a very optimistic view of AI future... good sales!
Nvidia Just Revealed The Future Of AI Agents In 2025.. - YouTube
Jensen Huang Special Address from NVIDIA AI Summit Japan - YouTube
What Are AI Agents? Benefits, Examples, Types | Salesforce US
What are AI Agents?- Agents in Artificial Intelligence Explained - AWS
AI agents — what they are, and how they'll change the way we work - Source @Microsoft
Non-agentic AI chatbots are ones without available tools, memory and reasoning. They can only reach short-term goals and cannot plan ahead. As we know them, non-agentic chatbots require continuous user input to respond. They can produce responses to common prompts that most likely align with user expectations but perform poorly on questions unique to the user and their data. Since these chatbots do not hold memory, they cannot learn from their mistakes if their responses are unsatisfactory.In contrast, agentic AI chatbots learn to adapt to user expectations over time, providing a more personalized experience and comprehensive responses. They can complete complex tasks by creating subtasks without human intervention and considering different plans. These plans can also be self-corrected and updated as needed. Agentic AI chatbots, unlike non-agentic ones, assess their tools and use their available resources to fill in information gaps.
