Not so much to cover this week. What you find in this post is a couple of links to posts about building customised chatbots based on GPT-4. There is also an interesting link to how to use Kafka and FastAPI to develop a realtime ticketing booking solution.
- Building Customized Chatbots for the Web Using GPT-4. This post begins with an introduction to the basics of natural language processing and GPT-4, followed by an overview of chatbot development. The post then provides a step-by-step guide on how to build a chatbot using GPT-4, including data preparation, training the model, and deploying the chatbot.
- KafkaGPT - Chat with Confluent’s documentation to quickly get the right answers to your Kafka and Confluent Cloud questions.. This post is similar to the one above. The post looks at creating a ChatGPT like application over the Kafka documentation. The app scans docs.confluent.io, stores them in a vectorstore and uses LLM chaining (with LangChain OSS). This allows chatting with the docs. Very cool!
- Building a realtime ticket booking solution with Kafka, FastAPI, and Ably. This post shows you how to build a ticket booking solution that allows you to process and distribute large quantities of ticket data for live, virtual or hybrid conferences to and from many customers - with reliability and speed. All this using Kafka, FastAPI, and Ably. I found this post very interesting!
WIND (What Is Niels Doing)
Last week I published the second post in the Develop a Real-Time Leaderboard Using Kafka and Azure Data Explorer series. I am now busy writing the next instalment in the series.
That’s all for this week. I hope you enjoy what I did put together. Please comment on this post or ping me if you have ideas for what to cover.
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