
Lost in the Middle: How Language Models use Long Context - Explained!
Published July 17, 2023
At a glance
Views
4,615
Likes
124
Comments
10
Performance vs. channel
All-time outlier score
Engagement rate
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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
More features coming
We're working on new analytics and tools. Stay tuned.
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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View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
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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