AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools
TOOLS
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Book: Hands-on Guide to Building AI Agents
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Book: Machine Learning for Tabular Data — XGBoost & Deep Learning
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Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and #AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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Designing Machine Learning Systems for Production
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Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
amzn.to/46epLSi by @chipro — 𝓣𝓸𝓹𝓲𝓬𝓼:
Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, -
ICML Uses Hidden Prompt Injections to Detect AI
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👀 Paul Calcraft (@paul_cal) ICML journal editors have added hidden prompt injections to every paper sent to reviewers, to detect when reviewers are using AI It secretly tells the AI to use 2 specific phrases in the review A reviewer found it & was about to desk reject, assuming the author did it [Translated from EN to English]
→ View original post on X — @rachelmetz, 2026-02-14 19:39 UTC
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Start with cloud AI like Manus before buying Mac Mini
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If I was limited in budget I'd start by talking a lot more to cloud based AIs. Figure out how to use Manus, for instance, before you go jump in the deep end. That work will help you if you get the $1,000 to buy a Mac Mini too.
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Databricks Updates: Connectors, Autoscaling, Knowledge Assistant
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In the latest episode of Over Architected with Nick Karpov and Holly Smith, they walk through some of the most notable updates from Databricks, including:
– New Connectors
– Lakebase autoscaling
– Knowledge Assistant
– Delta Sharing to Iceberg
– & more! https://
youtu.be/vzu06KGTOrQ?si
=1DL8eY65KPPoGKc8
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Practical AI workflow for coding with Opus and Codex
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Interestingly I like vibe coding stuff with opus then bringing in codex to refactor and build further – haven’t had issues yet
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LanceDB and Hugging Face Partner for Vector Storage
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in case you missed it @lancedb and HF are partnering up to unlock the next generation of large dataset storage on the Hub And it's fire! – Supports storing embeddings (and their indexes) directly alongside the data
– Vector search / similarity search is built-in
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Using AI to cut workweek hours with prompts
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I've been using these for 4 months. Cut my week from 60 hours to 38. Which prompt are you trying first? (And RT this so your PM friends stop drowning in busywork)