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Towards Data Science posts on X about llm, realworld, prompt engineering, inference the most. They currently have XXXXXXX followers and XX posts still getting attention that total XXXXXX engagements in the last XX hours.
Social category influence technology brands XXXX% finance XXXX% stocks XXXX% cryptocurrencies XXXX%
Social topic influence llm #41, realworld #85, prompt engineering 5.56%, inference 5.56%, databricks 4.17%, hardware 2.78%, longterm 2.78%, ollama 2.78%, 6969 1.39%, context window XXXX%
Top accounts mentioned or mentioned by @databricks @salhaj @maurodp @ollama @rifcoru @microsofts @awscloud @pytorch @taupirhos @trychroma @openai @thenewstack @redhat @intel @taupirho @fabclemente @javaeeeee1 @maurodp_ @ffmpeg @nvidia
Top assets mentioned IBM (IBM)
Top posts by engagements in the last XX hours
"Your 1M+ context window LLM might be less powerful than you think. Tobias Schnabel's new article reveals working memory as a critical bottleneck for LLMs" @TDataScience on X 2025-07-17 18:25:05 UTC 241.8K followers, 1572 engagements
"Your work data is the next frontier for GenAI. Zsombor Varnagy-Toth's new article reveals X compelling reasons why knowledge workers' output is the most valuable high-quality data source for propelling LLM performance" @TDataScience on X 2025-07-10 00:34:13 UTC 241.8K followers, 2628 engagements
"Tired of wrestling with #SQL Dive into Fabiana Clemente's guide to building an #AIAgent that translates plain English into @Databricks queries" @TDataScience on X 2025-07-13 11:14:08 UTC 241.8K followers, 2499 engagements
"Get the real story on tabular Reinforcement Learning. Oliver S revisits benchmarks highlights key bug fixes and shares updated performance insights for methods like Q-learning SARSA and Tree Backup" @TDataScience on X 2025-07-15 14:42:15 UTC 241.8K followers, 1735 engagements
"Struggling to understand complex codebases that span multiple repos Kory Becker's latest article reveals Context Engineering a powerful Prompt Engineering technique using AI to visually understand software" @TDataScience on X 2025-07-16 20:22:07 UTC 241.8K followers, 1983 engagements
"Yes @AWScloud can be intimidating. But Jiayan Yin's article turns complexity into clarity Explore a real-world ETL pipeline. ingest with Pandas transform with Glue store in Redshift and orchestrate with Airflow" @TDataScience on X 2025-07-17 12:26:20 UTC 241.8K followers, 1732 engagements
"Unlock the full spectrum of LLM Agent capabilities. @maurodp_ shares a recap of prompting techniques covering Regular ReAct CoT Reflexion ToT GoT and PoT with clear explanations and code" @TDataScience on X 2025-07-16 05:12:06 UTC 241.8K followers, 2233 engagements
"Deep learning applications often require processing video data for tasks such as object detection classification and segmentation. David Red Nieto's article shows you how to leverage @PyTorch and @FFmpeg with @NVIDIA hardware acceleration to achieve this optimization" @TDataScience on X 2025-07-14 01:13:07 UTC 241.7K followers, 3308 engagements
"Still fine-tuning prompts by hand Theres a better way. @databricks DSPy turns prompt engineering into a reproducible testable and even optimizable process. Mariya Mansurova walks you through building LLM apps like a programmer" @TDataScience on X 2025-07-09 16:18:16 UTC 241.8K followers, 1865 engagements
"Tired of generic LLM assistants that feel like black boxes Discover how to build your own custom MCP chatbot from scratch in Mariya Mansurova's comprehensive article" @TDataScience on X 2025-07-17 15:12:28 UTC 241.8K followers, 1744 engagements
"LLM evaluation is hard. Manual review doesnt scale. Metrics miss the point. So how are real teams testing models in production Shuai Guo explores LLM-as-a-Judge and covers design tips pitfalls real-world use cases and tools to try" @TDataScience on X 2025-07-17 10:29:10 UTC 241.8K followers, 2675 engagements
