»» auto mode on · esc to interrupt · 12 posts in context
Alex Jacobs — Blog
Alex Jacobs
AI Systems Integration | Data Science | Full-Stack Development | DevOps | Bioinformatics
1# Alex Jacobs
2
3AI Systems Integration | Data Science | Full-Stack Development | DevOps | Bioinformatics
4
5<!-- ~/alex-jacobs.com · 12 posts in workspace · utf-8 · lf -->
6
7## Recent files
8- [Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification](~/posts/beatingbert/)
9- [The Case Against pgvector](~/posts/the-case-against-pgvector/)
10- [A Production Framework for LLM Feature Evaluation](~/posts/practicalaifeatures/)
11
12**[open the full workspace](~/posts/)**
Latest posts
Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification
I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.
Read(Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification)
I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.
Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification
I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.
Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification.md
2026-01-04I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.
The Case Against pgvector
What happens when you try to run pgvector in production and discover all the things the blog posts conveniently forgot to mention
Read(The Case Against pgvector)
What happens when you try to run pgvector in production and discover all the things the blog posts conveniently forgot to mention
The Case Against pgvector
What happens when you try to run pgvector in production and discover all the things the blog posts conveniently forgot to mention
The Case Against pgvector.md
2025-10-29What happens when you try to run pgvector in production and discover all the things the blog posts conveniently forgot to mention
A Production Framework for LLM Feature Evaluation
An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases
Read(A Production Framework for LLM Feature Evaluation)
An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases
A Production Framework for LLM Feature Evaluation
An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases
A Production Framework for LLM Feature Evaluation.md
2025-06-01An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases
A Computer Made This
OpenAI's 4o image generation is a step change in AI capabilities. A look at what reasoning in pixel space means for creative work.
Read(A Computer Made This)
OpenAI's 4o image generation is a step change in AI capabilities. A look at what reasoning in pixel space means for creative work.
A Computer Made This
OpenAI's 4o image generation is a step change in AI capabilities. A look at what reasoning in pixel space means for creative work.
A Computer Made This.md
2025-03-27OpenAI's 4o image generation is a step change in AI capabilities. A look at what reasoning in pixel space means for creative work.
RAG: From Context Injection to Knowledge Integration
A technical dive into the limitations of current RAG approaches, examining architectural challenges and exploring pathways to more integrated knowledge-aware LLM architectures.
Read(RAG: From Context Injection to Knowledge Integration)
A technical dive into the limitations of current RAG approaches, examining architectural challenges and exploring pathways to more integrated knowledge-aware LLM architectures.
RAG: From Context Injection to Knowledge Integration
A technical dive into the limitations of current RAG approaches, examining architectural challenges and exploring pathways to more integrated knowledge-aware LLM architectures.
RAG: From Context Injection to Knowledge Integration.md
2025-02-17A technical dive into the limitations of current RAG approaches, examining architectural challenges and exploring pathways to more integrated knowledge-aware LLM architectures.
Deep Dive into Python Async Programming
A deep dive into Python's asynchronous programming model, exploring the event loop, coroutines, tasks, futures, and the under-the-hood mechanisms that make it all work.
Read(Deep Dive into Python Async Programming)
A deep dive into Python's asynchronous programming model, exploring the event loop, coroutines, tasks, futures, and the under-the-hood mechanisms that make it all work.
Deep Dive into Python Async Programming
A deep dive into Python's asynchronous programming model, exploring the event loop, coroutines, tasks, futures, and the under-the-hood mechanisms that make it all work.
Deep Dive into Python Async Programming.md
2024-01-28A deep dive into Python's asynchronous programming model, exploring the event loop, coroutines, tasks, futures, and the under-the-hood mechanisms that make it all work.
Mastering Integration Testing with FastAPI
Integration Testing FastAPI: Harnessing the Power of Mocking Backend Services with MongoMock, MockS3, and More
Read(Mastering Integration Testing with FastAPI)
Integration Testing FastAPI: Harnessing the Power of Mocking Backend Services with MongoMock, MockS3, and More
Mastering Integration Testing with FastAPI
Integration Testing FastAPI: Harnessing the Power of Mocking Backend Services with MongoMock, MockS3, and More
Mastering Integration Testing with FastAPI.md
2023-06-11Integration Testing FastAPI: Harnessing the Power of Mocking Backend Services with MongoMock, MockS3, and More
CheeseGPT
A (Very) Simple RAG Tutorial
Read(CheeseGPT)
A (Very) Simple RAG Tutorial
CheeseGPT
A (Very) Simple RAG Tutorial
CheeseGPT.md
2023-03-14A (Very) Simple RAG Tutorial
Effective Error Handling
A simple an effective approach for handling end users who struggle with errors
Read(Effective Error Handling)
A simple an effective approach for handling end users who struggle with errors
Effective Error Handling
A simple an effective approach for handling end users who struggle with errors
Effective Error Handling.md
2022-12-14A simple an effective approach for handling end users who struggle with errors
Running Jupyter lab behind NGINX--Part 2
Part 2: Configuring Jupyter Lab authentication behind NGINX, handling token-based auth bypass, and securing the reverse proxy setup on EC2.
Read(Running Jupyter lab behind NGINX--Part 2)
Part 2: Configuring Jupyter Lab authentication behind NGINX, handling token-based auth bypass, and securing the reverse proxy setup on EC2.
Running Jupyter lab behind NGINX--Part 2
Part 2: Configuring Jupyter Lab authentication behind NGINX, handling token-based auth bypass, and securing the reverse proxy setup on EC2.
Running Jupyter lab behind NGINX--Part 2.md
2022-06-15Part 2: Configuring Jupyter Lab authentication behind NGINX, handling token-based auth bypass, and securing the reverse proxy setup on EC2.