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4 contributions to Data Alchemy
Humanizing AI
I came across this term 'Humanizing AI' today and asked GPT for help: Humanizing AI is about creating AI systems that not only perform tasks efficiently but also interact with and understand humans in a way that is natural, empathetic, and respectful of human values and needs. This approach is critical for making AI a valuable and accepted part of our daily lives. Wondering if it is feasible.
3 likes • Oct '23
Unfortunately, where ethical people are working hard to make good use of this technology, there is another group doing the opposite. We need to get ready for the bad guys to scare society with scams and other bad practices. This will affect the mass's opinion about AI and will affect us negatively while getting questioned and attacked.
The AI evolution
Hello everyone. Just wanted to share something small. I read this blog which talked about how Large Language Models (LLMs) have evolved over the past months. Firstly, we have pre-trained LLMs which give the user output based on the data they've been trained with. A good example is OpenAI's Chat GPT trained on GPT 3.5 and GPT 4.0 (premium). Now, you can also have access to these LLMs and train them with specific data to perform a specific task. This is how many AI websites are springing up - the take the base LLMs, repeatedly train it with data until it is good enough to produce reasonable output. The following trend is going to be a break in the AI evolution. Recently, developers are trying to build AI interfaces in a way such that they produce a key based on user input, index all relevant data, use that data and info from your input to give you an output. It's similar to how CPUs and RAMs work together. When processing data, CPUs retrieve data necessary from the RAM which accesses this data from the HDD/SSD. It then uses this processes user input with any relevant data from the RAM into output. After this the data is discarded from the RAM This means that LLMs won't have to be trained over and over again for better accuracy and wouldn't consume large amounts of data. This will also greatly boost generative AI capabilities. Hope what I shared was good enough. Let me know if you need any clarifications.
4 likes • Oct '23
Just so we are all on the same page... Are you saying that, instead of training LLMs with data to provide outputs, people are training LLMs to learn from user inputs? Something like if ChatGPT learned from all users' inputs and the answers generated by these (which can be validated via users' feedback)? I recently read an article about scientists making faster discoveries via Models that were trained on user interactions. Scientists fed the LLM with thoughts, formulas, analysis, and results, and over time, the Model "connected the dots" to bring new points of view, uncover new ideas, and provide new answers to mysteries.
Cookiecutter loading Issues
After installing pip install cookiecutter, I run the command "cookiecutter https://github.com/drivendata/cookiecutter-data-science " and i get the following error: Traceback (most recent call last): File "<frozen runpy>", line 198, in _run_module_as_main File "<frozen runpy>", line 88, in _run_code File "C:\Users\ruizj\miniconda3\Scripts\cookiecutter.exe\__main__.py", line 7, in <module> File "C:\Users\ruizj\miniconda3\Lib\site-packages\click\core.py", line 1157, in __call__ return self.main(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\ruizj\miniconda3\Lib\site-packages\click\core.py", line 1078, in main rv = self.invoke(ctx) ^^^^^^^^^^^^^^^^ File "C:\Users\ruizj\miniconda3\Lib\site-packages\click\core.py", line 1434, in invoke return ctx.invoke(self.callback, **ctx.params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\ruizj\miniconda3\Lib\site-packages\click\core.py", line 783, in invoke return __callback(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\ruizj\miniconda3\Lib\site-packages\cookiecutter\cli.py", line 202, in main cookiecutter( File "C:\Users\ruizj\miniconda3\Lib\site-packages\cookiecutter\main.py", line 80, in cookiecutter base_repo_dir, cleanup_base_repo_dir = determine_repo_dir( ^^^^^^^^^^^^^^^^^^^ File "C:\Users\ruizj\miniconda3\Lib\site-packages\cookiecutter\repository.py", line 107, in determine_repo_dir cloned_repo = clone( ^^^^^^ File "C:\Users\ruizj\miniconda3\Lib\site-packages\cookiecutter\vcs.py", line 85, in clone raise VCSNotInstalled(msg) cookiecutter.exceptions.VCSNotInstalled: 'git' is not installed. I don't know how to proceed. Anyone can help me please?? Thanks in advance!
3 likes • Oct '23
I didn't check GPT. Instead googled it. I had to install Git Bash as I'm running on Windows. All good now! Thanks for checking out tho!
Welcome to Data Alchemy - Start Here
The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!
Welcome to Data Alchemy - Start Here
8 likes • Oct '23
Hi there! My name is Jandru, I'm from Mallorca and fell in love with Dave's Roadmap. I think it's one of the best ways to learn about AIs and LLMs. I hope this community helps me bring my ideas to life!
5 likes • Oct '23
@Marco Bottaro Hahaha Nice one! It could be interesting to work hands-on together on future projects.
1-4 of 4
Jandru Ruiz
3
38points to level up
@jandru-ruiz-4548
Former architect and multimedia designer on an all-in journey to master AI

Active 171d ago
Joined Oct 21, 2023
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