Mint Explainer | Why open-weight AI is gaining ground over proprietary models

Indian AI startups, have been using open-weight models to build enterprise AI applications for some time. Mint explains why.
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

AI tool improves prediction of who will respond to cancer immunotherapy drugs

Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.

Trunk Tools' stack cut document review from 60 days to 10 by ditching general-purpose models

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.
Analytics Insight

Big Data Consulting for AI ROI: How Better Data Turns AI Projects into Business Results

AI systems create value only when they can work with reliable business data. A predictive model trained on incomplete transaction records, a chatbot connected t ...