I've been watching some Mr. Beast interviews lately and I find the fact that he used analytics to become the most subscribed youtuber of all time fascinating. One thing he mentioned in his backstory; was that he found 4 or 5 other people that wanted to be youtuber early in his career and jumped on calls with them every day for long periods of time and they shared everything they learned. In his words this 5X'd his learning speed. I would like to do the same for Data Science / AI freelancing. I am looking for ~4 other people to jump on calls with ~every day to discuss Data Science / AI Freelancing. I love this community but I want to do what Mr. Beast did as well. So leave a comment or message me if you are interested. This is not an attempt to sell anything or build any kind of funnel so I hope it's not against the rules. Thank you for reading.

Hi community, I'm reaching out for your expertise and advice. On Friday, while working on a Power BI project with Python integration, I encountered a frustrating issue. Everything was running smoothly until I modified the dashboard design by copying a measure. Suddenly, 50,000 rows of data were reduced to just 2,000 rows. Despite my attempts to run the code again and recover the data, I kept encountering errors. I tried removing the Python script and re-uploading the CSV files that were originally generated by the script, but the dashboard still did not display the correct values. I’m eager to understand how to address this issue effectively and avoid similar problems in the future. If anyone has experience with recovering data lost due to Python script errors in Power BI or any advice on best practices for handling such situations, your insights would be incredibly valuable. Unfortunately, this error led to losing hours of work, which has been quite disheartening. I’m ready to redo the project, but I’d greatly appreciate any tips or strategies to better handle and recover from such issues so that if I get this error in the future, I can deal with it. Thank you in advance for your help! #DataScience #PowerBI #Python #DataRecovery #Analytics #TechCommunity

Perfect date...

I have just created, My First Ai project an Interactive Chatbox using Amazon Bedrock running on AWS, it uses Anthropics Claude Version2.1 AI model. My Demo App running on an EC2 instance can be found here http://54.209.0.147:8501/, the youtube video used for the project can be found here https://www.youtube.com/watch?v=E1-mUfpeRu0, and the deployment guide can be found here https://docs.streamlit.io/deploy/tutorials, for you to experiment with.

Meta is releasing a new suite of security benchmarks for for LLMs, CyberSecEval 3, to continue the conversation on empirically measuring LLM cybersecurity risks and capabilities. CyberSecEval 3 assesses 8 different risks across two broad categories: risk to third parties, and risk to application developers and end users. "Compared to previous work, we add new areas focused on offensive security capabilities: automated social engineering, scaling manual offensive cyber operations, and autonomous offensive cyber operations. In this paper we discuss applying these benchmarks to the Llama 3 models and a suite of contemporaneous state-of-the-art LLMs, enabling us to contextualize risks both with and without mitigations in place." https://arxiv.org/html/2408.01605v1 https://github.com/meta-llama/PurpleLlama/tree/main/CybersecurityBenchmarks