ChatGPT vs. Rasa

I’d definitely recommend ChatGPT to anyone as a great introduction to generative AI and as a starting point in research, writing, brainstorming, or general questions or judgement questions. It can be a great tool to use when you don’t necessarily need an accurate answer. For example, I wouldn’t let it calculate my taxes, but I’d use it to ask some general tax questions, then ask for sources and then verify by checking those sources. I also love ChatGPT for writing and questions - it’s great for emails, creating templates and outlines, and for generating spreadsheet formulas.

Incentivized

I have been using the platform for over 3 years and I have noticed a very good evolution, in an attempt to reinvent themselves. The support team is amazing, always available to work out with us in achieving the best results. About the technology, the algorithms available in the platform suits most of the cases. Being language agnostic is a very positive point for us, because some big tech platforms have little support for PT-PT language.

Incentivized

• Saves time by generating content about a specific topic very quickly
• Allows us to quickly learn information online (from various sources or even a single lengthy article) into more summed up digestible paragraphs (and even bullet points)
• Can autogenerate content on a vast amount of topics

Incentivized

• Rasa team has Top notch AI knowledge
• Greate customer support, by listening towards the clients needs.
• And building future proof solutions around client Business Requirements within dazzling timeframes

Incentivized

• Wish it had support for better slides generation. Sometimes we found ourselves using chatgpt to outline a presentation but build it ourselves or use a tool like Gamma
• Maybe a chepear $10 plan. In some countries the US dollar can be expensive and $20 goes a long way.
• I wish you could make projects with more files. They limit it. Or make the limit based on the content, not the number of files per se

Incentivized

• Rasa CALM flows and Rasa domain could be made fully independent of the Rasa training process and dynamically retrievable from e.g. a graph DB. This would make the chatbot more flexible.
• Prompt templates, or at least paths could be referenced in Rasa config. Different policies in the Rasa config could then be configured without code change to use different prompt templates
• LLM configuration should rather be part of the endpoints, than model configuration.
• Rasa Studio could support all the functionality of Rasa Pro.

Incentivized

ChatGPT is a powerful assistant. As long as you understand what it is you're looking for in its results, it can save you a lot of time due to its ability to do the heavy lifting for you. This frees your time up to enable you to concentrate on other tasks.

Incentivized

Most of the time is up. Seldom do you find a down service. It also has improved in token generation (the speed at which it prints answers) so it's usability is pretty much great all the time. Images do take a bit to generate but nothing that breaks anything. New additions like Projects, custom prompts, and some privacy settings improve experience

Incentivized

With the help of dedicated team - documentation and video resources it is relatively easier to build. We prioritized pro-code usage to begin with launch.

Incentivized

Their responses are always professional , although they delay sometimes

Rasa support has been very responsive, trying to fix any reported issues ASAP. They've also listened to many requests for improvement. The Rasa features and changelog are well documented

Incentivized

Where ChatGPT is better: ChatGPT has significantly more use cases - it's much more versatile. Some aspects of ChatGPT's user experience are better than Claude's. I prefer ChatGPT's results presentation compared to Claude's. Where Claude excels: Claude is a more skilled writer than ChatGPT. Some aspects of Claude's user experience are better than ChatGPT's. Its image, audio, and video translations are better than ChatGPT's.

Incentivized

Glean - proprietary semantic search algorithms, no backend actions integration IBM Watsonx - complicated dialogue builder, poor separation of no-code and pro-code interfaces ELMOS (agent based) - all logic in code, no dialogue logic in no-code interface possible Rasa - transparent and simple sharing of objects between no-code and pro-code interfaces. Transparent LLM usage and restrictions. Simple backend integration via Rasa SDK

Incentivized

• Positive: Speeds up research time (freeing up 1-2 hours per day)
• Positive: Provides complex content in digestible formats
• Positive: Allows us to get super granular, including asking it coding questions
• Positive: Allows us to ask learning-style questions where it can further break something down for us

Incentivized

• Reduced Human Connected Calls Per active User
• Improved Calls disposed by Voice Agent
• Reduced call wait times

Incentivized