LLM model strikes Shark Tank😂

I'm thrilled to share our latest developments in our startup: We launched our prototype and it's gaining momentum! Our previous product, currently in stealth mode, has remarkable insights. However, the GPU usage costs have skyrocketed. Our new goal? To build an AI platform that serves as a cost-effective hub for training AI models. No one's tackling this issue, so we are the first ones to solve this issue. We already have some ties with the microchip manufacturer. Here's the thing: While we've been self-funded until now, we're now exploring seed funding. But there's a catch – we're cautious about accelerators and VCs. I have seen them undervalue my mate's company and prioritize quick revenue over steady growth. So how should we go about it ? I'll drop an example post for much clearer problem statement.

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that. Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI. Look forward to all questions :)

Not a high knowledge of LLMs, is this true or a joke?

Is it the new Realty tank? I’m confused after seeing the initial promos and clips. Some showing off with “dialogues” in pitch, while others trying to catch attention using Credit scores. And Sharks? Well, you guys can throw some light on the old & new judges!

Hi all, I graduated from IIT Delhi and have been working at well established startup since. So for a while I have been wondering why we don't have any deep tech startups doing innovation. Don't get me wrong, there are startups doing innovations but not the kind of innovation which we would call industry shattering or taking the level up a notch. Most of these innovations are just integrating what others are doing in an aggregated platform. I again wondered this today when I saw cognition launching Devin the AI software engineer. They have a pretty small yet highly talented team. We in India too have highly intelligent folks educating themselves in CS, why don't we have this mindset (even I don't have this mindset). Is it about the difference in culture or a sense of security that folks in the US have that helps them be free from an economic point of view and try innovative things ?

Ever noticed that Inshorts founder asks maximum questions at Shark Tank and 90% of the time drops off the deal. Talks a lot about profitability, scale and expense management. Attached is a snapshot of his own company that has ballooning losses and expenses. Views ?

She got a higher valuation before, but accepted at lower valuation and gave more of the equity pie She was getting an up round, but chose to stick with previous round valuations Why? What am I missing?

Even though they didn't have great revenue sources.

Yeah, you heard it right. Whatever these “gurus” and course scammers are shilling in the name of prompt engineering and crores of salary is 💩. Heads up, companies are already working on augmenting prompts using Natural Language Generation techniques which build on top of Generative techniques like GPT and other Transformer based Architectures. This is exactly the same as when Search Engines came out and you had to know the right queries to search for to get the answer, perhaps use flags like “site:wikipedia.com” Do we have anything like a Search Query Engineer? As things advance, the human edge of refining prompts will be automated to the highest degrees. Perhaps, Subject Matter Experts will guide for commercial or enterprise level use cases but apart from that…. NO! You will not become rich by becoming a Prompt Engineer. Perhaps, now is the time to look at the next frontiers of AI and work on the cutting edge, that’s the best way to future-proof.