How many views does "DeepSeek Just Made Every LLM Faster, For Free" have?

As of Jul 22, 2026 · 14 days ago, it has reached 44.6K views.

How is "DeepSeek Just Made Every LLM Faster, For Free" performing versus Prompt Engineering's normal?

About 4.1x — it has 44.6K views versus the roughly 10.9K Prompt Engineering typically draws at the same age, measured against the channel's own 90-day baseline.

When was "DeepSeek Just Made Every LLM Faster, For Free" published?

It was published Jun 28, 2026 · 38 days ago.

AI & Tools desk — breakout report

DeepSeek Just Made Every LLM Faster, For Free

Name: DeepSeek Just Made Every LLM Faster, For Free
Uploaded: 2026-06-28T12:45:14Z
Duration: 11 min 3 s
Channel: Prompt Engineering
Description: DeepSeek DSpark Explained: 50–400% Faster LLM Inference Without Retraining I break down DeepSeek’s new DSpark (DSSpark) speculative decoding method that speeds up inference by 50–400% on the same model with no retraining or quantization. I explain why standard next-token decoding is memory-bound and slow, then show…

DeepSeek just dropped a method that speeds up any LLM by 50 to 400 percent with zero retraining required, and people are losing their minds trying to understand how it actually works.

Key facts

•4.1x Prompt Engineering's own 90-day median — this channel normally draws about 10.9K views at the same age.
•44.6K views so far, published 38 days ago.
•Category: Science & Technology · Language: en · Quality: HD
•"Breakout" is measured against this exact channel's trailing 90-day median at matching video age — not a generic niche average.

Updated 2026-07-22 16:55 UTC

Video thumbnail: DeepSeek Just Made Every LLM Faster, For Free — Watch on YouTube ↗ · Prompt Engineering · 245K subscribers

View trajectory

Views this upload has gathered since it published, last measured about 580h in — from our own tracking.

Published Jun 28, 2026 · 38 days ago. How breakouts are measured →

From the creator

DeepSeek DSpark Explained: 50–400% Faster LLM Inference Without Retraining I break down DeepSeek’s new DSpark (DSSpark) speculative decoding method that speeds up inference by 50–400% on the same model with no retraining or quantization. I explain why standard next-token decoding is memory-bound and slow, then show…

Category: Science & Technology · Language: en · Quality: HD

Topics: Technology

Tags: prompt engineering, Prompt Engineer, LLMs, AI, artificial Intelligence, Llama, GPT-4, fine-tuning LLMs

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