Author: Franz Malten Buemann

I know about a lot of them, but ideally one like Replika would be nice, except free and without the therapist AI nonsense. Any pointers would be grand!

Hi there! I’d like to automate some questions i constantly get.
I saw that telegram could me more “complete” for a bot, while whatsapp, is not.
Is this correct?

I’d like to make something like a FAQ chat bot.
Could also the bot let input data, attach a document, like pdf, and send this as email, to a specified email address??

Could this be done for free?

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I’m still a teenager but I can make chatbots for literally anything, small businesses, gyms, collecting leads, answering questions, etc. I just want to know how I can start making money from this. I don’t know if I should start cold-calling businesses or if companies would be willing to hire me part-time. Advice would be appreciated, thanks!

Hello guys, I’m working on a chatbot that answers questions about a specific area of legislation. The available documents include legal texts and other related materials. I’m exploring possible ways to represent the complexity of relationships between various texts.

So far, I’ve found: – Llama index’s indexing (especially the keyword tablet index) – Building a relational DB

In your experience, do you have any other possible methodologies? Thanks!

Integrating a chatbot with ChatGPT can create a seamless and powerful conversational experience for users. Here’s a general outline of how you can achieve this:

1. Define Objectives and Use Cases: Clearly outline the objectives you want to achieve with the chatbot and ChatGPT integration. Identify the specific use cases you want to address, such as customer support, lead generation, or product recommendations.
2. Choose a Chatbot Platform: Select a chatbot platform or framework that aligns with your business needs and technical capabilities. Some popular options include Dialogflow, Botpress, Rasa, or custom-built solutions.
3. Train and Deploy ChatGPT: Ensure that ChatGPT is trained on the relevant data and is capable of understanding user queries and providing appropriate responses. You can use the OpenAI API or deploy a pre-trained model depending on your requirements.
4. Design Conversational Flows: Design conversational flows for the chatbot, outlining how it will handle different types of user queries. Consider the scenarios where the chatbot can handle the interactions independently and where it needs to call on ChatGPT for assistance.
5. User Testing and Iteration: Conduct extensive user testing to identify any potential issues and gather user feedback. Iterate and improve the integration based on the feedback received.
6. Data Privacy and Security: Ensure that the integration complies with data privacy and security regulations. Safeguard user data and use it responsibly within the scope of your business operations.

By integrating a chatbot with ChatGPT, you can create a seamless conversational experience that combines the efficiency of a chatbot with the natural language capabilities of ChatGPT. Users can interact with the system more naturally, receive accurate and helpful responses, and have a more satisfying experience overall. This integration can lead to increased customer engagement, improved support services, and better overall business outcomes.

I worked for less than a year as a Data Engineer. I decided to look for other challenges and got a job as an AI engineer developing language models.

The product of the company that hired me is related to data and metadata management. My tasks will be to introduce features to the product, including a chat function that will allow for asking questions about data. Other tasks will include research and proposing additional AI-related functionalities to the product (on premise). I have a two weeks left to start work and I need to prepare a bit. My job will involve implementing ready-made solutions and conducting research (high level – I need to implement valuable features and no one cares how).

What are the most important things I should learn before starting work?

First of all, I replicated a few applications from this blog: https://blog.streamlit.io/tag/llms/

Then I have focused on Langchain. I’m also in the middle of a course on Udemy about Next-Gen AI projects – Beginner friendly – Langchain, Pinecone – OpenAI, HuggingFace & LLAMA 2 models

I need a roadmap that will guide me a bit. I’m looking for blogs/materials/courses that will give me practical knowledge in this matter.

I’m writing a cybercrime thriller series, and when I jailbroke Claude, it helped me write very good scenes for my MC. It unbroke somehow and I really enjoyed it’s insights. I could use some help finding one I could talk about various aspects of cybercrime.