Generative AI Models do not understand locations!
releasing a new product that you make a polygon on the map and ask questions like:
what's the population count nearby?
how many restaurants?
Large Language Models are coming to maps and real estate. #LLM#AI
Does the word underwriting here make sense ?
" Underwriting is the process of evaluating a property’s financial viability and risk "
But just like chatGPT, throwing in questions based on your know how result in translating it to an action plan..
app . xmap . ai 🎉
Consulting firms collect so many data points about the location:
Local Demographics
Nearby Competition
Transport Access
Rental Rates
Zoning Laws
Economic Trends
80% of the time is usually spent on data collection and cleaning rather than focusing on the core value
Ever done real-estate due diligence ? We thought about it, if there is a model that can assist in deciding what data points to collect, which one to factor into the decision making process and overlay facts to support the conclusion .. and we built it ..
app . xmap . ai
Objective:
Enhance my physical fitness and stamina
Key Results:
Run 2 times per week, increasing distance from 1km to 3km by December 15.
Track heart rate after workouts, reducing average recovery time from 5 minutes to 3 minutes by the end of year
#GoogleForStartups
(4) Telecom: instead of looking at ton's of dashboards on site reliability and signal strength to understand root causes, LLM's will just tell the quality of signal and the causes of bad signal and recommend improvement
(2) Real estate: LLMs will be able to tell the best property utilization (hotel, mixed landuse or others) and recommend tenants based on studying the area .. after all it's data input and reasoning of it ..
This went viral last week, LLMs do not work well with geospatial data:
Some applications that will be unlocked:
(1) Defence: Retrieve information like how many people live within 1km of this target
Keep reading...
#LLM#LLMs#GenerativeAI
AI is no longer just a chess player. DeepMind's table tennis robot is serving up a serious challenge to human opponents. With a 100% win rate against beginners and a strong showing against intermediates, it’s clear that AI has leveled up in the physical gaming arena.
AI is no longer just a chess player. DeepMind's table tennis robot is serving up a serious challenge to human opponents. With a 100% win rate against beginners and a strong showing against intermediates, it’s clear that AI has leveled up in the physical gaming arena.
AI is no longer just a chess player. DeepMind's table tennis robot is serving up a serious challenge to human opponents. With a 100% win rate against beginners and a strong showing against intermediates, it’s clear that AI has leveled up in the physical gaming arena.
AI is no longer just a chess player. DeepMind's table tennis robot is serving up a serious challenge to human opponents. With a 100% win rate against beginners and a strong showing against intermediates, it’s clear that AI has leveled up in the physical gaming arena.
AI is no longer just a chess player. DeepMind's table tennis robot is serving up a serious challenge to human opponents. With a 100% win rate against beginners and a strong showing against intermediates, it’s clear that AI has leveled up in the physical gaming arena.