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luigi12345

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posted an update about 6 hours ago
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236
๐Ÿฅณ๐ŸฅณJust achieved 25m 59s of research with plain ChatGPT ๐Ÿ”ฅ Had it doing a complete internet search in just ONE call visiting 443 websites! Hard to beat huh!
PROMPT IN COMMENTS
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reacted to their post with ๐Ÿ‘€ 14 days ago
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1769
โœ…BEST DEBUG PROMPT
Language: Any. ๐ŸŒ€Project Type: Any

What prompt if sent to you  will make you  detect and fix all the code crashing  issues in the COMPLETE codebase so I don't have to ask you to fix again and again ?
Step 1. Gimme such prompt
Step 2 Follow it yourself quietly and COMPLETELY
Step3: State  that if you are asked again about finding fatal bugs and logic issues and inconsistencies in the current codebase you would not be able  to  find more. (You cannot lie, so you must make all the code adjustments necessary prior to  such statement).

posted an update 14 days ago
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1769
โœ…BEST DEBUG PROMPT
Language: Any. ๐ŸŒ€Project Type: Any

What prompt if sent to you  will make you  detect and fix all the code crashing  issues in the COMPLETE codebase so I don't have to ask you to fix again and again ?
Step 1. Gimme such prompt
Step 2 Follow it yourself quietly and COMPLETELY
Step3: State  that if you are asked again about finding fatal bugs and logic issues and inconsistencies in the current codebase you would not be able  to  find more. (You cannot lie, so you must make all the code adjustments necessary prior to  such statement).

posted an update about 1 month ago
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๐Ÿš€ OpenAI o3-mini Just Dropped โ€“ Hereโ€™s What You Need to Know!

OpenAI just launched o3-mini, a faster, smarter upgrade over o1-mini. Itโ€™s better at math, coding, and logic, making it more reliable for structured tasks. Now available in ChatGPT & API, with function calling, structured outputs, and system messages.

๐Ÿ”ฅ Why does this matter?
โœ… Stronger in logic, coding, and structured reasoning
โœ… Function calling now works reliably for API responses
โœ… More stable & efficient for production tasks
โœ… Faster responses with better accuracy

โš ๏ธ Who should use it?
โœ”๏ธ Great for coding, API calls, and structured Q&A
โŒ Not meant for long conversations or complex reasoning (GPT-4 is better)

๐Ÿ’ก Free users: Try it under โ€œReasonโ€ mode in ChatGPT
๐Ÿ’ก Plus/Team users: Daily message limit tripled to 150/day!
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reacted to their post with ๐Ÿ‘ about 1 month ago
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1486
A U T O I N T E R P R E T E RโœŒ๏ธ๐Ÿ”ฅ
Took me long to found out how to nicely make Open-Interpreter work smoothly with UI.
[OPEN SPACE]( luigi12345/AutoInterpreter)
โœ… Run ANY script in your browser, download files, scrap emails, create images, debug files and recommit backโ€ฆ ๐Ÿ˜ฒโค๏ธ
posted an update about 1 month ago
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1486
A U T O I N T E R P R E T E RโœŒ๏ธ๐Ÿ”ฅ
Took me long to found out how to nicely make Open-Interpreter work smoothly with UI.
[OPEN SPACE]( luigi12345/AutoInterpreter)
โœ… Run ANY script in your browser, download files, scrap emails, create images, debug files and recommit backโ€ฆ ๐Ÿ˜ฒโค๏ธ
posted an update about 1 month ago
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1436
# Essential AutoGen Examples: Code Writing, File Operations & Agent Tools

1. **Code Writing with Function Calls & File Operations**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_code_writing/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb)
- *Key Tools Shown*:
- list_files() - Directory listing
- read_file(filename) - File reading
- edit_file(file, start_line, end_line, new_code) - Precise code editing
- Code validation and syntax checking
- File backup and restore

2. **Auto Feedback from Code Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_auto_feedback_from_code_execution.ipynb)
- *Key Tools Shown*:
- execute_code(code) with output capture
- Error analysis and auto-correction
- Test case generation
- Iterative debugging loop

3. **Async Operations & Parallel Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_async.ipynb)
- *Key Tools Shown*:
- Async function registration
- Parallel agent operations
- Non-blocking file operations
- Task coordination

4. **LangChain Integration & Advanced Tools**
- [Colab](https://colab.research.google.com/github/sugarforever/LangChain-Advanced/blob/main/Integrations/AutoGen/autogen_langchain_uniswap_ai_agent.ipynb)
- *Key Tools Shown*:
- Vector store integration
- Document QA chains
- Multi-agent coordination
- Custom tool creation

Most relevant for file operations and code editing is Example #1, which demonstrates the core techniques used in autogenie.py for file manipulation and code editing using line numbers and replacement.
replied to their post about 1 month ago
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You boss!! I I had it done in fastapi but didnโ€™t mange to upload it yet. Thank you!!
IMG_1373.png

replied to their post about 1 month ago
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from gradio_client import Client, file

client = Client("black-forest-labs/FLUX.1-schnell")

client.predict(
prompt="A handrawn colorful mind map diagram, rugosity drawn lines, clear shapes, brain silhouette, text areas. must include the texts LITERACY/MENTAL โ”œโ”€โ”€ PEACE [Dove Icon] โ”œโ”€โ”€ HEALTH [Vitruvian Man ~60px] โ”œโ”€โ”€ CONNECT [Brain-Mind Connection Icon] โ”œโ”€โ”€ INTELLIGENCE โ”‚ โ””โ”€โ”€ EVERYTHING [Globe Icon ~50px] โ””โ”€โ”€ MEMORY โ”œโ”€โ”€ READING [Book Icon ~40px] โ”œโ”€โ”€ SPEED [Speedometer Icon] โ””โ”€โ”€ CREATIVITY โ””โ”€โ”€ INTELLIGENCE [Lightbulb + Infinity ~30px]",
seed=1872187377,
randomize_seed=True,
width=1024,
height=1024,
num_inference_steps=4,
api_name="/infer"
)