"Stop building "useless" ML project. @EgorHowell shares a proven strategy to create a standout portfolio including specific algorithms unique data sources and the crucial step of documenting your work" @TDataScience on X 2025-07-16 16:18:17 UTC 241.8K followers, 1566 engagements
"Freelancing as a data scientist sounds glamorous. until you face the financial realities. Learn how to navigate the hidden hurdles of self-employment. CJ Sullivan's guide reveals the crucial financial and legal strategies US data science freelancers need to know" @TDataScience on X 2025-07-13 04:12:06 UTC 241.8K followers, 3542 engagements
"Your self-driving car stops for no reason. How do you find out why 🚗 Conor OSullivan showcases Grad-CAM an XAI method that uncovers a CNN's reasoning highlighting potential flaws and ensuring safer more reliable AI" @TDataScience on X 2025-07-15 09:12:11 UTC 241.8K followers, 1944 engagements
"Scaling deep learning models in production Chaim Rand's article tackles a common challenge: comparing decentralized vs. centralized inference serving for large-scale algorithmic pipelines" @TDataScience on X 2025-07-13 20:12:19 UTC 241.7K followers, 2761 engagements
"Got a @Streamlit app ready for the world @taupirho's new article is your missing manual for deploying it to @awscloud using Elastic Beanstalk. Learn the step-by-step process for getting your interactive Machine Learning dashboards live" @TDataScience on X 2025-07-16 00:14:08 UTC 241.8K followers, 2877 engagements
"Want to level up your AI strategy 💡 Join our sister site @TheNewStack with @RedHat and @Intel on July XX for a FREE webinar to learn how to move AI from experimentation to enterprise-wide impact. Register now 👉" @TDataScience on X 2025-07-16 14:45:57 UTC 241.8K followers, 1828 engagements
"Months for Bayesian inference No more. Derek Tran shows how to slash inference times from months to minutes using Stochastic Variational Inference and multi-GPU scaling" @TDataScience on X 2025-07-07 10:12:23 UTC 241.8K followers, 2332 engagements
"ChatGPT's energy use: XXXX Wh per query. Does that figure add up 🤔 Kasper Groes Albin Ludvigsen's article breaks down @OpenAI's claim analyzing independent estimates & crucial missing details on the environmental impact of LLM inference" @TDataScience on X 2025-07-14 10:12:11 UTC 241.7K followers, 2182 engagements
"Still fine-tuning prompts by hand Theres a better way. @databricks DSPy turns prompt engineering into a reproducible testable and even optimizable process. Mariya Mansurova walks you through building LLM apps like a programmer" @TDataScience on X 2025-07-06 11:14:07 UTC 241.8K followers, 3376 engagements
"Ditch the coding autopilot 🤔 Stephanie Kirmer explores whether relying on LLMs for "vibe coding" sacrifices long-term developer skills for short-term gains. Discover the risks learn to balance AI assistance + more" @TDataScience on X 2025-07-07 02:14:07 UTC 241.7K followers, 2782 engagements
"Don't just build think about HOW you build with AI. Stephanie Kirmer shares a vital perspective on LLMs in coding arguing for intentional development that nurtures talent and ensures long-term code quality" @TDataScience on X 2025-07-17 09:06:10 UTC 241.8K followers, 2096 engagements
"Unlock the secret to teaching LLMs from their mistakes in plain English. @aparnadhinak's latest article reveals the core mechanics of Prompt Learning: English error terms prompt context modifications and an "optimiser" LLM" @TDataScience on X 2025-07-16 23:23:09 UTC 241.8K followers, 2368 engagements
".@taupirho's guide provides the code to create an MCP server with functions like a Nobel Prize checker and a city temperature tool. See how to deploy them remotely and test with curl or Python" @TDataScience on X 2025-07-14 14:42:16 UTC 241.8K followers, 2044 engagements
"Trending on TDS 💡 How is AI transforming data science interviews This article dives into what hiring managers and candidates must do to adapt as Yu Dong explores rethinking the entire DS interview process" @TDataScience on X 2025-07-17 16:09:25 UTC 241.8K followers, 1536 engagements
