23:49Long-form

Lost in the Middle: How Language Models use Long Context - Explained!

United StatesPublished July 17, 2023

Views 4.61K  |  Likes 124  |  Comments 10
Views#14,043,194Global
Views#2,646,245United States

Channel

Weaviate vector databaseWeaviate vector database
14.3K subs•361 videos•Sep 2018

At a glance

Views

4,615

Likes

124

Comments

10

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $3 – $9

Based on estimated $0.7–$2 CPM.

About

Hey everyone! Thank you so much for watching this explanation of "Lost in the Middle: How Language Models use Long Context" from Liu et al. 2023! This paper has really interesting findings with regards to the impact of search quality on the resulting generation ability in RAG (Retrieval-Augmented Generation) stacks! Th…

Published
July 17, 2023
Made for kids
No

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How Lost in the Middle: How Language Models use Long Context - Explained! is doing

It has 4.61K views in total. It ranks #14,043,194 among tracked YouTube videos by views.

Key facts about Lost in the Middle: How Language Models use Long Context - Explained!

Total views
4.61K
Total likes
124
Total comments
10
Published
July 17, 2023
Global rank by views
#14,043,194

Frequently asked questions

How many views does Lost in the Middle: How Language Models use Long Context - Explained! have?

Lost in the Middle: How Language Models use Long Context - Explained! has 4,615 views, 124 likes and 10 comments, ranking #14,043,194 among tracked YouTube videos by views.

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What is the outlier score?

How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.

What is engagement rate and how is it calculated?

Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.

How is the revenue estimate calculated?

It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.

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