This post provides an overview of how I connect my application layer to the LLM and what are some tooling I used to handle streaming responses from the LLM.
The distinction between determinism and non-determinism is often misunderstood as a measure of intelligence. In reality, it's a consequence of a system's design, influenced by a variety of factors. Truly intelligent systems require both deterministic and non-deterministic behaviors.
The landscape of Large Language Models (LLMs) is evolving rapidly, with powerful and open models being released at an unprecedented pace. As these technologies advance, so does the potential to integrate them into our existing systems. Traditionally, we've built systems with distinct layers such as the Application layer and Data Persistence layer.
I show you the various ways you can visualize data for machine learning in Elixir. I start with doing a basic scatter plot and move to more complex examples like plotting the loss curve.
I highlight the various tips and tricks to how I'm learning machine learning with elixir. I also go through the difference between python and elixir for various steps in machine learning.