ChatGPT is an artificial intelligence (AI) chatbot developed by OpenAI. It is built on top of OpenAI's GPT-3.5 and GPT-4 families of large language models (LLMs) and has been fine-tuned using both supervised and reinforcement learning techniques.
As an AI language model, ChatGPT is capable of performing a variety of tasks like language translation, writing songs, answering research questions, and even generating computer code. With its impressive abilities, ChatGPT has quickly become a popular tool for various applications, from chatbots to content creation. But despite its advanced capabilities, ChatGPT is not able to access your personal data. So we need to build a custom ChatGPT AI by using LangChain Framework:
Below are the steps to build a custom ChatGPT:
Step 1: Load the document
Step 2: Splitting the document into chunks
Step 3: Use Embedding against Chunks Data and convert to vectors
Step 4: Save data to the Vector database
Step 5: Take data (question) from the user and get the embedding
Step 6: Connect to VectorDB and do a semantic search
Step 7: Retrieve relevant responses based on user queries and send them to LLM(ChatGPT)
Step 8: Get an answer from LLM and send it back to the user
With rapid evolution of Generative AI, to embrace it and help us improve productivity is a must. Let's discuss and embrace the ideas of how we can leverage Generative AI to improve our routine work.
After seeing several article raving about how ground-breaking the recent release of ChatGPT is, I thought I would try asking it to help with a Caché newbie question: How do you find the version of InterSystems Caché?
To be honest, I was quite surprised at what the chat bot told me:
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