See How CaiGunn/PrivAI Help Businesses Train Their Newcomers on Their First Day With AI
- APMIC
- Mar 7
- 4 min read
Updated: May 2
Traditional onboarding processes are inefficient, requiring significant manpower and time. New employees often struggle to access the information they need in real time, which affects their learning outcomes and speed of adaptation.
If this seems like you, then consider creating your own Newcomer AI Trainer can solve these problems: automate training processes, reduce labor costs and provide quick responses to new employee questions. This ensures smooth onboarding process, helping new hires quickly adapt and excel in their roles with ease!
You can train your AI on cloud or on-premises
Train Your AI on Cloud Within 5 Steps Using No-code Platform CaiGunn
Before diving into the steps to train your own AI, you might be wondering how CaiGunn differs from ChatGPT. Here’s an overview:
Multiple LLMs to Choose From – Unlike ChatGPT, CaiGunn integrates various large language models (LLMs), including ChatGPT, Claude, Gemini, and TaME, allowing you to select the best fit for your needs.
User-Friendly Design – Supports multiple file formats with a drag-and-drop upload feature. Simply import your files, and CaiGunn will learn from the content and generate relevant responses.
Effortless RAG Training with Website Crawlers – Train your AI by pasting a website link, and CaiGunn will automatically extract and integrate the data into your knowledge base.
Instant Deployment & Sharing – Once training is complete, your AI is ready to use immediately, with no additional setup required.
Now, let’s get started on training your AI in the 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 clear goal before starting training.
If there aren't any prompts suitable for your needs, you can also write your own prompts and use our 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, it is now 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 so. 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 manual, 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 can 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 manner
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 refeeding.
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. Try CaiGunn for Free.
Train Your AI On-Premises With PrivAI, Make Your Own AI Technical Instructor for Internal Use
In industries that require high levels of security, such as manufacturing, it is common for businesses to prefer training their AI systems on-site. We get it! So here is PrivAI, our on-prem AI training solution for you.
Why train your AI on-premises?
Saves at least 800 times the 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 a multimodal generative AI framework, 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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