AI Twin goes beyond simply collecting data. It ingests raw signals from across your factory floor, from sensors on machines to environmental indicators.
Beyond the Split: diving into the deep end of conversational experimentation. Build better conversatons with dynamic experimentation.
The playground for experimentation is vast - experiment with different LLM, different embedding provider, different ways to query vector DB.
Prompt enginering have many experiment and user try different tone, persona, design variation. br/>In addition test different visual design and see how user interact with website and chatbot.
Response design is another area to explore and determine whether user like detail, summary, graphs format.
Harness the power of qualitative and quantitative data to drive the future of your Data Product. Run experiments, segment users, analyze results, and make data-driven decisions - all through A/B experiment tools or simply integrae with existing tools and dataset to use part of functionality needed.
Unleash OpenAI's versatility: Craft creative content, automate tasks, search knowledge bases with reasoning, and refine models (including fine-tuning, datasets, and multi-model evaluation).
Unleash the power of Google's Gemini LLM to create intelligent search apps, engaging conversational agents, and personalized recommendation systems that anticipate user needs.
Partner with Dataknobs to unlock the full potential of Gemini. Our team specializes in fine-tuning, dataset preparation, and model evaluation, ensuring optimal performance for your unique projects.
Try available options like Pinecone, Mongo DB Vector, Chroma DB, Lance DB, Milvus, Weaviate and others. Consider factors like scalability, query speed, accuracy, ease of use, and supported data types. Select the database that best suits your specific use case, hardware constraints, and performance requirements.
Try different search indexing methods to find the most efficient and accurate way to retrieve relevant context for your queries. Play with how you break down your retrieved content into chunks for feeding to the LLM. Experiment with different chunk sizes and overlapping strategies
Try different prompting styles and information inclusion strategies.Let domain expert try different prompt, change temperature to balance creativity with factuality in the generated text. Test with user profile and see whether chatbot and assitant work well with all user profile. Create and manage collections of pre-defined prompts to guide conversations and elicit specific information. Facilitate adaptive responses based on user input and conversation context.
Create user profile and evaluate results on different user profiles. Track metrics like task completion rate, time saved, time to completion, user satisfaction surveys, and error rates, segmented by user profile. Evaluate and fine tune AI assistant for your user base.
Unleash data-driven decision making with our A/B testing tools: choose our cloud-based solution "abexperiment". Run insightful A/B tests with ease! Customize the underlying code with integrate notebooks.
Deploy our package on your servers for deeper customization. Optimize your website and AI Assitant with confidence. Deploy in your enviornment without the need for moving real data to cloud.
Benefits and Impact
Want to test new production tweaks without risking real-world disruptions? AI Twin's virtual environment lets you experiment safely and see the potential impact before making changes.
To build a commercial data product, create a base data product. Then add extension to these data product by adding various types of transformation. However it lead to complexity as you have to manage Data Lineage. Use knobs for lineage and extensibility
Forget data overload! AI Twin transforms raw data into actionable insights in the form of easily digestible data products,
AI Twin's data products are designed for both humans and machines. Business users gain clear, actionable insights, while automated processes can leverage the data for real-time optimization. With AI Twin, you can:
Reduce downtime, minimize waste, and maximize production output..
Implement predictive maintenance to avoid costly breakdowns and keep your machines running smoothly
Fine-tune your operations for maximum efficiency and quality control.
Startup and enterprise who wish to build their own AI Asssitant can hire expertise to build
Choose a partner with deep experience in delivering LLm based chatbot, Agents and Assistant
Hire experts who have built kreatebots Stock, Finance AI assitant, real estate AI Agent, chatbot for travel