In a previous post we explored the idea of using large language models (LLMs) to query structured datasets such as structured data files and databases. We introduced the Sketch library which integrates with Python and can be used in a Notebook to query large datasets. Sketch methods can be used for directly asking questions in…
Upcoming earnings of stocks can be used for analysis of market trends and if combined with other indicators it can provide a unique opportunity for exploiting these trends.
With the arrival of large language models (LLM), it has become quite commonplace to ask questions of unstructured long-form content which is present in documents in a multitude of formats. This can be done using commercial LLMs deployed via API endpoints (most famous being GPT by OpenAI) or recently by deploying open source LLMs (Llama2…
The recent rise of open-source large language models (LLMs) is a welcome development for the field. Open LLMs have been around for some time now but with Facebook’s announcement of Llama 2 there has been lot of enthusiasm in the developer community. Llama 2 has three models of parameter size 7B, 30B, and 70B and…