The disappointment of first generation nlp chatbots
Posted: Sat Dec 07, 2024 5:35 am
Our team does it every day: explaining the latest capabilities of our product to gaping executives who can't quite believe that, yes, our ai agents are truly autonomous. And while everyone and their uncle are doing ai, very few vendors are actually moving the needle.
I've found that the best way to distinguish between the wide variety of software called "chatbots" is to explain where we come from. The true business value of the latest ai solutions is best understood when we see the great strides they have made in recent years.
Botpress has a unique perspective on the evolution of ai agents: we were there from the beginning, and we are actively forging the next standard.
Create ai agents
create real ai agents, llm
start now
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remember those chatbots that seemed to poland mobile phone number be everywhere a few years ago? The ones that promised to revolutionize customer service and automate interactions?
Unfortunately, many of the first nlp-based chatbots became more of a novelty than a necessity.
Chatbots were nothing more than meaningless chatter
of course they could answer simple questions and perform some simple tasks. But its limitations soon became apparent.
For example, how many times have you encountered a chatbot that didn't understand anything you asked, forcing you to rephrase the question several times? Or worse yet, a chatbot that gave you irrelevant answers, leaving you frustrated until a human had to intervene?
In a previous life, my team commercialized the first nlp capabilities, used primarily for electronic publishing. Our customers were delighted when the software achieved 70-75% accuracy in natural language understanding.
These next-generation robots were less about autonomy and more about being a band-aid until real help arrived.
The rise of llm agents
the era of great linguistic models (llms) is coming. And with them, a new breed of ai chatbots that make their predecessors look like relics.
Called chatbots, such as botpress, provided a truly revolutionary level of linguistic precision and conversational skill.
Ai chatbots offer end-to-end digital experiences
these bots could maintain the tone, voice, and integrity of the brand in all interactions, ensuring that each conversation aligned with the brand values, used up-to-date product terminology, and remained free of hallucinations.
Whether it's crafting the perfect response to a complex customer query or engaging in genuine small talk, ai chatbots excel at delivering natural and, most importantly, on-brand conversations.
Its ability to understand and retain context sets the technology apart, allowing it to handle complex queries that would have stumped older robots.
I've found that the best way to distinguish between the wide variety of software called "chatbots" is to explain where we come from. The true business value of the latest ai solutions is best understood when we see the great strides they have made in recent years.
Botpress has a unique perspective on the evolution of ai agents: we were there from the beginning, and we are actively forging the next standard.
Create ai agents
create real ai agents, llm
start now
no credit card needed
remember those chatbots that seemed to poland mobile phone number be everywhere a few years ago? The ones that promised to revolutionize customer service and automate interactions?
Unfortunately, many of the first nlp-based chatbots became more of a novelty than a necessity.
Chatbots were nothing more than meaningless chatter
of course they could answer simple questions and perform some simple tasks. But its limitations soon became apparent.
For example, how many times have you encountered a chatbot that didn't understand anything you asked, forcing you to rephrase the question several times? Or worse yet, a chatbot that gave you irrelevant answers, leaving you frustrated until a human had to intervene?
In a previous life, my team commercialized the first nlp capabilities, used primarily for electronic publishing. Our customers were delighted when the software achieved 70-75% accuracy in natural language understanding.
These next-generation robots were less about autonomy and more about being a band-aid until real help arrived.
The rise of llm agents
the era of great linguistic models (llms) is coming. And with them, a new breed of ai chatbots that make their predecessors look like relics.
Called chatbots, such as botpress, provided a truly revolutionary level of linguistic precision and conversational skill.
Ai chatbots offer end-to-end digital experiences
these bots could maintain the tone, voice, and integrity of the brand in all interactions, ensuring that each conversation aligned with the brand values, used up-to-date product terminology, and remained free of hallucinations.
Whether it's crafting the perfect response to a complex customer query or engaging in genuine small talk, ai chatbots excel at delivering natural and, most importantly, on-brand conversations.
Its ability to understand and retain context sets the technology apart, allowing it to handle complex queries that would have stumped older robots.