Influencers

ML research paper walkthroughs. GNNs, transformers, cutting-edge models.

Stanford ML. Meta-learning, robotics, few-shot learning research.

In-depth ML podcast. Researchers discuss frontier AI topics.

AI product leadership. Building AI products at scale.

AI founder. Building with LLMs, product strategy.

I'm an AI expert (and mad scientist) with over 10 years in Data Science & NLP I've been running my AI Automation Agency, Prompt Advisers, for the past 2 years

ML papers explained accessibly. Diffusion models, LLMs, vision.

Open-source AI. Transformers library, model hub, fine-tuning demos.

AI coding tools, Makepad creator. Rust + AI dev.

ML engineering by Santiago Valdarrama. Production ML, career advice.

NLP researcher and author. Practical NLP book co-author.

Practical AI tutorials. LangChain, vector stores, RAG applications.

Share your videos with friends, family, and the world

Practical LLM engineering. LangChain, RAG, Gemini tutorials.

ML research videos. Weaviate, vector databases, RAG systems.

Data science career and skills. Python, ML, data engineering.

FastAPI, Python, LLM API integrations. Practical backend AI.

GAN and diffusion model paper reviews explained casually.

LLM evaluation methods, benchmarks, leaderboards.

Data and AI platform. Spark, Delta Lake, MLflow, LLM fine-tuning.

Systematic prompt engineering. Frameworks, evaluation, best practices.

Data science engineering. Python, cloud, production ML systems.

MLOps tutorials. Experiment tracking, model monitoring, deployment.

ML engineering in production. Model serving, pipelines, scalability.

The Cognitive Revolution is a podcast about AI where hosts Nathan Labenz and Erik Torenberg interview the builders on the edge of AI and explore the dramatic shift it will unlock over the next decades. If you love The Cognitive Revolution, head over to Moment of Zen ( for weekly episodes from Erik T

LLM engineering, RAG, vector databases. Practical NLP with Pinecone.

Robotics and embodied AI podcast. Research interviews.

AI productivity and tools for knowledge workers.

ML paper walkthroughs over coffee. Weekly deep dives.

Data labeling, AI evaluation, frontier model evals.