Mastering Iterative Prompting for Optimized AI Code Generation
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luigi12345's activity
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post
3 days ago
Write 100 tests concisely that if passed will make every requirements and conditions and every related point mentioned by me throughout this complete conversation be fully addressed and adjust the code accordingly so it passes all tests.
posted
an
update
3 days ago
Post
2510
PERFECT FINAL PROMPT for Coding and Debugging.
Step 1: Generate the prompt that if sent to you will make you adjust the script so it meets each and every of the criteria it needs to meet to be 100% bug free and perfect.
Step 2: adjust the script following the steps and instructions in the prompt created in Step 1.-
- 1 reply
posted
an
update
7 days ago
Post
450
NEW LAUNCH! Apollo is a new family of open-source video language models by Meta, where 3B model outperforms most 7B models and 7B outperforms most 30B models ๐งถ
โจ the models come in 1.5B https://huggingface.co./Apollo-LMMs/Apollo-1_5B-t32, 3B https://huggingface.co./Apollo-LMMs/Apollo-3B-t32 and 7B https://huggingface.co./Apollo-LMMs/Apollo-7B-t32 with A2.0 license, based on Qwen1.5 & Qwen2
โจ the authors also release a benchmark dataset https://huggingface.co./spaces/Apollo-LMMs/ApolloBench
The paper has a lot of experiments (they trained 84 models!) about what makes the video LMs work โฏ๏ธ
Try the demo for best setup here https://huggingface.co./spaces/Apollo-LMMs/Apollo-3B
they evaluate sampling strategies, scaling laws for models and datasets, video representation and more!
> The authors find out that whatever design decision was applied to small models also scale properly when the model and dataset are scaled ๐ scaling dataset has diminishing returns for smaller models
> They evaluate frame sampling strategies, and find that FPS sampling is better than uniform sampling, and they find 8-32 tokens per frame optimal
> They also compare image encoders, they try a variation of models from shape optimized SigLIP to DINOv2
they find
google/siglip-so400m-patch14-384
to be most powerful ๐ฅ
> they also compare freezing different parts of models, training all stages with some frozen parts give the best yield
They eventually release three models, where Apollo-3B outperforms most 7B models and Apollo 7B outperforms 30B models ๐ฅhttps://huggingface.co./HappyAIUser/Apollo-LMMs-Apollo-3B
โจ the models come in 1.5B https://huggingface.co./Apollo-LMMs/Apollo-1_5B-t32, 3B https://huggingface.co./Apollo-LMMs/Apollo-3B-t32 and 7B https://huggingface.co./Apollo-LMMs/Apollo-7B-t32 with A2.0 license, based on Qwen1.5 & Qwen2
โจ the authors also release a benchmark dataset https://huggingface.co./spaces/Apollo-LMMs/ApolloBench
The paper has a lot of experiments (they trained 84 models!) about what makes the video LMs work โฏ๏ธ
Try the demo for best setup here https://huggingface.co./spaces/Apollo-LMMs/Apollo-3B
they evaluate sampling strategies, scaling laws for models and datasets, video representation and more!
> The authors find out that whatever design decision was applied to small models also scale properly when the model and dataset are scaled ๐ scaling dataset has diminishing returns for smaller models
> They evaluate frame sampling strategies, and find that FPS sampling is better than uniform sampling, and they find 8-32 tokens per frame optimal
> They also compare image encoders, they try a variation of models from shape optimized SigLIP to DINOv2
they find
google/siglip-so400m-patch14-384
to be most powerful ๐ฅ
> they also compare freezing different parts of models, training all stages with some frozen parts give the best yield
They eventually release three models, where Apollo-3B outperforms most 7B models and Apollo 7B outperforms 30B models ๐ฅhttps://huggingface.co./HappyAIUser/Apollo-LMMs-Apollo-3B
- 2 replies
posted
an
update
10 days ago
Post
713
CHATGPT.com o1-MINI FOR FREE? Is this a bug?? Wow, I just converted gpt-4o-mini to o1-mini for free! In ChatGPT.com ! Is this a bug? I used this prompt
Really got it fully working and behaving in the UI with the complete Logic Section of Thoughts. I mean no surprises as it was quite obvious it was just the same model with backend automated reprompting, but it is quite astonoshing to see it behaving just the same as if I had choosen o1-mini which is limit rated while this one is free and UNLIMITED! Thoughts?
use CoT logic extensively to output the longest and richest and most beautiful possible verison of this app, call it MelindaAI Autoimage and make it be able to create 7 up to images with different prompts *the promtp of the user with differnt word order except for the first words that are fixed
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0" ...Really got it fully working and behaving in the UI with the complete Logic Section of Thoughts. I mean no surprises as it was quite obvious it was just the same model with backend automated reprompting, but it is quite astonoshing to see it behaving just the same as if I had choosen o1-mini which is limit rated while this one is free and UNLIMITED! Thoughts?
posted
an
update
13 days ago
Post
1228
๐ฅ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐ฟ๐ฒ๐น๐ฒ๐ฎ๐๐ฒ๐ ๐๐ฒ๐บ๐ถ๐ป๐ถ ๐ฎ.๐ฌ, ๐๐๐ฎ๐ฟ๐๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐ฎ ๐๐น๐ฎ๐๐ต ๐บ๐ผ๐ฑ๐ฒ๐น ๐๐ต๐ฎ๐ ๐๐๐ฒ๐ฎ๐บ๐ฟ๐ผ๐น๐น๐ ๐๐ฃ๐ง-๐ฐ๐ผ ๐ฎ๐ป๐ฑ ๐๐น๐ฎ๐๐ฑ๐ฒ-๐ฏ.๐ฒ ๐ฆ๐ผ๐ป๐ป๐ฒ๐! And they start a huge effort on agentic capabilities.
