Development and comparison of generative artificial intelligence - Geminai and LETR WORKS
Getting started
Advances in AI technologyis leading change in various industries, and in particular Chatbot technologyis revolutionizing the customer experience. Of these, Google's Gemini and Twigfarm's LETR WORKS persona chatbotThey are developing in different directions based on their strengths.
GeminiGoogle recently announced State-of-the-art multimodal AI modelsIt specializes in comprehensively understanding and processing image, voice, and video data beyond simple text. In particular, it has the advantage of linking with various productivity tools such as Google's Workspace, and can be used for a wide range of purposes, such as information retrieval, document automation, and data analysis and visualization.
On the other hand, LETR WORKS persona chatbotIt focuses on customer service and emotional connection Conversations tailored to specific brandsWe aim for real business results by designing and providing real-time information using multilingual support and RAG.
Below, we'll analyze the technical features, key purposes, and use cases of the two chatbot solutions in detail in the form of a blog.
The core purpose of the two technologies
Google Gemini: At the forefront of multimodal general-purpose AI
Google Gemini understands and processes various data such as text, images, voice, and video in an integrated manner Multimodal (Multimodal) AIThis is it. Gemini is also integrated with other Google services and targets a wide range of use cases, such as:
- Deliver search results more intuitively and richly
- Support for complex data interpretation and visualization
- Responding to user questions through image and video analysis
- Text generation, code writing, summaries, etc. Productivity-focused AI tools
LETR WORKS Persona Chatbot: Delivering a Personalized Brand Experience
On the other hand, LETR WORKS persona chatbot is designed to suit specific brands and services personasIt is designed and emphasizes emotional connection in customer interactions. The main goals of this chatbot are:
- Customer service and inquiry resolution
- Conversation design reflecting brand personality
- Communicate with global users through multi-language support
- Give customers an immersive experience
Technical structure and feature comparison
Google Gemini's technical strengths
- Multimodal learning
Geminai learns various data types (text, image, voice, and video) in an integrated manner, and provides natural interaction between different data based on this.
Example: When a user posts a photo and asks a specific question, the photo is analyzed and a contextual response is generated. - Large Language Model (LLM)
Gemini is a large-scale language model comparable to GPT-4, and it also has excellent performance in text-based creation and complex mathematical problem solving. - Integration with Google services
Gemini works with Google Bard, search engines, and workspaces (Google Docs, Sheets, etc.) to enhance real-time work automation and efficiency. - Astra agent
The camera recognizes the surrounding environment and provides real-time responses by combining visual information with user questions.
Technical strengths of LETR WORKS Persona chatbots
- RAG (Retrieval-Augmented Generation)
- It connects to an external database in real time to provide accurate and up-to-date information.
- Example: When a user requests specific information or data, search for relevant documents to generate the most appropriate answer.
- Persona design
- Build chatbots that reflect your brand's unique personality, tone, and conversation style.
- This allows customers to naturally communicate with the brand and feel an emotional connection.
- Reinforcement learning-based optimization
- We learn user feedback through RLHF (RLHF) and continuously improve conversation quality.
- Multi-language support and speech-to-text integration
- It enables both voice input and text-based conversations, and works effectively in multi-lingual environments.
- Useful for services targeting global customers.
users Experience and differentiation
Google Gemini user experience
Gemini is revolutionizing everyday search and information processing. Users can receive visual and intuitive feedback through multimodal data, and tools integrated with Google Workspace can greatly improve work productivity.
User experience with the LETR WORKS Persona chatbot
LETR WORKS chatbots create an emotional connection with users by reflecting the unique characteristics of specific companies and brands. For example, customer support chatbots go beyond simply providing information; they provide empathetic and immersive conversations with users.
Selection Criteria and Conclusions
Google Gemini and LETR WORKS Persona chatbots each have different technical strengths and goals.
- Google GeminiIt excels at solving common data-centered problems, and is suitable as a search and productivity tool.
- LETR WORKS persona chatbotIt's ideal if emotional connection is important in communicating with customers, or if you need a customized chatbot that reflects brand characteristics.
In conclusion, it is important to choose the right technology according to the purpose of use. If you need data-driven analysis and automation, use Geminai, and if you want to focus on user experience and brand communication, use LETR WORKS chatbots!
