Best practices for your ChatGPT ‘on your data’ solution
Learn how to implement design patterns to retrieve the most relevant context and generate a correct answer.
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How do ChatGPT plugins (and similar LLM concepts) work?
The growing popularity of OpenAI’s ChatGPT has inspired efforts to overcome its limitations and enhance the potential of large language models (LLMs) for new use cases. But how does this work?
Read more →How to create a private ChatGPT with your own data
With the rise of Large Language Models (LLMs) like ChatGPT and GPT-4, many are asking if it’s possible to train a private ChatGPT with their corporate data. But is this feasible? Can such language models offer these capabilities?
Read more →Reverse engineering the PostNL consumer API
While I was automating my home using HomeAssistant, I thought it would be cool to show my incoming deliveries. Even though PostNL (Dutch postal service) offers a portal that enables you to track the delivery of your letters and packages, they don’t offer a public API. Now what? Let’s start digging.
Read more →Online roosterbord 'hacken'!
Digitale inbraken waarbij persoonlijk informatie wordt buitgemaakt, het nieuws staat er tegenwoordig vol mee. Veel bedrijven / instellingen denken ‘ons overkomt dit niet’, maar door kleine fouten komt er vaak gevoelige informatie op straat te liggen.
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