The Unreasonable Effectiveness of Prompt "Engineering"
Related videos
Engineering The Perfect First Date
Mark Rober
209.5k views
The Death of RAG?
bycloud
15.0k views
Sonnet 4.5 Is Here—And It’s a Beast at Coding
Prompt Engineering
52.0k views
Is It EVEN Possible To Reverse Engineer AI’s Training Data?
bycloud
39.5k views
GPT-OSS Jailbreak with this Simple Trick
Prompt Engineering
54.4k views
The Side Effects of Overusing ChatGPT For Homework
bycloud
26.6k views
Context Engineering is All You NEED!
Prompt Engineering
38.7k views
The Only Embedding Model You Need for RAG
Prompt Engineering
35.2k views
Gemini CLI — Google’s Free Open-Source Coding Agent
Prompt Engineering
56.6k views
1-Bit LLM: The Most Efficient LLM Possible?
bycloud
349.0k views
Unlock all features
FREE: Get instant access to 10 AI summaries, chats, or transcripts per day.
Unlock all features
FREE: Get instant access to 10 AI summaries, chats, or transcripts per day.
Unlock all features
FREE: Get instant access to 10 AI summaries, chats, or transcripts per day.
Unlock all features
FREE: Get instant access to 10 AI summaries, chats, or transcripts per day.
Unlock all features
FREE: Get instant access to 10 AI summaries, chats, or transcripts per day.
Related videos
Engineering The Perfect First Date
Mark Rober
209.5k views
The Death of RAG?
bycloud
15.0k views
Sonnet 4.5 Is Here—And It’s a Beast at Coding
Prompt Engineering
52.0k views
Is It EVEN Possible To Reverse Engineer AI’s Training Data?
bycloud
39.5k views
GPT-OSS Jailbreak with this Simple Trick
Prompt Engineering
54.4k views
The Side Effects of Overusing ChatGPT For Homework
bycloud
26.6k views
Context Engineering is All You NEED!
Prompt Engineering
38.7k views
The Only Embedding Model You Need for RAG
Prompt Engineering
35.2k views
Gemini CLI — Google’s Free Open-Source Coding Agent
Prompt Engineering
56.6k views
1-Bit LLM: The Most Efficient LLM Possible?
bycloud
349.0k views
Top Comments (10)
User: "Read the question again" LLM: <I guess I was wrong... let me guess another answer>
Seeeeeeee!!!!Its a real job guys!!! 😭😡
In my view the worst nighmare for software engineer/programmer is becoming fully prompt engineer. A monkey that sit at computer and typing some bullsh!t nonesence in hope that somehow this sh!t will happen to work properly without even thoughts of what happens under the hood... Oh wait a minute...
I love how prompt engineering is basically "don't make mistakes and give me a good answer" and the AI is basically like "ohhhh that's what you mean" and then does it 😂
To be honest, not a fan of the new editing style, where everything is moving, wobbling and highlighting. Otherwise, a nice video, thanks.
You suggest that the performance of the O1 model on STEM questions indicates that reasoning fine-tuning only uncovers what was already present in the model. However, it seems more likely that the improved performance in STEM is due to the fact that the reasoning chains used for fine-tuning the O1 model were largely focused on STEM problems. These types of problems allow for easier verification of whether a reasoning chain leads to a correct solution. To my knowledge, they had a large language model create millions of reasoning chains specifically for STEM issues and then selected only a small fraction of those that resulted in correct answers for fine-tuning the O1 model. This approach would clearly explain why it excels in STEM while struggling with subjects like English literature, without suggesting that it is limited to merely what was already in the model.
Prompt 'Engineering': How to talk to a computer until he tells you what you want to hear. "That sounds like torture" "Advance interigation techniques" "Tortu-" "Advance. Interigation. Techniques!"
BROTHERS and SISTERS HERE"S THE FREE non-technical guide for using AI in your business: https://clickhubspot.com/fuu7
Prompt engineers when chatbots improve their inference and take over their jobs
I often like to imagine models as mech suits, and the human piloting it as the pilot. In this way, it’s not really “engineering”, but a good pilot and a bad pilot can make a difference quite a lot of the time.
Unlock the Data Inside
Turn Videos into Knowledge
- Get FREE 10/day: transcripts, summaries, chats
- Chat with videos, export text & PDF
- $1 free API credit for RAG, chatbots & research
Free forever plan • All features unlocked
Top Comments (10)
User: "Read the question again" LLM: <I guess I was wrong... let me guess another answer>
Seeeeeeee!!!!Its a real job guys!!! 😭😡
In my view the worst nighmare for software engineer/programmer is becoming fully prompt engineer. A monkey that sit at computer and typing some bullsh!t nonesence in hope that somehow this sh!t will happen to work properly without even thoughts of what happens under the hood... Oh wait a minute...
I love how prompt engineering is basically "don't make mistakes and give me a good answer" and the AI is basically like "ohhhh that's what you mean" and then does it 😂
To be honest, not a fan of the new editing style, where everything is moving, wobbling and highlighting. Otherwise, a nice video, thanks.
You suggest that the performance of the O1 model on STEM questions indicates that reasoning fine-tuning only uncovers what was already present in the model. However, it seems more likely that the improved performance in STEM is due to the fact that the reasoning chains used for fine-tuning the O1 model were largely focused on STEM problems. These types of problems allow for easier verification of whether a reasoning chain leads to a correct solution. To my knowledge, they had a large language model create millions of reasoning chains specifically for STEM issues and then selected only a small fraction of those that resulted in correct answers for fine-tuning the O1 model. This approach would clearly explain why it excels in STEM while struggling with subjects like English literature, without suggesting that it is limited to merely what was already in the model.
Prompt 'Engineering': How to talk to a computer until he tells you what you want to hear. "That sounds like torture" "Advance interigation techniques" "Tortu-" "Advance. Interigation. Techniques!"
BROTHERS and SISTERS HERE"S THE FREE non-technical guide for using AI in your business: https://clickhubspot.com/fuu7
Prompt engineers when chatbots improve their inference and take over their jobs
I often like to imagine models as mech suits, and the human piloting it as the pilot. In this way, it’s not really “engineering”, but a good pilot and a bad pilot can make a difference quite a lot of the time.