OpenAI's new offerings are game-changers in the AI field, with personalized ChatGPT variants (GPTs), a developer-friendly Assistance API, GPT-4 Turbo with enhanced capabilities, and novel voice and vision modalities. These innovations, bolstered by a strategic partnership with Microsoft, pave the way towards sophisticated AI agents and a future brimming with untapped human potential.
In this blog post, I detail how I've made significant improvements to my long-time blog by integrating advanced AI tools. Using OpenAI's ChatGPT, I've successfully automated the tagging of my articles and generating precise summaries for each, enhancing my blog's navigability and readability. I also discuss how I used AI to generate related content, making my blog more engaging and interconnected. To top it off, I hint at an upcoming feature: AI-created images to beautify my blog posts!
We've seen two major shifts in technology trends with websites and mobile apps - now there's a third one rearing its head. OpenAI's ChatGPT with plugins is on the cards and you better be ready for it. In the midst of fumbling for answers to whether we need these plugins or not, let me reassure you that it's not too complex. Far from requiring a squad of specialist developers, all you need to know is how to make an API to create a plugin for ChatGPT. Yes, there are potential pitfalls around security and data protection, but with the right...
Exploring the capabilities of ChatGPT, particularly GPT-4, I exposed a shortcoming regarding the model's ability to remember or store information it has 'thought' about during a dialogue sequence. Probing deeper, I developed an experimental system named ChatGPT Memory to input detailed information into the system like 'dreams', 'goals', 'inner dialogue' and more. While this method doesn't make the AI truly sentient, it definitely pushes the envelope and leads to interesting outputs. Although there are limitations, especially when handling more complex tasks, the enhancements present an exciting prospect for future iterations of the model.
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.
Strap yourselves in, folks, we're in for a wild ride! ChatGPT's new API has reignited my excitement for Large Language Models, just like the start of the dot com boom. With the pricing now 10 times cheaper, a flurry of creative and previously unthinkable use cases is within our grasp. Despite earlier doubts, I now believe we're scaling the peak of inflated expectations. Can't wait to see the innovative applications that will spring from this!
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.