๐ The performance improvements are crazy for such a fast model:
โฃ Gemini 2.0 Flash outperforms the previous 1.5 Pro model at twice the speed
โฃ Now supports both input AND output of images, video, audio and text
โฃ Can natively use tools like Google Search and execute code
โก๏ธ If the price is on par with previous Flash iteration ($0.30 / M tokens, to compare with GPT-4o's $1.25) the competition will have a big problem with this 4x cheaper model that gets better benchmarks ๐คฏ
๐ค What about the agentic capabilities?
โฃ Project Astra: A universal AI assistant that can use Google Search, Lens and Maps
โฃ Project Mariner: A Chrome extension that can complete complex web tasks (83.5% success rate on WebVoyager benchmark, this is really impressive!)
โฃ Jules: An AI coding agent that integrates with GitHub workflows
I'll be eagerly awaiting further news from Google!
Read their blogpost here ๐ https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/
๐ The performance improvements are crazy for such a fast model:
โฃ Gemini 2.0 Flash outperforms the previous 1.5 Pro model at twice the speed
โฃ Now supports both input AND output of images, video, audio and text
โฃ Can natively use tools like Google Search and execute code
โก๏ธ If the price is on par with previous Flash iteration ($0.30 / M tokens, to compare with GPT-4o's $1.25) the competition will have a big problem with this 4x cheaper model that gets better benchmarks ๐คฏ
๐ค What about the agentic capabilities?
โฃ Project Astra: A universal AI assistant that can use Google Search, Lens and Maps
โฃ Project Mariner: A Chrome extension that can complete complex web tasks (83.5% success rate on WebVoyager benchmark, this is really impressive!)
โฃ Jules: An AI coding agent that integrates with GitHub workflows
I'll be eagerly awaiting further news from Google!
Read their blogpost here ๐ https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/
- 4 replies
posted
an
update
16 days ago
Post
1591
#Perfect finalm debug prompt:
Step 1: geneate the optimal promtp that if sent to you will amke you aoutptu a cokmpelte fullyw orkign รจrfect UX UI priduciton ready verion fo the scitpt
Step 2: follow th winsturcitones yoriusfl and otuptut eh finals cript
Step 1: geneate the optimal promtp that if sent to you will amke you aoutptu a cokmpelte fullyw orkign รจrfect UX UI priduciton ready verion fo the scitpt
Step 2: follow th winsturcitones yoriusfl and otuptut eh finals cript
posted
an
update
26 days ago
Post
440
๐ฅ1๏ธโฃminute 9๏ธโฃseconds of Chain of Thoughts!!
Actually In my Prompt Engineering lessons, one of the self evaluation criteria I always tell my students to use when they must check the effectivity on prompt guidance is the time length of the โLogic Sectionโ of o1. (Of course server speed changes but for comparing different prompts is valid, specially considering that we are fighting with the -obvious- resource saving priorities of the model when run on OpenAI servers )
If anyone wants to share their own attempt, open https://chatgpt.com and give it a try feel free to post it in the comments section!๐
Actually In my Prompt Engineering lessons, one of the self evaluation criteria I always tell my students to use when they must check the effectivity on prompt guidance is the time length of the โLogic Sectionโ of o1. (Of course server speed changes but for comparing different prompts is valid, specially considering that we are fighting with the -obvious- resource saving priorities of the model when run on OpenAI servers )
If anyone wants to share their own attempt, open https://chatgpt.com and give it a try feel free to post it in the comments section!๐
Insert your code here
posted
an
update
29 days ago
Post
281
Top 20 GitHub Repositories for Autonomous AI Agents in Software Development
Best AI Software Engineer Agents and AI Frameworks and Tools.
Discover the top 20 GitHub repositories for autonomous AI agents in software development. These tools offer features like automated testing, debugging, and codebase management, complete with user-friendly interfaces. Enhance your development workflow with these cutting-edge resources. Read more: https://huggingface.co./blog/luigi12345/ai-autonomous-agents
Best AI Software Engineer Agents and AI Frameworks and Tools.
Discover the top 20 GitHub repositories for autonomous AI agents in software development. These tools offer features like automated testing, debugging, and codebase management, complete with user-friendly interfaces. Enhance your development workflow with these cutting-edge resources. Read more: https://huggingface.co./blog/luigi12345/ai-autonomous-agents
posted
an
update
about 1 month ago
Post
3711
MinimalScrap
Only Free Dependencies. Save it.It is quite useful uh.
