Domain Specific Training and Fine Tuning of an LLM
Over the last few months, I have been working on an article series that shows how to teach a local llm a new domain. The project spans the entire life cycle from continued...
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Creating Evals to Validate LLM Training
In a previous article I showed how to teach a local model a new domain through a combination of llm training and RAG. In this article I will discuss my strategy for defining...
Read articleCombining RAG with Continued Pretraining of LLMs
In a previous article I did a comparison between RAG and Continued Pretraining (CPT) from a performance perspective. Even though the experiments showed that CPT has a clear...
Read articleComparing RAG and Continued Pretraining of LLMs
In a previous article I showed how to teach a local model a new domain through continued pretraining (CPT). Specifically, I trained the model to act as a travel advisor,...
Read articleTeaching a Local LLM a New Domain
As an interesting experiment I wanted to learn how to teach a tiny local llm a new domain by doing Continued Pretraining (CPT) on domain specific data. This article is a...
Read articleUsing Logistic Regression to Categorize Questions
In a previous article I showed how to fine-tune a local llm to categorize questions into a set of known categories. The use case a is chatbot I am working on where the...
Read articleFine Tuning a Local LLM to Categorize Questions
As a fun personal project, I have been working on a chatbot for answering general questions about my household on anything from maintenance questions to doctor’s appointments....
Read articleCreating a Chatbot Using a Local LLM
In this blog post I will show how I used a local LLM to create a chatbot that can be used to do a first-person interview with a random person based on their Wikipedia page. As...
Read articleUsing A2A with Multiple Agents
In this post I will share a simple demo project where I integrated multiple external agents over A2A in a chatbot.
Read articleExperimenting with A2A
Google just announced a new interoperability protocol for AI agents called Agent 2 Agent (A2A). In this post I will share some of my learnings from playing with some of the...
Read articleUsing MCP Servers with Local LLMs
In this article I will show how to create a model context protocol (MCP) server and integrate it with a local LLM to implement a multi-step tool calling workflow.
Read articleUsing Lang Graph with Local LLMs
In this article I will show how to use LangGraph to create an AI agent that works with multiple local LLMs. Through a simple example I will implement a news agent that loads a...
Read articleLLMs and Card Games
In a previous article I wrote about an experiment where I trained a neural network to play a card game. As a follow up to this project, I figured it would be fun to see if I...
Read articleUsing LLMs and tool calling to extract structured data from documents
In this article I will show how to use a local LLM with RAG and tool calling to extract structured data from a document. My first example will show how to use tool calling to...
Read articleMachine Learning and Card Games
In the following blog post I will show how to use machine learning to teach a computer to play cards. The game used for these experiments is called “Palace”, but some of you...
Read articleClassifying Traffic Signs
In the following blog post I will show how to create a neural network for classifying various traffic signs.
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