scratch (not a finetune) on proprietary data and infrastructure
• Mixture-of-Experts (MoE) architecture

Models:

🧠 GigaChat-3.1 Ultra
• 702B MoE model for high-performance environments
• Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks
• Supports FP8 training and MTP

⚡️ GigaChat-3.1 Lightning
• 10B model (1.8B active parameters)
• Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks
• Efficient local inference
• Up to 256k context

Engineering highlights:

• Custom metric to detect and reduce generation loops
• DPO training moved to native FP8
• Improvements in post-training pipeline
• Identified and fixed a critical issue affecting evaluation quality

🌍 Trained on 14 languages (optimized for English and Russian)

Use cases:

• chatbots
• AI assistants
• copilots
• internal ML systems

Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.

AI Agents for Beginners

This is Microsoft's official, structured course designed to teach AI agents from the ground up. 🎓 It provides a comprehensive curriculum covering fundamentals to deployment through exclusive video tutorials with hands-on code examples. The course is entirely free and accessible without registration. It is ideal for beginners and intermediate developers seeking to understand how AI agents reason, utilize tools, and automate real-world tasks. 🤖

Prerequisites: Basic command line experience is beneficial, though no prior AI experience is required.

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