Prompt Engineering Overview
Deep Learning for NLP: PyTorch vs Tensorflow – Elvis Saravia – PyCon Taiwan 2018
Keep Learning ML #2 | Language-conditioned policy learning, Effective ML Testing, EagerPy
Understanding LLM Settings
Few-Shot Prompting Explained
An Introduction to Elastic SIEM by Elvis Saravia
Elvis Saravia - Applied Deep Learning for NLP Using PyTorch - PyCon 2019
How to Build an Agentic RAG system from Scratch in n8n | Customer Support Agent | Short Course
Dive into Deep Learning (Study Group): Linear Neural Networks | Session 3
Introduction to NotebookLM: About the Instructor
Building AI Agents in n8n | (Short Course for Complete Beginners)
Keep Learning ML (Session 1) | DSV, CompLex, Modern tools for emotions
How to contribute to dair.ai?
NotebookLM Crash Course
Building Effective Agents with OpenAI Agents SDK
Getting Started with NLP
How to make IDEs insanely useful with MCP
Keep Learning ML #3 | Contrastively Trained Structured World Models
TLDR Generation of Scientific Documents | ML Interview #1 with Isabel Cachola
Introduction to Reasoning LLMs [1hr Talk]
Exploring Capabilities of Long-Context LLMs
The AI Scientist (Paper Explainer)
Democratizing machine learning education with GitHub - Universe 2022
New prompting method uses thought templates | Buffer of Thoughts
dair-ai.github.io/_posts at master · dair-ai/dair-ai.github.io
![Introduction to Reasoning LLMs [1hr Talk]](https://img.youtube.com/vi/AZhUhGsgz4s/0.jpg)
