In today's world, offering 24/7 customer service is essential to a business's success. However, traditional customer support team often struggles to provide timely responses, impacting the overall service experience. Additionally, high staff turnover makes it challenging to maintain a stable, experienced team, driving up training costs.
Training your own AI Customer Support Representative can help you:
Handle basic inquiries, providing customers with instant support and enhancing overall satisfaction.
Allow your internal customer support team to focus on more complex tasks that require human intervention.
Why choose APMIC:
Build your AI on-premises or on cloud—APMIC provides two environments where you can train and deploy your AI based on your needs and budget, facilitating you to quickly build your AI-driven solutions and maintain a competitive edge.
We are a certified partner in the NVIDIA ecosystem, meaning that our solution is based on the NVIDIA technology framework. We have years of experience in LLMs and have assisted 1,100+ companies participating in the AI revolution.
We earn the ISO 27001 International Information Technology Security Management Certification, hence, rest assured that your data is secured across all supports.
Train Your AI on Cloud Within 5 Steps Using No-code Platform CaiGunn
Before jumping into the steps to train your own AI, you might wonder what the differences between CaiGunn and ChatGPT are. Here is an overview of it:
Multiple large language models (LLMs) to choose from: We have integrated multiple models for you to choose from, including ChatGPT, Claude, Gemini, and TaME, completely based on your preferences and needs.
Designed for easy use: CaiGunn supports multiple file formats, allowing you to upload the files by simply drag-and-drop. The generative AI will learn and answer any questions from the imported knowledge.
Website crawlers made RAG training easy: You can also train your AI via website crawler, simply paste a link into the provided field and it will automatically feed the website data into the knowledge management system.
Ready-to-use and immediately shareable: After the training is complete, you can immediately put it to use without any other complicated settings.
Now without any further ado, let's dive right into how to train your AI on cloud with CaiGunn.
1) Think about what kind of AI assistant you want to create through our prompts
CaiGunn provides users with a rich prompts library, from which you can get inspiration for what an ideal AI technical instructor of yours looks like, we recommend you set up a goal to make it crisp and clear when training it.
If there aren't any prompts suitable to your needs, you can also write your own prompts and use the Prompt Optimization feature to improve your written prompts, making it easier for the system to understand.
2) Choose your training models
Next step, you can choose the language models, for example, ChatGPT, Claude, or Gemini. This step is essential for building the character of your AI. For example, the GPT-4o-mini is suitable for beginner conversation, it will use easy-to-comprehend language while Claude 2 is more analytical.
If the data is not too much, we recommend you use TaME, otherwise, you can consider GPT-4.
3) Start feeding your AI data
After setting up all the goals, now it is time to feed your AI data. Think of it as a newcomer in your workplace, you must provide them with onboarding documents and guide them to perform tasks when someone asks them to do. Among all the steps, this is deemed the most important step to take; without proper training, your AI instructor will not be able to accurately respond to you.
There are many formats you can use to feed data to your AI, either type in plain text, upload files (format supported: pdf, doc, text files), use website crawlers, FAQs, and so on.
Like any onboarding documents, there will be illustrated graphics, but at this stage, your AI cannot recognize three-view drawings, any illustrations, or charts of all kinds (line graphs, pie charts, straight lines, etc.,). If your file contains any of the above-mentioned content, it is recommended to remove it first so that you upload the file without any trouble. If your file doesn't have the Q&A table type, then use CaiGunn's Image-to-Text feature to convert it into plain text for feeding.
4) Test and adjust timely
After feeding your AI with data, it's time to check back on the results. If there is any new data, you can update your AI through re-feeding.
5) Share with your team after training
CaiGunn makes it easy to share your trained AI through the Public and Share feature, you can share your AI with your colleagues, newcomers, and friends.
That is it!
If you have large amounts of data that cannot be uploaded but still want an AI assistant, send us an email at support@ap-mic.com so that we can help you make a customized AI assistant.
Train Your AI On-Premises With PrivAI, Make Your Own AI Technical Instructor for Internal Use
In industries that require high levels of security, it is common for businesses to prefer training their AI systems on-site. We get it! So here is PrivAI, the on-premises AI training solution for you.
Why choose on-premises AI development?
Saves at least 800 times data processing cost.
Reduces working time from 30 days to just 1 day with the APMIC toolbox.
Ensures 90% accuracy using H100/H200 GPUs
Enables users to start the chat within 2 seconds.
PrivAI comes with multimodal generative AI architecture, providing businesses with the following advantages:
NVIDIA GPU Performance Optimization: We integrate NVIDIA hardware and NIM services, optimizing GPU performance.
Top Data Security: Since it is fully deployed on-premises, your AI services will not be connected to the internet, exposing you to no data security risks.
Multi-Modal Data Support: Efficiently processes different types of data, including text, images, and tables.
More Comprehensive and Efficient Data Processing: In addition to NVIDIA's supported formats like PDF, PPT, and PNG, we also support other file types like JPEG/TXT/DOC/CSV. We have also introduced Markitdown, enabling automated conversion of documents across multiple formats. Our image data processing has been fully upgraded to Meta Llama 3.2 Vision 11b, placing us ahead of the market in processing text in images.
Semantic Retrieval and Enhanced Ranking: We have integrated with the NVIDIA NeMo platform to provide more accurate data retrieval. Utilizing NeMo Retriever Text Embedding NIM, which is based on Meta Llama 3.2, our semantic embedding technology significantly improves the precision of information retrieval and ranking.
Content Generation: More Powerful LLM: Our content generation capabilities have been enhanced by upgrading the generative model to Llama-3.1-70b-instruct. This new model produces content that is not only more logical but also more professional, meeting the high standards required for enterprise-level applications.
Are you one of our users? If you found CaiGunn and PrivAI useful, share it with your circle!
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