Best explanation
"a pull request or a PR, it's basically a request to have your code"
Git and GitHub for Beginners - Crash Course
Public index moment — strongest composite transcript signals for this topic (heuristic).
Topic research hub
Basically
Basically: just shorthand for set upstream. So I'm going to hit enter here. And now it's pushed up to GitHub. And it's even giving me a hint for how to create a pull request on GitHub, by giving me these instructions here. So what…
High-signal research hub
Best transcript moments
Canonical moments ranked from the public index — preferring multi-word, semantic excerpts where available.
a pull request or a PR, it's basically a request to have your code
Git and GitHub for Beginners - Crash Course
43:15
it what is the actual process Happening Here Yeah so basically it gets a thousand words
Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
44:29
called Fusion algorithms to basically take the results from both Vector search and
What is Vector Search? | Vector Databases with Weaviate: Part 2 | Community Webinar
53:13
called Fusion algorithms to basically take the
What is Vector Search? | Vector Databases with Weaviate: Part 2 | Community Webinar
53:11
you synthesize that with an L1 so that's basically the key stack
Building Production-Ready RAG Applications: Jerry Liu
2:21
provider and the API
Deepset's Haystack 2.0: End-to-End LLM Pipelines for RAG Applications
43:09
Why did we build this? What was kind of the intention
Building with MCP and the Claude API
1:34
el to evaluate a pipeline based on what we are evaluating on so we
Evaluating Retrieval Augmented Generation for a PubMed QA App
6:42
rmers aren't
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)
25:11
- Short or messy excerpt — ranking is uncertain.
Videos discussing this topic
What is Vector Search? | Vector Databases with Weaviate: Part 2 | Community Webinar
2 indexed moments · Data Science Dojo
Git and GitHub for Beginners - Crash Course
1 indexed moment · freeCodeCamp.org
Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
1 indexed moment · Lex Fridman
Building Production-Ready RAG Applications: Jerry Liu
1 indexed moment · AI Engineer
Deepset's Haystack 2.0: End-to-End LLM Pipelines for RAG Applications
1 indexed moment · deepset
Building with MCP and the Claude API
1 indexed moment · Anthropic
Evaluating Retrieval Augmented Generation for a PubMed QA App
1 indexed moment · Haystack
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)
1 indexed moment · Yannic Kilcher
Related topics
Related searches
a pull request or a PR, it's basically a request to have your codeit what is the actual process Happening Here Yeah so basically it gets a thousand wordscalled Fusion algorithms to basically take the results from both Vector search andcalled Fusion algorithms to basically take theyou synthesize that with an L1 so that's basically the key stackprovider and the APIWhy did we build this? What was kind of the intentionel to evaluate a pipeline based on what we are evaluating on so wermers aren't
Creators discussing this topic
Continue researching
Jump into search, other hubs, and the public moment index to go deeper in-session.
Research lens
Best answer across indexed moments
Grouped by transcript heuristics only — not generative summaries and not fact-checking. Empty slots mean we did not find a confident match for that role in this hub.
Beginner explanation
"it what is the actual process Happening Here Yeah so basically it gets a thousand words"
Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
Public index moment — beginner / definitional wording in the excerpt.
Technical explanation
"you synthesize that with an L1 so that's basically the key stack"
Building Production-Ready RAG Applications: Jerry Liu
Public index moment — technical vocabulary or systems detail in the excerpt.
Primary-source style moment
"rmers aren't"
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)
Public index moment — references specs, standards, or documentation-style speech (still verify).
Compare explanations
Different experts and framings on the same topic — compare before you decide.
"a pull request or a PR, it's basically a request to have your code"
Git and GitHub for Beginners - Crash Course
Tutorial / walkthrough style
"it what is the actual process Happening Here Yeah so basically it gets a thousand words"
Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
Tutorial / walkthrough style
"called Fusion algorithms to basically take the results from both Vector search and"
What is Vector Search? | Vector Databases with Weaviate: Part 2 | Community Webinar
Tutorial / walkthrough style
"you synthesize that with an L1 so that's basically the key stack"
Building Production-Ready RAG Applications: Jerry Liu
Tutorial / walkthrough style
"provider and the API"
Deepset's Haystack 2.0: End-to-End LLM Pipelines for RAG Applications
Tutorial / walkthrough style
"Why did we build this? What was kind of the intention"
Building with MCP and the Claude API
Tutorial / walkthrough style
Referenced by multiple experts — 6 distinct channels in this comparison.
Help grow the technical explanation index
Get notified as we index more engineering talks and tutorials for in-video transcript search.