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- LLM agents flunk CRM and confidentiality tasks • The Register
A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and fail to understand the need for customer confidentiality A team led by Kung-Hsiang Huang, a Salesforce AI researcher, showed that using a new benchmark relying on synthetic data, LLM
- Salesforce study finds LLM agents flunk CRM and . . . - MSN
6-in-10 success rate for single-step tasks A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and fail to understand the need for
- Salesforce Study Finds LLM Agents Flunk CRM and . . .
A new Salesforce-led study found that LLM-based AI agents struggle with real-world CRM tasks, achieving only 58% success on simple tasks and dropping to 35% on multi-step ones They also demonstrated poor confidentiality awareness "Agents demonstrate low confidentiality awareness, which, while impr
- Salesforce study finds LLM Agents Fail 65% of CX Tasks: what . . .
In this post, we unpack what the Salesforce benchmark really says, trace where AI agents break, and offer a framework to assess whether your current AI support strategy is truly ready for scale The Salesforce study evaluated large language model (LLM)-based agents across single-turn and multi-turn customer support scenarios These included:
- Salesforce study finds LLM agents flunk CRM and . . .
6-in-10 success rate for single-step tasks A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and
- Salesforce study finds LLM agents flunk CRM and . . . - Hacker News
It only increases the cost of identifying cases where the LLM has failed That's why I am highly sceptical about using LLMs in situations where accuracy matters And that's even if humans are kept in the loop (we are lazy and are biased towards trusting computations)
- AI flunks logic test: Multiple studies reveal illusion of . . .
The study's co-lead Iman Mirzadeh put it bluntly: "Their process is not logical and intelligent " The results suggest what looks like reasoning is often just pattern matching – statistically
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