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Articles tagged with #python
LangChain exists as both an open-source framework and a venture-backed company. The framework, introduced in 2022 by Harrison Chase, streamlines the development of LLM-powered applications with suppor
Let's assume we are creating a 'Research Agent'. An essential capability might be the ability to access the web for up to date information that may not be part of our LLM's training data. We will achi
Despite their impressive capabilities, LLMs have inherent limitations that prevent them from functioning as fully autonomous agents. These limitations fall into three categories: temporal, interaction
To create our first AI agent, we will build upon the basic concepts we explored previously. To complete our agent, we need to complete a number of tasks: define our structured output response format
When working with the non-deterministic nature of LLMs (the same prompt will return different responses each time, due to the probabilistic nature of LLMs) traditional means of software testing are no
Let's cover some basic concepts that we will utilise in our AI agents. We start by calling through to an LLM (OpenAI) via code. Subsequently, we will introduce LiteLLM as a wrapper to access LLMs from
