Turing Post

Turing Post

Home
FODs
FM/LLM Series
Corporate Chronicle
Twitter Library
Archive
About

Twitter Library

FOD#44: How Far Are We?
Let's discuss the recent papers that offer a few insights on potential of human-machines collaboration
FOD#43: How do you Prompt a Black Box?
we explore the updated problem of black box and offer the best curated list of the freshest ML news and papers
Key Insights from Dr. Andrew Ng's Stanford Talk
In the rapidly evolving landscape of artificial intelligence (AI), few voices carry as much authority and insight as Dr.
Unique list of open-source vector databases, libraries, and versatile platforms with vector functionality
Milvus, Qdrant, Faiss, Weaviate, and other databases to work with LLMs and other foundation models
10 companies for synthetic data generation
Gartner predicts that by 2030, machine learning models will use synthetic data exclusively, making real data unnecessary.
10 open-source tools for LLM applications development
Development Frameworks and Platforms
FOD#36: Navigating the Global AI Landscape
recent AI developments across the globe, main news from AI leaders, and the best-curated list of research papers
7 resources to master prompt engineering
Learn the skill of the future
FOD#30: One Year of ChatGPT – The Impact
Reflecting on ChatGPT's milestones in conversational AI, education, healthcare, and ethical AI discussions
5 Open Computer Vision Courses Across Top Universities
From Geometric Vision to Deep Learning: Unveiling the Leading-edge Curricula of NYU, UC Berkeley, UW, UT Austin, and Stanford
Insights from Sasha Luccioni's TED Talk on Impact of AI
Ethical AI, Environmental Impact, and Bias in Machine Learning
5 Must-Read Books on AI Ethics
Unpacking the Philosophical, Ethical, and Socioeconomic Dimensions of Artificial Intelligence
© 2025 Ksenia Se
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture