Hey everyone, I just completed a new course for you: "Data Science Accelerator". This course will be unlocked, together with "Building Applications with LLMs" at level 3. How to level up? Just interact with the group, get likes and comments, and watch your level go up!

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!

Are you going to explain AI agents as well?

Hi all , if someone could help me in finding a resources or already have a digram work flow of a GenAI end to end Project , I've done GenAI projects before but I want something as flow for me to reflect on what I've done . thanks

LangFuzz is a command line tool designed to perform red teaming on language model applications and add any points of interest to a LangSmith Dataset. It generates pairs of similar questions and compares the responses to identify potential failure modes in chatbots or other language model-based systems. For those coming from a software engineering background: this similar to a particular type of fuzz testing called metamorphic testing. https://github.com/hwchase17/langfuzz