LLM seeking candidates

2024-05-18 16:35

Seeking

We've been busy using LLMs and Generative AI with vision for real enterprise outcomes. The following are deployed examples, PoCs, or ideation discussions for ROI-based enterprise/practical use cases for LLMs and Generative AI with vision:

- Tag, classify and summarise massive volumes of files/docs on SharePoint (including assessing diagrams, images, videos and PDFs).
- Identify elements of floor plans for quoting acceleration.
- Simple, inexpensive alternative to building an ML/Vision model (examples: identify vessel at a wharf, counting vehicle in zone, counting people, identify access to a zone/area, PPE assessment, sprinklers on, dam health/volume).
- Capture data from timesheets (many different timesheet formats).
- Number plate recognition, vehicle type and direction.
- Identify sick/dehydrated plants.
- Identify people/badges at conferences.
- Automatic descriptions of images for classifieds.
- Create a high match rate between related images and descriptions (find description in database from image).
- Comparison of assessment photos (assessing asset degradation).
- Description of assessment photos pushed into reports and forms.
- Application processing (extract data from IDs, data from forms, bill assessment).
- Assess venue occupancy.
- Bounding boxes to speed up labelling for machine vision training.
- Automate maintenance requests for common areas (identify when cleaning is required, unkept grass, dirty glass etc).
- Mining/construction optimisation (identify asset in use vs idle).

Using the LLM/Vision model is easy. As it always has been in data/AI, integrating these use cases into your enterprise process/data stack is the part that takes planning, resources, discipline and experience. If you have an idea that you'd like to talk about in your organisation, we'd be delighted to help you plan the outcome and generate a ROI. Get in touch!

#GPT4Vision, #GPT4o, #AIConsultingGroup, #LLM, #LMM #GenerativeAI