llama3 VS quix-streams

Now, let's start building the next part of the chatbot. In this part, we will be using the LLM from Ollama and integrating it with the chatbot. More particularly, we will be using the Llama-3 model. Llama-3 is Meta's latest and most advanced open-source large language model (LLM). It is the successor to the previous Llama 2 model and represents a significant improvement in performance across a variety of benchmarks and tasks. Llama 3 comes in two main versions - an 8 billion parameter model and a 70 billion parameter model. Llama 3 supports longer context lengths of up to 8,000 tokens.

What is fascinating is how the smaller 8B version outperformed the bigger previus-gen 70B model in every benchmark listed on the model card:

Airflow for Streaming

Debezium is a change data capture framework for streaming. Connect it to your databases to detect changes and produce those change events to Kafka. Quix Streams is a Python stream processing library for ML and AI applications. It builds on the Confluent Python library to add a state store with RocksDB and adds a Streaming DataFrames API with declarative operations like Windows. It is designed for analytics and data engineering workloads. Use it together with Debezium to process your CDC data in real-time.