Even though we have been witnessing consistent advancements in existing AI models and techniques, there are still limitations such as hallucinatory predictions, and lack of inference. These shortcomings act as an impediment in the wide scale commercial adoption. Moreover, in domains with lack of training data and high-risk environments, we need significantly reliable models which can respond to dynamic surroundings.
World Models can help to overcome these challenges, as they can create an internal representation of the environment and use it to simulate future events. They provide an edge over existing LLMs, as they can deal with uncertainty, learn by prediction and observation, and are capable of reaction and reasoned planning.
This webinar is focused on exploring the capabilities of ‘world models’ and understand its technicalities through a simple basic model. Designed for professionals associated with digital transformation and exploring applications and use cases of emerging technologies, agnostic of industry or any business function.
The key takeaways of this webinar:
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