all things tech.
Exploring the Boundaries of LLMs in Reasoning and Planning
Combining generative and verification components could be a productive way to use LLMs for reasoning and planning tasks. What are your thoughts on this?
all things tech.
Combining generative and verification components could be a productive way to use LLMs for reasoning and planning tasks. What are your thoughts on this?
The objective of this blog is to understand the foundational model key concepts and put them in context that will help anyone visualize them better.
A well-designed tech stack is crucial for
developing effective generative AI systems. Let’s explore the essential components of this stack and some of the innovators who have carved out their niche.
Businesses now can train, deploy and maintain their foundational models in a manner that ensures trust and accuracy at scale with IBM watsonx. The platform comprises of three key components.
Serverless computing (also known as Function-as-a-Service) – Event driven application design and deployment paradigm where all the computing resources are provided as scalable cloud services. Here are the key reasons, organizations need to take advantage of serverless computing
BM Watson Decision Platform for Agriculture gathers data from multiple sources – such as weather, IoT enabled tractors and irrigators, satellite imagery, and more – and provides a single, overarching, predictive view of data as it relates to a farm in an easy-to-use app. Thereby helping the individual growers make informed decisions.