In the world of AI, selecting the right Large Language Model (LLM) for your needs can be challenging. Performance requirements, budget constraints, task complexity, and user feedback all play critical roles in this decision. Among the top contenders in the market are Meta LLaMa, Google Gemini, and Anthropic Claude 3.5 Sonnet, all of which offer competitive alternatives to the current most popular option, OpenAI GPT-4o. Lets take a close look into 13 Game-Changing Use-Cases with Teneo and LLMs! you can use Teneo together with your favorite LLM model.
1. Translate Your Bot
Teneo supports over 86 languages with native capabilities, using custom input processors tailored to each language for precise communication. Unlike standard translation tools, Teneo includes advanced features like part-of-speech and named entity recognition for accurate language processing. Its flexibility in creating output messages and integrating external translation services enhances global communication. Additionally, Teneo can leverage advanced LLMs to seamlessly translate bots, ensuring a consistent and localized experience for a global audience, making it ideal for businesses in multilingual regions or with international customers. Below is an example of a bot being translated to Swedish and English.
2. Read Images
Integrating Teneo with your LLM enables the capability to read and interpret images, opening up numerous applications. For example, in grocery stores, this feature can identify and document damaged packages, facilitating efficient handling of refunds or replacements. By combining visual data with Teneo’s natural language understanding, you can create comprehensive and efficient AI agents that enhance customer service and operational efficiency.
3. Entity Recognition
Entity recognition is another powerful use-case. By leveraging advanced natural language processing, Teneo can identify and extract specific pieces of information from user inputs, such as dates, locations, names, and other relevant data. This is crucial for building context-aware and responsive conversational agents that can accurately understand and respond to user queries.
4. Adaptive Answers
Teneo Adaptive Answers involve creating dynamic, personalized, and empathetic responses based on the context and content of user interactions. By leveraging an advanced LLM, Teneo can generate more personalized and relevant responses, enhancing the user experience. This adaptability ensures that the bot can handle a wide range of scenarios and provide tailored answers.
5. Retrieval-Augmented Generation (RAG)
Teneo RAG (Retrieval-Augmented Generation) is a powerful technique that enhances a LLM, like Amazon Bedrock with your specific knowledge. This allows you to add your data to the AI, enabling it to provide more accurate and detailed responses based on the information you provide. Teneo’s Generative QnA template makes setting up an AI bot with your data quick and easy, allowing for specific and relevant responses in less than three minutes.
6. Input Filtering
Input filtering ensures that your LLM model is ready to answer questions appropriately before responding. For example, in healthcare scenarios, the bot can gather necessary context before providing recommendations. For businesses outside the medical field, input filtering helps maintain the focus and appropriateness of bot interactions, avoiding off-topic or sensitive discussions. Below is an example of GPT-4o answering a question prematurely, and Teneo on the other hand used to deflect the question that are out of scope.
7. Teneo Copilot
Teneo Copilot simplifies the bot creation process by making it easy and quick to create entities, classes, responses, and incorporate your own LLMs into projects. Copilot understands complex queries, suggests appropriate responses, and automates routine tasks, speeding up bot development and leading to more efficient customer service.
8. Testing your bot
Testing your bot is critical to ensuring its effectiveness and reliability. Teneo, combined with an advanced LLM, simulates a wide range of user interactions to thoroughly test the bot’s responses and behavior. This helps identify weaknesses or areas for improvement, including potential hallucinations, ensuring the bot is well-prepared for real-world deployment.
9. Simplify & Summarize Conversations
An advanced LLM’s capability to simplify and summarize complex information is highly valuable. By integrating this with Teneo, bots can condense lengthy documents or explanations into simple summaries. This is essential for customer support, where quick and clear responses are necessary for effective service. In the picture below, you see and example of a Smart Agent Handover, where an LLM is used to summarize the entire conversation for the live agent.
10. Sentiment Analysis
Sentiment analysis involves detecting the emotional tone behind a user’s input. With an LLM’s understanding of language, Teneo can accurately detect user sentiment, allowing the bot to respond appropriately. This is crucial for maintaining positive interactions and providing personalized responses, especially in customer service scenarios. Sentiment analysis is also shown in the picture above where the user is detected as, “Negative, stressed out”.
11. Prompt Hacking
Shielding against prompt hacking ensures that your bot generates appropriate and safe responses. By using Teneo as an additional layer before reaching the LLM, advanced filtering mechanisms can detect and mitigate harmful or inappropriate content, ensuring a secure and respectful user experience. We have recently hosted a Webinar on this exact topic, you can watch it on demand here: Shielding Conversational AI: Defending Against Prompt Hacking Threats.
12. Read Analytics
Teneo offers comprehensive analytics capabilities that your LLM might lack. With detailed insights into every aspect of your bot’s performance, you can capture various KPIs and present them in dashboards like PowerBI. This enables informed decisions for refining and optimizing your bot, ensuring a better user experience and improved performance.
13. Generate Images
Finally, an advanced LLM’s capabilities extend beyond text to generating images. By integrating this with Teneo, bots can provide textual responses and generate relevant images on demand. This is particularly useful for applications in design, marketing, and education, where visual content enhances the user experience.
Discover More With Teneo!
We are experts in this field and can help you with LLM orchestration and any LLM-related questions. Our expertise ensures that you get the most out of your AI projects, no matter the complexity or the model you are using.
These are just a few of the many use-cases where Teneo, combined with your favorite LLM, can revolutionize your AI projects. Remember, most of these use-cases work with any LLM model, and our solutions are not limited to those listed here. If you’re interested in exploring more possibilities, feel free to reach out to us.
Our team is ready to assist you with:
- Customized LLM Agents tailored to your specific needs
- Efficient orchestration and integration of various LLM models
- Expertise in optimizing performance and enhancing the capabilities of your AI systems
- Continuous support and consultation to ensure your projects achieve their full potential