Vector databases have been on the rise as a long term storage option for large language models. Beyond the common use cases, there are some interesting use cases for vector based representations and vector databases as a their search engine.

If you work in bursts of high efficiency followed by breaks, you could be a momentum worker. Outside of nine to five schedules, I propose the idea of momentum based working and how it fits in with many jobs.

Use this LaTex template for an efficient and up-to-date thesis. It comes with best practices, modern packages with little custom tricks to make it easy to extend.

The rise of large language models have created demand for a different type of databases. Instead of data, we are now interested in storing and searching vectors.

Large language models are getting more accessible every day with reduced resource requirements and easy to use wrapper libraries. Langchain is one of the leading ones to get started with Python and language models.

Throwing huge amounts of data into a very large neural network and then trying to remove information is like finding a needle in a black whole. We need a simple and effective way to address training data collection.

OpenAI has released its latest large language model, GPT 4. This is its explanation of what it is.

ChatGPT and Bing Chat are becoming increasingly popular, but it will not be long before people start asking whether it is legal to scrape and commercialise their data.

Microsoft has struck first in an ongoing AI arms race by integrating the latest generative language model ChatGPT into their search engine Bing. First impressions look very good.

Installing dependencies on base images that GitHub actions offers can be clumsy and time consuming. Most build tools and environments come with official Docker images that we can directly utilise.