2/ Most humans or tools would take days – or weeks – to deliver all this. Claude delivered a fully functional model, professionally formatted, with interactive dashboards.
CODE
-
Vector Databases: Key to Semantic Search and RAG Applications
By
–
3. Explainer: Vector Databases for Devs
— God of Prompt (@godofprompt) 12 septembre 2025
Prompt:
Craft a post demystifying vector databases for developers and data scientists, explaining their critical role in powering semantic search and RAG applications.
What SynthMind did: Created an educational infographic + explainer… pic.twitter.com/bSMDWbAZCK3. Explainer: Vector Databases for Devs Prompt: Craft a post demystifying vector databases for developers and data scientists, explaining their critical role in powering semantic search and RAG applications. What SynthMind did: Created an educational infographic + explainer
-
Mars Biosignatures, Starlink Spectrum, and AI Breakthroughs
By
–
Biosignatures on Mars.
Starlink gets spectrum.
Alterego makes telepathy-like tech.
Soft robots move with magnets & batteries.
Palmer Luckey takes delivery of first Jetson ONE. + Good AI: Math, Inc., Oboe, Replit Agent 3 Sad week for America.
The optimism marches on. -
Bringing Apify to Nigerian Developer Community
By
–
Time to bring Apify to the Nigerian developer community Also, to meet my Nigerian friends.
-
Gauss: Automated Proof Writing and Verification System
By
–
Gauss es un sistema de autoformalización que escribe y verifica automáticamente pruebas en Lean, trabajando ininterrumpidamente durante horas. Gauss ejecuta el verificador, detecta fallos y propone correcciones -todo en bucles automáticos y a gran escala: Según el anuncio el
-
Claude vs ChatGPT: Memory Implementation Differences Explained
By
–
Posted some of my own notes on Shlok Khemani's (excellent and comprehensive) notes on how Claude and ChatGPT's memory implementations differ from each other
-
XGBoost for Regression: Predictive Modeling and Time Series
By
–
XGBoost for Regression Predictive Modeling and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML —
My review: XGBoost is definitely the focal point and central contribution of this book, and also those -
New LLM Design Patterns Book for Building AI Systems
By
–
New book from @PacktDataML >> "LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems" See it at http://
amzn.to/4nODl9a -
Building Neo4j-Powered Applications with LLMs New Book Release
By
–
New book from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
amzn.to/4l9lLKO -
New Book: Building AI Agents with LLMs, RAG, Knowledge Graphs
By
–
New book from @PacktDataML >> "Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h