Dr. Lance B. Eliot is a world-renowned expert on artificial intelligence with over 8.1+ million amassed views of his AI columns and been featured on CBS 60 Minutes. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.
In today’s column, I closely explore the rapidly emerging advancement of large behavior models that are becoming the go-to for creating AI that runs robots and robotic systems. You might not be familiar with LBMs. No worries. I will be explaining what an LBM is, along with identifying how they end up leveraging large language models and contemporary generative AI.
A catchy moniker for this type of AI is that we shall refer to it as being a large behavior model. This is a logical nomenclature. The AI has a similar semblance of largeness and modeling as does an LLM. The icing on the cake is that the AI can make observations and be observed and undertake and advance in training via behaviors.
I initiated my cooking robot and opted to have the AI prepare me a meal. Yes, in a sense, my son is being replaced by a robot, but only for cooking purposes and only when he’s out-of-town. To be abundantly clear, my son is still my son, and, by gosh, no robot can ever overtake that resolute precept.“Yes. I’ve observed your preferred chopping style from previous cooking sessions. Would you like me to use a rough or fine chop this time?”“Understood. I’ll start with the carrots.
The LBM then asked me if this time I wanted the AI to copy my rough chop type or my fine chop style. All in all, the keystone is that based on observations, the LBM was able to mimic my cooking regimen. I hadn’t explicitly instructed or taught the LBM how to chop vegetables, and instead I merely showed the LBM via my efforts of chopping vegetables. It was based on behavior and observations.I don’t want to seem like a gloomy Gus, but this once again has an upside plus a knotty downside.
An AI research project that initially helped put LBM into the limelight was entitled “TRI’s Robots Learn New Manipulation Skills in an Afternoon. Here’s How.” by Siyuan Feng, Ben Burchfiel, Toffee Albina, and Russ Tedrake,“Most real-world tasks can be solved in many different ways. When picking up a cup, for example, a person might grab it from the top, the side, or even the bottom.
Generative AI Large Language Models LLM Large Behavior Models LBM Artificial Neural Networks Openai Chatgpt GPT-4O O1 Anthropic Claude Google Gemini Meta Llama Robot Robotics AI Ethics Law
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
HLTH ‘24: AI Models Are The Sizzle, Innovative Care Models The SteakI am the Founder and Managing Director of Summit Health Advisors, a unique strategic advisory at the intersection of healthcare and technology, specializing in multi-sided platforms.
Read more »
Large Language Models in Oncology Not Ready for Clinical PracticeDr Maurie Markman discusses the use of large language models in oncology.
Read more »
AI in Medicine: Are Large Language Models Ready for the Exam Room?As large language models evolve, are they really able to assist doctors in delivering accurate, reliable information?
Read more »
Alpine To Use Torque Vectoring To Make Its EVs Feel LighterAlpine will also work to ensure its models are lighter than equivalent Renault and Nissan models
Read more »
Embracing Gen AI at WorkThe skills you need to succeed in the era of large language models
Read more »
Embracing Gen AI at WorkThe skills you need to succeed in the era of large language models
Read more »