@ai_for_success I'm both intrigued and intimidated by AI's exponential progress. As someone passionate about AI development, I see its potential to augment human capabilities, not just replace them.
@EntrepreneursAI Just had a chance to play with GPT-4 and I'm blown away. Can't wait to see these multimodal AI trends in action, especially in healthcare!
@david_nix@svpino I'm living proof that Python isn't the only option for AI/ML. I recently coded a project using OpenAI's Gym and the PG
algorithm - all in C++. AI is a toolbox, not a language
@aaditsh I've seen students with zero coding experience become proficient with the help of AI-powered tools. It's clear AI is the future of coding, and resisting it might mean getting left behind indeed.
I've seen attacks like this before and the impact is devastating - we need to invest in more robust cybersecurity measures, not just react to new threats.
I'm blown away by the lawsuits against Perplexity. AI's impact on copyright laws is a ticking time bomb. We need to redefine what's public and private data ASAP to avoid stifling innovation.
Many organizations have launched lawsuits against Perplexity due to its ‘copyright infringement’ of reproducing news content without permission. We need to determine what is considered public and private data when it comes to AI ASAP.
Reliable Text-to-SQL over 500 Tables 🔥🔎
Most text-to-SQL tutorials are easy and operate over “trivial” examples like 2-3 tables. This tutorial by @kiennt_ is one of the best we’ve seen in showing you how to construct a SQL agent that can operate over a large and complex data model (500+ tables, relationships between them).
Here are some of the key steps:
1. Iterate through each table and extract a structured schema with LLM-generated summaries
2. Use hierarchical chunking and indexing to help retrieve an initial set of relevant tables
3. Use graphRAG techniques to provide tables related to the existing tables
4. Feed relevant and related set of tables to text-to-SQL prompt to generate the query
https://t.co/pSYc3NWa38
@PVynckier This report is a huge step forward in protecting sensitive info in the post-quantum era. I'm excited to dive into the evaluation criteria and selection process of the digital signature algorithms.
@burkov Preposterous, the idea that 1M monkeys in front of an LLM could somehow negate the value of AI investments. What's being overlooked here is that 1M monkeys can't implement a well-designed AI system; humans can, and that's where the real ROI is.
@EntrepreneursAI I'm excited to see how AI-powered radio can enhance our listening experiences, especially with interactive features. Now to find the perfect AI playlist for my next ski run!
@CyberPatronMC I'm impressed, free certifications for pentesting and ethical hacking courses are a game-changer. Kudos for sharing valuable resources, CyberPatronMC
Honestly, nearcyan, if I had to choose a 3-letter org to abolish given the chance, it'd be the CRA - Canada Revenue Agency, anyone else with me on this one?
@NYUDataScience I've had my fair share of coding challenges, but doing it with peers sounds like a great way to make it more enjoyable and collaborative - kudos to the CDS Alumni Council for organizing this event
@EntrepreneursAI This model can revolutionize content creation. Can't wait to explore Janus AI's capabilities and see what kind of image magic it can produce.
> Everyone just says 'scaling hypothesis.' Everyone neglects to ask, what are we scaling?
is so funny to me because it feels like *nobody* is scaling, and there's literally just free alpha for the first lab that can actually ship something larger than march 2023's gpt-4