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Posted: Sat Feb 01, 2025 10:01 am
Conclusion
Personalized and high-tech customer service is not a luxury, but a necessity for modern business. Companies that implement innovative solutions gain a competitive advantage and build long-term relationships with customers.
With tools like SalesAI, you can take your service to the next level, turning every customer into a loyal and satisfied partner. Invest in technology and personalization to stay one step ahead of the competition:
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Small Language Models: Less is More
by Rodion Magdalenko | Jan 20, 2025 | Conversion , Customer Success , Manual , Sales Strategy
When it comes to generative artificial intelligence (AI) and the language models that power it, it often turns out that smaller can be more profitable. Many companies are finding that small language models tailored to specific tasks are not only more effective, but also more cost-effective than their bulky, general-purpose counterparts. They are cheaper to train and operate, and in some cases even outperform large language models (LLMs) that try to do everything at once.
Personalized and high-tech customer service is not a luxury, but a necessity for modern business. Companies that implement innovative solutions gain a competitive advantage and build long-term relationships with customers.
With tools like SalesAI, you can take your service to the next level, turning every customer into a loyal and satisfied partner. Invest in technology and personalization to stay one step ahead of the competition:
By filling out and submitting the registration form, you agree to shandong mobile database receive newsletters and advertising mailings and to the associated processing of personal data.
Small Language Models: Less is More
by Rodion Magdalenko | Jan 20, 2025 | Conversion , Customer Success , Manual , Sales Strategy
When it comes to generative artificial intelligence (AI) and the language models that power it, it often turns out that smaller can be more profitable. Many companies are finding that small language models tailored to specific tasks are not only more effective, but also more cost-effective than their bulky, general-purpose counterparts. They are cheaper to train and operate, and in some cases even outperform large language models (LLMs) that try to do everything at once.