DR OMRI ALLOUCHE
DATA & ANALYTICS
Humanising AI Current language models demonstrate impressive capabilities in natural language processing and generation . However , promising developments are being developed that focus on enhancing reasoning abilities .
This includes step-by-step reasoning , causal inference , and logical deduction and induction . These advancements aim to improve models ’ capacity to break down complex problems , understand cause-and-effect relationships , and draw logical conclusions .
Better training data is one of the causes , which can now be synthetically generated , or is more widely collected and more specific to train the model in a more targeted way . This means better , more specific AI systems .
“ If you handed a sales team an AI tool that was based on broad , general LLMs , they ’ d be able to generate answers to nearly any question but few would be of any use ,” explains Dr Omri . “ They would be far better served by one trained on a smaller number of hyper-relevant parameters like real sales calls , as these would be capable of understanding the context of questions being asked to generate meaningful results .”
Equally , algorithmic advances have pushed the boundaries of what ’ s possible . The exponential rise in computing power has already enabled models to be trained on internet-scale data , which has seen AI systems develop advanced cognitive abilities like reasoning , planning and even understanding humour . As computing capacity grows , so does this stand to .
DR OMRI ALLOUCHE
TITLE : CHIEF SCIENTIST COMPANY : GONG INDUSTRY : SOFTWARE LOCATION : ISRAEL
Dr Omri has been a data scientist and a researcher for over 15 years , applying his knowledge to diverse fields , but now settling on AI at his current role in Gong . In his academic writing about AI and computer science , he has been cited close to 7,000 times .
Such computational power will place systems to better perform ‘ few-shot ’ learning . This gives AI systems the greater ability to learn new things without having been told numerous times before .
“ Think about the way a child is taught maths . Instead of expecting them to write down a final answer and nothing else , we teach them to break down their reasoning and show how they came to their calculation ,” says Dr Omri . “ Modern AI systems are being trained in the same manner , leading to a leap forward in their cognitive abilities .”
This all comes together to help usher in a future of one of the really exciting and truly revolutionary stages of AI : Agentic AI .
Application of Agentic AI Characterised by its ability to autonomously pursue complex goals and workflows with minimal human
120 November 2024