See the latest book from @AltoValentina
, released by @PacktDataML at http://
amzn.to/4p98LYl "AI Agents in Practice — Design, Implement, and Scale Autonomous #AI Systems for Production" Book Description (from Amazon): As AI agents evolve to take on complex tasks and operate
CODE
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New Book on AI Agents Design Implementation and Production Scaling
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Building Production-Ready AI Agents with MLflow Evaluation
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🧱 Agent Bricks makes it easy to build high-quality, production-ready AI agents.
— Databricks (@databricks) 20 septembre 2025
In this demo by Kasey Uhlenhuth, you’ll see how to:
-Build a knowledge assistant for document queries
-Evaluate with MLflow traces + custom metrics
-Improve answers with natural language feedback… pic.twitter.com/aKUWqMgWFCAgent Bricks makes it easy to build high-quality, production-ready AI agents. In this demo by Kasey Uhlenhuth, you’ll see how to: -Build a knowledge assistant for document queries
-Evaluate with MLflow traces + custom metrics
-Improve answers with natural language feedback -
Master Trending AI Tech in 2025 – Complete Learning Roadmap
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Master Trending AI Tech in 2025 – Roadmap Fundamentals (1–1.5 mo) Python | Data Analysis | Math for AI | Git | Cloud Basics Core Machine Learning (1.5–2 mo) Supervised/Unsupervised | Pipelines | Model Monitoring | Feature Eng. Deep
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Agent Training Requirements: Task-Specific Development Like Employees
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An agent must be trained for a specific task, just like human employees.
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Essential LLM Concepts: Tokenization, Attention, and Sampling
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key topics to learn how llms work, all it takes is < 2 years if you have cs foundation > tokenization and embeddings
> positional embeddings (absolute, rope, alibi)
> self attention and multihead attention
> transformers
> qkv
> sampling params: temperature, top-k top-p
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Codex CLI /review: AI-powered code review feature launched
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✨ New in Codex CLI: /review
— Romain Huet (@romainhuet) 19 septembre 2025
You can now get a code review on your local changes, and GPT-5-Codex was specifically trained to investigate issues. 🔍
Try it out on your projects! https://t.co/uFlHcaHvx3New in Codex CLI: /review You can now get a code review on your local changes, and GPT-5-Codex was specifically trained to investigate issues. Try it out on your projects!
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End of Code Claude, retention of Codex, AI lifespan 2-3 months
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I just canceled my Code Claude subscription, sorry @AnthropicAI. And I'm keeping Codex for now with the @OpenAI subscription at €250/month. The king is dead, long live the king. The lifespan of a leading AI model is therefore 2-3 months before being caught up. Interesting
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Tool Loop Implementation Guide for AI Agents
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Anyhoo, here's what I wrote quite some time ago… https://
claudette.answer.ai/toolloop.html
