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[@TDataScience](/creator/twitter/TDataScience)
"Automate the creation of temporal features for your time-series models. Sara Nobrega's new article details a comprehensive LLM prompt for generating lag rolling window seasonal and change-based features"  
[X Link](https://x.com/TDataScience/status/1978585679501078957) [@TDataScience](/creator/x/TDataScience) 2025-10-15T22:16Z 245.4K followers, 1892 engagements


"Is AI computation eating into your project resources @AIatMetas "DeepConf" uses confidence-based assessments to enhance efficiency in solving complex tasks. Explore how it works in Ankit Singh Chauhan's article"  
[X Link](https://x.com/TDataScience/status/1978834601654018449) [@TDataScience](/creator/x/TDataScience) 2025-10-16T14:45Z 245.4K followers, 1324 engagements


"Confused by the jump from CNNs to transformers for computer vision You're not alone. @GongDestin shares a clear guide to key CV tasks"  
[X Link](https://x.com/TDataScience/status/1979020294548234369) [@TDataScience](/creator/x/TDataScience) 2025-10-17T03:03Z 245.4K followers, 2015 engagements


"Is your LLM giving incorrect responses @EivindKjos shares strategies to verify and improve RAG systems to prevent hallucinations"  
[X Link](https://x.com/TDataScience/status/1979055272904507824) [@TDataScience](/creator/x/TDataScience) 2025-10-17T05:22Z 245.4K followers, 2013 engagements


"Transform manual clinical data extraction into a streamlined process with the PICO Extractor. Elena Jolkver shares insights into deploying NLP models that enhance precision and efficiency"  
[X Link](https://x.com/TDataScience/status/1979099565417550093) [@TDataScience](/creator/x/TDataScience) 2025-10-17T08:18Z 245.4K followers, 1643 engagements


"Building computer vision applications Dive into Muhammad Ardi's guide to creating the lightweight and powerful MobileNetV2 model"  
[X Link](https://x.com/TDataScience/status/1979161981123801219) [@TDataScience](/creator/x/TDataScience) 2025-10-17T12:26Z 245.4K followers, 1679 engagements


"Tomaz Bratanic explains how to safeguard your @neo4j-MCP-powered agents with timeout guards result sanitization and token truncation"  
[X Link](https://x.com/TDataScience/status/1979197007592902762) [@TDataScience](/creator/x/TDataScience) 2025-10-17T14:45Z 245.4K followers, 1965 engagements


"What's the best way to make a voice assistant with a local LLM Benjamin Lee shares a hands-on guide to a local-first architecture showing how to use @Ollama to build a voice-powered assistant"  
[X Link](https://x.com/TDataScience/status/1977498515166154945) [@TDataScience](/creator/x/TDataScience) 2025-10-12T22:16Z 245.5K followers, 2251 engagements


"Get hands-on with open-source LLMs. Follow this step-by-step guide by Chinmay Kakatkar to build chatbots on your local machine using @Ollama Gemma @Streamlit and Chainlit"  
[X Link](https://x.com/TDataScience/status/1978749262264430925) [@TDataScience](/creator/x/TDataScience) 2025-10-16T09:06Z 245.5K followers, 2370 engagements


"Learn to design and implement tools for your AI agents effectively. @EivindKjos dives into best practices from writing clear descriptions to providing error handling that helps the agent self-correct"  
[X Link](https://x.com/TDataScience/status/1977152484897419666) [@TDataScience](/creator/x/TDataScience) 2025-10-11T23:21Z 245.5K followers, 2463 engagements


"Stuck in a cycle of failed AI pilots It might be a value problem not a technology problem. @BM_DataDowntime discusses the widening AI enthusiasm gap and how to bridge it by focusing on business impact"  
[X Link](https://x.com/TDataScience/status/1979494923033366952) [@TDataScience](/creator/x/TDataScience) 2025-10-18T10:29Z 245.5K followers, 1893 engagements


"In this piece @EivindKjos explores the shift from prompt tuning to full-fledged context engineering revealing how better inputs lead to smarter agents"  
[X Link](https://x.com/TDataScience/status/1979657743972679938) [@TDataScience](/creator/x/TDataScience) 2025-10-18T21:16Z 245.5K followers, 2399 engagements


"Improve how your AI agent processes information by providing clean tool outputs. @EivindKjos shares a method for parsing raw results into a structured string that is easier for the agent to understand"  
[X Link](https://x.com/TDataScience/status/1979745068211679385) [@TDataScience](/creator/x/TDataScience) 2025-10-19T03:03Z 245.5K followers, 2218 engagements


"Learn to automate feature engineering for time-dependent data. Sara Nobrega shares a comprehensive LLM prompt to generate lag rolling window and cyclical features"  
[X Link](https://x.com/TDataScience/status/1979775015340921314) [@TDataScience](/creator/x/TDataScience) 2025-10-19T05:02Z 245.5K followers, 2644 engagements


"Frustrated with having to create different connectors for every LLM vendor Vyacheslav Efimov's article on creating an MCP server streamlines this process with a universal protocol approach"  
[X Link](https://x.com/TDataScience/status/1979853283121361371) [@TDataScience](/creator/x/TDataScience) 2025-10-19T10:13Z 245.5K followers, 1965 engagements


"A hands-on example of building a time-series anomaly detection system entirely through visualization and prompting. By Shuai Guo"  
[X Link](https://x.com/TDataScience/status/1980019626533671004) [@TDataScience](/creator/x/TDataScience) 2025-10-19T21:14Z 245.5K followers, 1966 engagements


"Eliminate budget surprises from your AI initiatives. Ivo Bernardo shares how to provide full visibility on costs especially with variable expenses from cloud infrastructure and LLMs"  
[X Link](https://x.com/TDataScience/status/1980056873286906126) [@TDataScience](/creator/x/TDataScience) 2025-10-19T23:42Z 245.5K followers, 1880 engagements