Copilot can analyze the current
Posted: Sun May 25, 2025 4:53 am
Copilot will scan potential deals to find the ones that are at risk and, if asked, can summarize the records for managers.
Copilot can help service agents resolve an over-billing issue for a customer, gathering the right information for troubleshooting.
customer sentiment for a potential deal and recommend the actions needed to close the deal over the next three months.
In these use cases and many others like these, Agentforce Assistant is essentially acting as a semi-autonomous agent, using LLMs as reasoning engines and taking actions to fulfill tasks afghanistan phone number list when prompted by users. This is just the beginning; the next frontier is making Agentforce Assistant fully autonomous so that it is not only assistive but proactive and omnipresent.
AI holds a thrilling future, but even more exciting are the results of global efficiency sure to come.In 2023, we witnessed the rapid development of generative AI, starting with the ascent of ChatGPT. This led to a surge in the creation of competitive closed-source large language models (LLMs) like Claude, Command, and Gemini as well as open-source models such as Llama-2, Mistral, including our released model XGen. Despite all of the advancements and rapid improvements, issues in these models such as a tendency to produce biased or factually inconsistent output may prevent users from fully trusting such systems.
Copilot can help service agents resolve an over-billing issue for a customer, gathering the right information for troubleshooting.
customer sentiment for a potential deal and recommend the actions needed to close the deal over the next three months.
In these use cases and many others like these, Agentforce Assistant is essentially acting as a semi-autonomous agent, using LLMs as reasoning engines and taking actions to fulfill tasks afghanistan phone number list when prompted by users. This is just the beginning; the next frontier is making Agentforce Assistant fully autonomous so that it is not only assistive but proactive and omnipresent.
AI holds a thrilling future, but even more exciting are the results of global efficiency sure to come.In 2023, we witnessed the rapid development of generative AI, starting with the ascent of ChatGPT. This led to a surge in the creation of competitive closed-source large language models (LLMs) like Claude, Command, and Gemini as well as open-source models such as Llama-2, Mistral, including our released model XGen. Despite all of the advancements and rapid improvements, issues in these models such as a tendency to produce biased or factually inconsistent output may prevent users from fully trusting such systems.