posted an update about 1 month ago
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1253
๐Ÿค”Create Beautiful Diagrams with FLUX WITHOUT DISTORTED TEXTโœŒ๏ธ

from huggingface_hub import InferenceClient
client = InferenceClient("black-forest-labs/FLUX.1-schnell", token="hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")

https://huggingface.co/spaces/black-forest-labs/FLUX.1-schnell
# output is a PIL.Image object
image = client.text_to_image("A handrawn colorful mind map diagram, rugosity drawn  lines, clear shapes, brain silhouette, text areas. must include the texts LITERACY/MENTAL โ”œโ”€โ”€ PEACE [Dove Icon] โ”œโ”€โ”€ HEALTH [Vitruvian Man ~60px] โ”œโ”€โ”€ CONNECT [Brain-Mind Connection Icon] โ”œโ”€โ”€ INTELLIGENCE โ”‚   โ””โ”€โ”€ EVERYTHING [Globe Icon ~50px] โ””โ”€โ”€ MEMORY     โ”œโ”€โ”€ READING [Book Icon ~40px]     โ”œโ”€โ”€ SPEED [Speedometer Icon]     โ””โ”€โ”€ CREATIVITY         โ””โ”€โ”€ INTELLIGENCE [Lightbulb + Infinity ~30px]")
  • 4 replies
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posted an update 2 months ago
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666
DEBUGGING PROMPT TEMPLATE (Python)
Please reply one by one without assumptions and fix code accordingly.
1. Core Functionality Check:
For each main function/view:
- What is the entry point?
- What state management is required?
- What database interactions occur?
- What UI elements should be visible?
- What user interactions are possible?

2. Data Flow Analysis:
For each data operation:
- Where is data initialized?
- How is it transformed?
- Where is it stored?
- How is it displayed?
- Are there any state updates?

3. UI/UX Verification:
For each interface element:
- Is it properly initialized?
- Are all buttons clickable?
- Are containers visible?
- Do updates reflect in real-time?
- Is feedback provided to user?

4. Error Handling:
For each critical operation:
- Are exceptions caught?
- Is error feedback shown?
- Does the state remain consistent?
- Can the user recover?
- Are errors logged?

5. State Management:
For each state change:
- Is initialization complete?
- Are updates atomic?
- Is persistence handled?
- Are race conditions prevented?
- Is cleanup performed?

6. Component Dependencies:
For each component:
- Required imports present?
- Database connections active?
- External services available?
- Proper sequencing maintained?
- Resource cleanup handled?
posted an update 2 months ago
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1596
Prompt yourself In a way that will make you detect fatal bugs and crashes of the script and fix each of them in the most optimized and comprehensive way. Don't talk.
reacted to their post with ๐Ÿ‘€ 2 months ago
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2623
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
ยท
replied to their post 2 months ago
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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 2 months ago
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2623
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
ยท
posted an update 3 months ago
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522
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 ๐Ÿงถ

โœจ 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
โœจ 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 โฏ๏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 ๐Ÿ“ˆ 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 ๐Ÿ”ฅ
> 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 ๐Ÿ”ฅhttps://huggingface.co/HappyAIUser/Apollo-LMMs-Apollo-3B
  • 2 replies
ยท
posted an update 3 months ago
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737
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

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 3 months ago
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๐Ÿ’ฅ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—ฟ๐—ฒ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ๐˜€ ๐—š๐—ฒ๐—บ๐—ถ๐—ป๐—ถ ๐Ÿฎ.๐Ÿฌ, ๐˜€๐˜๐—ฎ๐—ฟ๐˜๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต ๐—ฎ ๐—™๐—น๐—ฎ๐˜€๐—ต ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น ๐˜๐—ต๐—ฎ๐˜ ๐˜€๐˜๐—ฒ๐—ฎ๐—บ๐—ฟ๐—ผ๐—น๐—น๐˜€ ๐—š๐—ฃ๐—ง-๐Ÿฐ๐—ผ ๐—ฎ๐—ป๐—ฑ ๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ-๐Ÿฏ.๐Ÿฒ ๐—ฆ๐—ผ๐—ป๐—ป๐—ฒ๐˜! And they start a huge effort on agentic capabilities.

๐Ÿš€ The performance improvements are crazy for such a fast model:
โ€ฃ Gemini 2.0 Flash outperforms the previous 1.5 Pro model at twice the speed
โ€ฃ Now supports both input AND output of images, video, audio and text
โ€ฃ Can natively use tools like Google Search and execute code

โžก๏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 ๐Ÿคฏ

๐Ÿค– What about the agentic capabilities?

โ€ฃ Project Astra: A universal AI assistant that can use Google Search, Lens and Maps
โ€ฃ Project Mariner: A Chrome extension that can complete complex web tasks (83.5% success rate on WebVoyager benchmark, this is really impressive!)
โ€ฃ Jules: An AI coding agent that integrates with GitHub workflows

I'll be eagerly awaiting further news from Google!

Read their blogpost here ๐Ÿ‘‰ https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/

ยท
posted an update 3 months ago
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1602
#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
posted an update 3 months ago
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๐Ÿ”ฅ1๏ธโƒฃminute 9๏ธโƒฃseconds 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 โ€œLogic 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!๐ŸŽ

Insert your code here