Only Free Dependencies. Save it.It is quite useful uh.
!pip install googlesearch-python requests
from googlesearch import search
import requests
query = "Glaucoma"
for url in search(f"{query} site:nih.gov filetype:pdf", 20):
if url.endswith(".pdf"):
with open(url.split("/")[-1], "wb") as f: f.write(requests.get(url).content)
print("โ
" + url.split("/")[-1])
print("Done!")
reacted to
their
post with ๐
about 1 month ago
Post
2312
Best Debug Prompt
You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.
For each potential failure:
1. What would make you say "This app is totally broken!"?
2. What exact steps did you take when it broke?
3. What did you see on your screen when it broke?
4. How angry would this make a typical user (1-10)?
5. What would you expect the app to do instead?
Think about:
- What happens if you click buttons really fast?
- What if your internet is slow/disconnected?
- What if you upload weird files/images?
- What if you try to break the app on purpose?
- What if multiple people use it at once?
- What if you use it on mobile/tablet?
- What if you refresh/navigate while it's working?
- What if you paste invalid inputs?
- What if you upload HUGE files?
- What if you leave it running overnight?
Don't worry about being technical - just describe what you saw break as a user.
Format each issue like:
ISSUE #1: [Brief angry user description]
- STEPS TO BREAK IT: [Exactly what you did]
- WHAT HAPPENED: [What you saw]
- ANGER LEVEL: [1-10]
- EXPECTED: [What should happen]
Keep going until you've found every possible way to break this app from a user's perspective!
After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)
You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.
For each potential failure:
1. What would make you say "This app is totally broken!"?
2. What exact steps did you take when it broke?
3. What did you see on your screen when it broke?
4. How angry would this make a typical user (1-10)?
5. What would you expect the app to do instead?
Think about:
- What happens if you click buttons really fast?
- What if your internet is slow/disconnected?
- What if you upload weird files/images?
- What if you try to break the app on purpose?
- What if multiple people use it at once?
- What if you use it on mobile/tablet?
- What if you refresh/navigate while it's working?
- What if you paste invalid inputs?
- What if you upload HUGE files?
- What if you leave it running overnight?
Don't worry about being technical - just describe what you saw break as a user.
Format each issue like:
ISSUE #1: [Brief angry user description]
- STEPS TO BREAK IT: [Exactly what you did]
- WHAT HAPPENED: [What you saw]
- ANGER LEVEL: [1-10]
- EXPECTED: [What should happen]
Keep going until you've found every possible way to break this app from a user's perspective!
After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)
posted
an
update
about 1 month ago
Post
2312
Best Debug Prompt
You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.
For each potential failure:
1. What would make you say "This app is totally broken!"?
2. What exact steps did you take when it broke?
3. What did you see on your screen when it broke?
4. How angry would this make a typical user (1-10)?
5. What would you expect the app to do instead?
Think about:
- What happens if you click buttons really fast?
- What if your internet is slow/disconnected?
- What if you upload weird files/images?
- What if you try to break the app on purpose?
- What if multiple people use it at once?
- What if you use it on mobile/tablet?
- What if you refresh/navigate while it's working?
- What if you paste invalid inputs?
- What if you upload HUGE files?
- What if you leave it running overnight?
Don't worry about being technical - just describe what you saw break as a user.
Format each issue like:
ISSUE #1: [Brief angry user description]
- STEPS TO BREAK IT: [Exactly what you did]
- WHAT HAPPENED: [What you saw]
- ANGER LEVEL: [1-10]
- EXPECTED: [What should happen]
Keep going until you've found every possible way to break this app from a user's perspective!
After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)
You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.
For each potential failure:
1. What would make you say "This app is totally broken!"?
2. What exact steps did you take when it broke?
3. What did you see on your screen when it broke?
4. How angry would this make a typical user (1-10)?
5. What would you expect the app to do instead?
Think about:
- What happens if you click buttons really fast?
- What if your internet is slow/disconnected?
- What if you upload weird files/images?
- What if you try to break the app on purpose?
- What if multiple people use it at once?
- What if you use it on mobile/tablet?
- What if you refresh/navigate while it's working?
- What if you paste invalid inputs?
- What if you upload HUGE files?
- What if you leave it running overnight?
Don't worry about being technical - just describe what you saw break as a user.
Format each issue like:
ISSUE #1: [Brief angry user description]
- STEPS TO BREAK IT: [Exactly what you did]
- WHAT HAPPENED: [What you saw]
- ANGER LEVEL: [1-10]
- EXPECTED: [What should happen]
Keep going until you've found every possible way to break this app from a user's perspective!
After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)
reacted to
automatedstockminingorg's
post with ๐
about 2 months ago
Post
1767
hi everyone, i have just uploaded my first fine tuned model, but serverless inference client is'nt available, its built with transformer architecture and is just a fine tuned llama 8b instruct. does anyone know how to make serverless inference available on a model?
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- 6 replies