I made a quick video yesterday trying to explain what is the big deal with Deepseek. There are many, but distilling OpenAI models is definitely not one of them. Open-source is great, too. But the real deal is them proving that with a new technique (MLA) it is more efficient (93.3% better) to run LLMs WHILE preserving same performance. I made a blog post with links here. Let's use this post as a forum, ask any questions. What do you think? What are you excited about? Concerns?

Hi everyone! I'm an AI enthusiast and I'm thrilled to be part of this amazing group. I'm looking forward to learning together and helping each other automate tasks and boost our productivity with AI. Can't wait to share experiences and help each other! Let’s help each other grow and have fun along the way. Looking forward to connecting with you all! 😊

👀 Curious to hear how is everyone else using NotebookLM: https://notebooklm.google/ ? Made this video in October, but maybe it is still relevant. Considering to turn it into a YT video, what do you think? 👇 My Use Cases: 1. If you want to keep up with the latest in AI: 👉 I am generating a "Daily Dose of AI" podcast of what happened in the last 24 hours in AI, so I can listen to it while cycling to the office. (this includes no-code automation, which is not that complicated.) I am scraping Reddit & Hacker News because I want news + I perform sentiment analysis and want further research so I get info from different sources. 2. If you own Big Tech stock or invest money: 👉 I upload K-10 Statements from Big Tech companies (NVIDIA, Microsoft, Google, etc.), this allows me to ask questions about their finances, where they are investing, expanding, etc. Things usually you don't find floating on the internet. K-10 statements are publicly available information. 3. I uploaded all Warren Buffet Shareholder letters. 👉 So, this is a simple one, listened to the podcast about it, and can ask questions, etc. you can find investor letters here. 4. Self-Awareness Report & 2 AIs gossiping about you: 👉 I explained this in greater detail on Linkedin. But in essence, get AI to interview you, build a report on you, your goals, strengths, and weaknesses, ask tough questions, etc. And Plug all that in NotebookLM, sit and blush listening to AIs critique you or discuss you. :D LinkedIn post with prompts. ⁉️ Question: Have you used NotebookLM & How are you using it?

Interesting meta analysis of evidence here concluded: chat agents significantly reduced symptoms of depression and distress. I can give more details to anyone interested or you can read the full paper here: https://pmc.ncbi.nlm.nih.gov/articles/PMC10730549/ Li H, Zhang R, Lee YC, Kraut RE, Mohr DC. Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being. NPJ Digit Med. 2023 Dec 19;6(1):236. doi: 10.1038/s41746-023-00979-5. PMID: 38114588; PMCID: PMC10730549.

Let's get to know, and learn from each other! ✅ First Action: Introduce yourself - Where are you from? - What do you do for a living? - 1 Fun Fact About You 🍺 - Your LinkedIn (if you like to connect with people) ✅ Second Action: Start Onboarding and Claim Your Welcome Gift Let's get to know, and learn from each other! P.S. I am still in construction mode, but welcome the first community members!