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Multi-Agent Systems with AutoGen on Azure

Towards AI

Last Updated on July 7, 2025 by Editorial Team Author(s): Naveen Krishnan Originally published on Towards AI. I’ve been deeply immersed in the fascinating world of AI, contributing to a book on AI, developing a model context protocol, and even co-authoring an AutoGen book. For me, the real ‘aha!’

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From Chaos to Control: A Cost Maturity Journey with Databricks

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

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Checking In on AI and the Big Five

Flipboard

Sometimes the accuracy of a statement is measured by its banality, and that certainly seems to be the case here: AI is the new epoch, consuming the mindshare of not just Stratechery but also the companies I cover. Apple devices are better with AI) or disruptive to them (i.e. AI might be better than Search but monetize worse).

AI
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How to Migrate from OpenAI to Cerebrium for Cost-Predictable AI Inference

Hacker News

vs GPT4 for programming tutorials and some predictions GraphQL vs. REST vs. SQL vs. gRPC vs. OData vs. MongoDB Have we reached the Generative AI peak? Cerebrium is a serverless AI infrastructure platform that lets you run open-source models on dedicated hardware with predictable, time-based pricing instead of token-based billing.

AI
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Azure Machine Learning – Empowering Your Data Science Journey

How to Learn Machine Learning

Welcome to this comprehensive guide on Azure Machine Learning , Microsoft’s powerful cloud-based platform that’s revolutionizing how organizations build, deploy, and manage machine learning models. Sit back, relax, and enjoy this exploration of Azure Machine Learning’s capabilities, benefits, and practical applications.

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Large Language Models: A Self-Study Roadmap

Flipboard

Fine Tuning LLM Models – Generative AI Course When working with LLMs, you will often need to fine-tune LLMs, so consider learning efficient fine-tuning techniques such as LoRA and QLoRA, as well as model quantization techniques.

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How to Work Smarter, Not Harder, with Artificial Intelligence

Flipboard

As artificial intelligence (AI) continues to transform industries—from healthcare and finance to entertainment and education—the demand for professionals who understand its inner workings is skyrocketing. Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools.