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Wish you and your beloved family a happy and successful lunar new year 2024!
Wish you and your beloved family a happy and successful lunar new year 2024!
From our team at ABN Asia!
We built websites with super speed. Want to make your webiste fast? Get in touch.
We built websites with super speed. Want to make your webiste fast? Get in touch.
Aggregated data from 2 million corporate records in sub-second time. Proudly present ABN’s big data technology.
We proudly present our big data technology, that allowed us to run aggregated data from 2 million corporate records and present in a widely used portal with sub-second load time! That made us proud.
Our technology stack made it possible to conduct heavy computations and present them in highly intuitive formats.
Even more, our Ai models allowed us to analyze the data and explain it to the viewers, and they can understand the deep economic concepts with easy.
Proud of what we’ve been able to do. We are also more than happy if you would need the same for your use cases. If so, do let us know. We’re more than happy to work with you.
How we build ABN Buratino, the business copilot that do not lie.
At ABN, we’ve constructed ABN Buratino, a Generative AI for corporations, with a commitment to truthfulness. ABN Buratino utilizes cutting-edge technology, integrating Retrieval Augmented Generation (RAG) models and Large Language Models (LLM) with Elasticsearch. This combination results in a powerful Generative AI service that prioritizes honesty and precision. Here’s an overview of the sophisticated technology stack and its application:
1. Architecture Overview:
– Generative AI Model: We use the RAG model to feed vector, real-world data to LLM.
– Large Language Models (LLM): We incorporate the latest advancements in Large Language Models to enhance the AI’s comprehension and generation capabilities.
– Elasticsearch: This serves as the core backend for data storage, retrieval, and indexing, ensuring quick and scalable access to information.
2. Recall-Accuracy Trade-off in RAG:
– Recall Enhancement: We fine-tune RAG models to optimize recall, expanding context understanding and reducing the risk of generating inaccurate or misleading information.
– Accuracy Measures: We implement sophisticated accuracy measures to refine the content generated, maintaining a delicate balance between recall and precision.
3. Integration of RAG and LLM:
– Combined Power: We merge the strengths of RAG for contextual understanding with the advanced language processing capabilities of Large Language Models.
– Fine-tuning: We tailor both RAG and LLM to specific business domains, ensuring domain-specific accuracy and relevance.
4. Elasticsearch for Knowledge Base:
– Indexing Data: We utilize Elasticsearch for efficient indexing of vast structured and unstructured data, creating a comprehensive knowledge base.
– Real-time Retrieval: We capitalize on Elasticsearch’s real-time retrieval capabilities to ensure the AI model accesses the most recent information.
5. Enhanced User Interaction:
– Natural Language Processing (NLP): We implement state-of-the-art NLP techniques for understanding user queries in natural language.
– Contextual Responses: We generate responses with consideration for the conversation context, providing more relevant and coherent answers.
6. Ensuring Ethical AI:
– Ethical Guidelines: We adhere to strict ethical guidelines to prevent the generation of misleading or biased information.
– Bias Mitigation: We employ techniques to identify and mitigate biases in the training data, ensuring fair and unbiased responses.
7. Continuous Learning and Improvement:
– Feedback Mechanism: We incorporate a feedback loop that allows users to provide corrections or feedback on generated content, facilitating continuous learning and improvement.
– Model Updating: We periodically update RAG and LLM models based on user feedback and emerging language patterns.
8. Security Measures:
– Data Encryption: We implement robust data encryption measures to secure sensitive information processed by the AI.
– Access Control: We utilize access control mechanisms to prevent unauthorized access to the AI model and Elasticsearch.
9. Scalability and Performance:
– Containerization: We leverage containerization technologies (e.g., Docker) for scalability and easy deployment across different environments.
– Load Balancing: We implement load balancing strategies to distribute AI requests efficiently.
10. User-Friendly APIs:
– API Integration: We provide user-friendly APIs for seamless integration into business applications and services.
– Documentation: We offer comprehensive documentation for developers to understand and effectively utilize the AI service.
ABN Buratino’s Generative AI service, powered by RAG, LLM, and Elasticsearch, sets new standards in honesty, accuracy, and reliability, equipping businesses with a reliable and intelligent AI assistant. Contact ABN now to lead in the AI race, and be 10X more productive.
What can Ai do for you? ABN Asia can help.
21 areas where corporations can leverage AI to outperform yourself. Make that happen with ABN Asia:
1. Customer Service: AI can automate responses to customer inquiries, reducing response times and improving customer satisfaction.
2. Cybersecurity: AI can detect and respond to security threats in real-time, enhancing the security of digital assets.
3. Fraud Management: AI can identify patterns and anomalies that indicate fraudulent activity, helping to protect businesses from financial loss.
4. Customer Relationship Management (CRM): AI can analyze customer data to provide personalized experiences and improve customer retention.
5. Digital Personal Assistants: AI can automate routine tasks, freeing up employees to focus on more complex tasks.
6. Inventory Management: AI can predict demand and optimize inventory levels, reducing costs associated with overstocking or understocking.
7. Content Production: AI can generate content for websites, social media, and other platforms, saving time and resources.
8. Product Recommendations: AI can analyze customer behavior to provide personalized product recommendations, increasing sales.
9. Accounting: AI can automate financial tasks such as invoicing and tax preparation, reducing errors and improving efficiency.
10. Supply Chain Operations: AI can optimize logistics and distribution, reducing costs and improving customer satisfaction.
11. Recruitment and Talent Sourcing: AI can streamline the hiring process by automating resume screening and interview scheduling.
12. Audience Segmentation: AI can analyze customer data to identify distinct segments, enabling more targeted marketing.
13. Cloud Cost Optimization: AI can manage capacity and optimize pricing on cloud platforms, reducing operational expenditures.
14. Chatbots and Voice Assistants: AI can provide instant messaging support to customers, improving accessibility and reducing the load on IT support representatives.
15. Predictive Maintenance: AI can predict when equipment is likely to fail, allowing for timely maintenance and reducing downtime.
16. Sales Forecasting: AI can analyze historical sales data to predict future sales trends, aiding in strategic planning.
17. Market Research: AI can analyze market trends and consumer behavior, providing valuable insights for business strategy.
18. Risk Management: AI can assess potential risks and suggest mitigation strategies, helping businesses make informed decisions.
19. Business Process Automation: AI can automate repetitive tasks, improving efficiency and productivity.
20. Data Analysis: AI can analyze large volumes of data to extract insights, supporting decision-making processes.
21. Employee Engagement: AI can analyze employee feedback and suggest actions to improve engagement and retention.
Make that happen. Contact ABN Asia please!