In this enlightening blog post, I dive into the tantalizing world of ChatGPT and Large Language Models. Clarifying its operation, I unlock this enigma by comparing its mechanisms to a simple language model. However, Challenges arise due to the explosion of possible token combinations, leading to an inherent 'lossy' compression of our world's vast information. Surprisingly, even with such compression, these models can mimic human language in a compelling manner. I also investigate possible strategies to optimize this amazing technology - including zero-shot learning, one-shot learning, few-shot learning, and fine-tuning. Entering the era of prompt engineering and larger models, we're...
In this post, I cover the migration of our cocktail bot to use the newly available ChatGPT API. Prompt engineering is performed to accurately guide the bot's versatility in cocktail recommendations. A Python application is provided via GitHub for testing the chatbot. To ensure appropriateness in user inputs, a moderation system from OpenAI’s API has also been integrated. However, readers are reminded to consume the AI's cocktail suggestions responsibly and remember that it's just a machine- its advice could potentially lead to less than satisfactory results.
In a sea of ChatGPT chatter, we're stirring things up a bit with a cocktail chatbot of our own. From 'prompt engineering' to tailoring your bot for chit-chat about martinis, we've got you covered - the OpenAI playground is our bartender school! It won't just mix up your favorite cocktails, it remembers your preferences too, just like your favourite barman would. Be warned though: my fancy mixologist bot won't be held responsible for any questionable cocktails or spectacular headaches you end up with! So, pull up a barstool and let's dive right in.