RAG & Vector Search

Behind the Screen: How Amazon Prime Video ships RecSys models 4x faster

Hugging Face LLMs with SageMaker + RAG with Pinecone

Lecture 5: Einstein and Experiment

Lecture 11: Waves and Probabilities

Vector Databases for Data Science with Weaviate in Python

LlamaIndex Webinar: Build Personalized AI Characters with RealChar

How to Cultivate Practical Positivity for Success | Gary Vee’s Wisdom

Discover LlamaIndex: Bottoms-Up Development with LLMs (Part 4, Embeddings)

LangChain x Pinecone: Supercharging Llama-2 with RAG

Create a Contextual Chatbot with LLM a Vector Database in 10 Minutes // Raahul Dutta // LLMs Part 2

Rip Drag: Eliminate Your GUI File Manager Again!

Day 21 Empowering the future | Coding and Problem Solving in School

Luis Lopez ITS LIVE: Jupyter and cloud native formats to map climate change | JupyterCon 2023

Stephen Macke IPyflow: Supercharging Jupyter with Dataflow Awareness | JupyterCon 2023

LangChain: Chat with Your Data by DeepLearning.AI Now Available

Embeddings and Retrieval for LLMs: Techniques and Challenges // Anton Troynikov // LLMs in Prod Con

Knowledge Base Creation: First Semantic Search Engine Patent #topicalauthority #seocourse #seo

Embedchain - NEW 🔥 Langchain BABY to build LLM Bots!!!

Destination not working: Google Ads Help

Improve responsive patient service with Google AI

Improve customer service with generative AI

How to Achieve Higher Awareness | Wayne Dyer's Insight in 18 Minutes

Why YOUR Opinion doesn't matter!

Visualization: Integrate Enterprise Data into ChatGPT's Prompt

Data Parallelism Using PyTorch DDP | NVAITC Webinar

Will Software Engineers Survive Against AI?

Hybrid Chatbots: How to Chat with Multiple Data Sources (Pinecone, ChatGPT & More)

LangChain Retrieval QA with Instructor Embeddings & ChromaDB for PDFs

How to Chat with HUNDREDS of Files (500+ Hormozi Podcasts)

The Biggest Misconception about Embeddings

How to check whether a file exists in Python

Optional Discussion: Containment

Lecture 13: Physics under Hitler

Lecture 21: Teaching Feynman's Tools: The Dispersion of Feynman Diagrams in Postwar Physics

Optional Discussion: The Day After Trinity

Lecture 10: Matrices and Uncertainty

Lecture 6: Reception of Special Relativity

Jack Fitzsimons Eyes off data science: a transparently opaque framework for data processing | Jupy

LlamaIndex Webinar: Active Retrieval Augmented Generation

Set A New Standard For Yourself! | Evan Carmichael | #Shorts

Transform Your Good Life to Great with This Morning Routine!

Teaching with MIT OpenCourseWare: Case Studies from Nigeria

Lecture 21: PF (Part 4) / Labor (Part 1)

Lecture 2: Poverty Traps: Theory

Lecture 23: Labor (Part 3)

Lecture 20: Public Finance (Part 3)

Lecture 4: Microarray - Massively Parallel Measurement

Lecture 5: Limits of Technologies