I've been working with Large Language Models (LLMs) for a year now. Creating apps for businesses ranging from SME's to Enterprises. Here are 5 lessons I learned in 2023: 1. Quality data is still the key to success 2. Start with internally-facing applications (lower risk) 3. Transitioning from PoC to production is challenging 4. Implement LLM Operations (LLMOps) from day one 5. Be prepared to change your architecture every quarter What's your biggest lesson from learning or working with AI this year? P.S. Are we already connected on LinkedIn?

Hey all, reporting back with news about our project: Ana, Brandon and I have been busy preparing the data pipeline from scraping to analysis: - scraping we search for a specific job title on LinkedIn (e.g., Data Engineer) and scrape X number of search results pages. we save the resulting data (e.g., title, location, description, etc.) into a json file with help of the pydantic module - skills extraction we prompt the LLM to extract required skills from the job descriptions. again with the help of pydantic, we save the resulting data into a json file. - skills clustering the resulting json is far too detailed to be useful, so we prompt the LLM to evaluate the skills and identify and name clusters of skills. pydantic, json, file. - data processing we have taken a first shot at processing this data: dimensionality reduction, association rule mining, network analysis. we are just at the beginning, but it's super inspiring that we got this far in our own project. it's too early to report findings, but once we find something interesting, we'll let you know :) I recommend everybody to find like-minded community members and embark on projects where you can contribute, learn and co-operate. It's motivating to know that you are on a joint endeavour. Speaking of which: thanks to Zachary, our team was able to reach out to an organisation in East Africa that helps farmers turn to organic farming. We had our first meeting yesterday and learnt so much about their objectives and the problems they face. We are brainstorming on what project we can design so we learn, collaborate and contribute. Ana is extremely talented in bringing people together and materialising opportunities. It's thanks to her enthusiasm that we got this far with the organic farming project! Over and out, back to enjoying ourselves on our self initiated projects :)

Dave is a great instructor, but the 95% of the group is in level 1 or 2, so they can't get access to lock content and Would like to know How do you feel about it? It seems pretty difficult to me to get 20 likes. :)

A question to experienced Anaconda users. Q: Do you create Anaconda environment for each individual project that you are working on or you have some other strategy to create the environments.

I'm new here and I see there are a lot of others as well. Some of you have mentioned an interest in LLM. Here is a quick 5 minute clip that explains them really clearly and simply, I hope this will be useful to you. https://www.youtube.com/watch?v=5sLYAQS9sWQ