Chat With RTX is a demo app that lets you personalize a GPT large language model (LLM) connected to your own content—docs, notes, videos, or other data.
Leveraging retrieval-augmented generation (RAG), TensorRT-LLM, and RTX acceleration, you can query a custom chatbot to quickly…
📝 we just launched a small experiment for memory on ChatGPT.
how it works
- it's quite similar to custom instructions, except chatgpt is the one driving it (like auto vs. stick shift!)
- basically, we taught chatgpt to keep a notepad for itself. every time you share information…
📝 we just launched a small experiment for memory on ChatGPT.
how it works
- it's quite similar to custom instructions, except chatgpt is the one driving it (like auto vs. stick shift!)
- basically, we taught chatgpt to keep a notepad for itself. every time you share information…
People make writing prompts very hard, assuming you need all sorts of special prompts and formatting.
But look at the (apparent) system prompt written by OpenAI for how ChatGPT should generate images - just straight up prose instructions like to a human, no fancy tricks at all.
Searching google and stackoverflow -> 30-45 minute rabbit hole
Asking chatgpt -> 2minute tailored answer
This is what they mean when they say "productivity" boost
You can now bring GPTs into any conversation in ChatGPT - simply type @ and select the GPT.
This allows you to add relevant GPTs with the full context of the conversation.
Corrected Retrieval Augmented Generation
One of the biggest problems with RAG is that the retrieval step can often go wrong.
The reason is that, given a query, it depends heavily on the relevance of the docs in the local corpus.
Corrective Retrieval Augmented Generation…
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