The first chatbot, ELIZA, was developed way back in the 1960s and essentially set the groundwork for future technological innovations. But let’s be honest; it was like a toddler trying to have a conversation. Fast-forward to today’s chatbots, relying on complex algorithms and state-of-the-art machine learning to COMMUNICATE. They began appearing effectively in the early 2000s, utilizing more sophisticated programming to understand sentiment, intent, and user requirements.
Generative AI models, driven by large language models (LLMs), took this to another level. With the rise of models like OpenAI's GPT (Generative Pretrained Transformer) and Anthropic's Claude, chatbots began to
feel more like human representatives rather than machines. They can now respond to thousands of unique inquiries in a matter of seconds, making them an invaluable addition to any support team. According to a post from
Salesforce, AI agents are gradually rendering old-school chatbots obsolete.
Companies like
Ada and
Arsturn are leading the charge in AI chatbot technology. These platforms harness the power of generative AI to create
custom chatbots that can engage users dynamically.
For those looking to build their own AI chatbot, Arsturn offers a great opportunity. With easy integration, businesses can enhance customer experiences without the hassle of undertaking complicated programming tasks.