"How do you build a web where AI agents speak the same language 🗣 @mercury0100 explores @Google's #A2A inspired concepts like MCP and @invokelab comparing their strengths for real-world API interaction and multi-agent coordination" @TDataScience on X 2025-07-14 07:19:09 UTC 241.8K followers, 2177 engagements
"Prompt engineering isnt about theory its about trust. How do you build LLM prompts that hold up across thousands of production calls a day Ugo Pradre shares X practical techniques that move the needle" @TDataScience on X 2025-07-10 10:29:07 UTC 241.8K followers, 3052 engagements
"Which LLM Agent technique should you use for your next project @maurodp_'s latest comprehensive guide breaks down X types of LLM Agents with simple hands-on Python code examples using @Ollama" @TDataScience on X 2025-07-09 23:23:07 UTC 241.8K followers, 2564 engagements
"Why is your company's internal data gold for LLMs Zsombor Varnagy-Toth argues that work data is higher quality more factual and orders of magnitude bigger than public internet content for training advanced LLMs" @TDataScience on X 2025-07-16 06:13:05 UTC 241.8K followers, 2080 engagements
"5 hard lessons @doppleware learned from their first attempt at leveraging the new MCP technology" @TDataScience on X 2025-07-13 23:42:09 UTC 241.7K followers, 2596 engagements
"Ever wished your LLM could query ClickHouse comb @GitHub and summarize every changelog entry on demand 🤔 Discover how Mariya Mansurovas MCP-powered toolkit converts bespoke functions into reusable tools slashing analyst turnaround time" @TDataScience on X 2025-07-12 03:03:12 UTC 241.8K followers, 2810 engagements
"Eric Chung dives into the key algorithms that power VisionScout focusing on the most technically demanding aspects of multimodal integration: dynamic weight tuning saliency-based visual inference statistically grounded learning semantic alignment and zero-shot generalization with CLIP" @TDataScience on X 2025-07-15 13:18:23 UTC 241.8K followers, 1885 engagements
"From 1989 sci-fi dreams to real-world AI in 2025. David Martin's new article recounts a 30-year journey through the "AI Winter" and "AI Spring" sharing lessons on persistence learning and finding your passion" @TDataScience on X 2025-07-15 00:14:09 UTC 241.8K followers, 2653 engagements
"Stop hand-tuning every voice assistant prompt 🗣 and learn how Automated Prompt Engineering can cut iteration time and boost function-calling accuracy. In Heiko Hotz's latest article learn how to set up a production-ready AI pipeline that listens to real user queries" @TDataScience on X 2025-07-14 19:41:14 UTC 241.8K followers, 2197 engagements
"Shor's algorithm: XX years later where are we really Benjamin Assel's article dives into implementing Shor's running it on @IBM quantum hardware and confronting the reality of quantum noise" @TDataScience on X 2025-07-10 17:19:10 UTC 241.8K followers, 1873 engagements
"Pioneering Multi-Agent AI Systems optimizing LLM Infrastructure or engineering advanced RAG architectures Towards Data Science a XXX% community-driven platform seeks your expertise" @TDataScience on X 2025-07-16 17:19:10 UTC 241.8K followers, 1737 engagements
"How do you iterate on non-deterministic LLMs reliably Robert Martin-Short unveils a robust framework for evaluation-driven development: from SME collaboration and representative datasets to building LLM judges and driving continuous improvement" @TDataScience on X 2025-07-17 03:03:20 UTC 241.8K followers, 2449 engagements
"Meet @maurodp_ ✨ Our latest Author Spotlight features this data scientist who's still nostalgic for scikit-learn but building cutting-edge AI Agents from scratch with @Ollama. Want to contribute your own top-notch content Towards Data Science is made by contributors. Submit your article idea and get published 👉" @TDataScience on X 2025-07-17 20:22:10 UTC 241.8K followers, 1813 engagements
"Think a determinant is just a mysterious side-note in your matrix output @rohitpandey576 unpacks it as the exact scale factor that tells you how a linear map inflates squashes or flips whole n-dimensional regions" @TDataScience on X 2025-07-08 10:12:09 UTC 241.8K followers, 2210 engagements