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!

Hii Comunity! I want to use Vector Database in one of my AI Application and I want you all to suggest a good database. I know that there is no best Database for all kinds of applications. But I want to know in general which database is good for most tasks according to your experience. Select one of the below option and also write the reason why you have selected that option.

Along with my 40 hour as a Consultant, I also own a toy company. I love the creation process and ideating new toys is so much fun. But I struggle in the prototyping area. It's a lot of work sometimes and the tedium of getting the gears "just right", etc. can suck the life and fun out of a project. So I have been looking at ways to automate a lot of that with AI and, well, it's not quite there yet, but it is far closer than I thought. I toyed around with having Grok create python script for Blender using a prompt and for basic things it works! I imagine I could create a LLM specifically for generating 3D models for automata and then create a library of reusable prompts and parts. Add to that the ability to automatically slice them and queue them up for 3D printing and I'm that much closer to Jarvis. 😁 Have you seen anything like this in practice out in the AI world?

Google has unveiled its latest and most powerful AI model yet: Gemini. It's offering unprecedented capabilities in areas like: ⭐ Multimodal understanding: Gemini can process information from various sources, including text, images, and code, enabling it to understand the world in a more nuanced way. ⭐ Prolific coding: Gemini can generate code across various programming languages, opening up new possibilities for developers and software engineers. (most useful for programmers like us 😉) ⭐ Advanced data analysis: Gemini can analyze vast amounts of data, uncovering hidden patterns and insights that would be impossible for humans to identify. 👉Here are some of the key features of Gemini: - 90.0% score on MMLU: This makes it the first AI model to outperform human experts(89.8) on a comprehensive test of language understanding and problem-solving. - Available in various sizes and capabilities: This allows developers to choose the right model for their specific needs. What do you think, will it beat the ChatGPT?

It's been an eventful week! We started a community project based on the Job Seeker project pitch on our Miro Board. I've developed one or two not-so-small projects in the past, but never have I had to organise a GitHub repository with pull requests. I'm doing so now, making all the errors one can imagine. Here's the progress we made so far: 1. We made a web scraper to scrape job postings from linkedin 2. We prompted the LLM to generate skill key words for every posting Not too shabby for a first time project! There's still lots to cover, mind you: 1. Prompt the LLM to cluster the key words, as they often are too detailed 2. prompt the LLM to analyse a resume for missing keywords from the cluster list And then, a UI. Probably a web page. I imagine something like: 1. Have a set of key words for job titles we already scraped 2. If the user happens to ask for an existing job title, the LLM immediately asks for their resume 3. Otherwise, we start scraping (long process) 4. Then we generate the keywords (long process) 5. Then we generate the clusters (long process) 6. Due to the time involved for steps 3-5, this cannot be a real time process. I suspect we will have to send an email to the user. Oh no! Email servers? The road to hell is paved with good intentions... 7. Now the LLM asks for the user's resume 8. Magic happens. 9. Profit: the user hears the LLM's recommendations about which keywords to add to their resume. Want to help out? Come to our Slack channel and offer your services! ;) Thank you @Brandon Phillips , @Ana Crosatto Thomsen , @Olu Akin , Slav Petkovic (where's he gone?), @Sapnil Patel for making this fun, inspiring and who knows perhaps successful 🎉