Suman Kanuganti

❤️‍🔥LAUNCH ANNOUNCEMENT: MODEL-3 by Personal AI, the first no-code platform enabling businesses to rapidly train and deploy specialized AI teams.

Organizations can now CREATE, TRAIN, and ORCHESTRATE AI teammates with deep proprietary knowledge, delivering 10x productivity gains at 1/10th of the cost. Each AI team member is based on a Persona with a specific function, deep proprietary knowledge in their area, and agentic capabilities for end-to-end AI workflows. 🧵👇

A thread from 2021 :). New startups today open with “memory is everything”. VCs and founders are 4-5 years behind on where @PersonalAI_ is.

This is @PersonalAI_.

Our approach to PLMs (millions of specific small language models) lead by @SharonZhang_PAI validates latest NVIDIA's research on "Small Language Models are the Future of Agentic AI":
• 💪 2-10B parameter models match 70B+ models
• 📈 10-30x more cost-efficient
• ⚡️ 5-min fine-tuning vs weeks for LLMs
• 🎯 Zero hallucination from memory layer
• 🏢 Local deployment for data sovereignty

@cartainc you might want to fix typo in your video

Returning to SF from customer on-sites, execs are tired of talking about AI in the abstract... it fails to recognize what real intelligence looks like in the wild.

Take Salomon, whose brand is built on performance, precision, and momentum. Their shoes are engineered for people who move with purpose. And their internal ops are similar. They are very purpose-driven.

We’ve worked with Salomon’s team to deploy various personas that help manage data across geographies, product lines, and supply chains.

This data/memory needs to have purpose. It needs to be processed and transformed in a specific way and made accessible to real humans who are doing great work.

And that’s the point of PLMs. Not just to execute generic tasks, but to reflect the operational DNA of the companies they serve.

AI doesn’t have to be massive to be meaningful.

It has to be precise. It needs to perform for the end user.

🚫 No LLM. Take the pledge: nollm.ai