Artificial Intelligence (AI) has evolved rapidly over the last few years. From single-task large language models (LLMs) to entire systems of autonomous agents, the AI ecosystem is now enabling new classes of intelligent workflows. In this blog post, we’ll build a multi-agent AI assistant that takes in a resume profile, a resume document, and a job description link, then produces a tailored resume and interview questions. We’ll explore how to do this using CrewAI, a Python-based multi-agent framework, and run it against both local models via OLLAMA and remote LLMs like OpenAI’s API.
Category Archives: Large Language Models (LLMs)
Unlocking the Power of LLMs with LangChain
As an AI and software professional, you’ve likely heard the buzz around large language models (LLMs) like GPT-3, ChatGPT, and their growing capabilities. These powerful models can handle a wide range of natural language tasks, from text generation to question answering. However, effectively leveraging LLMs in your own applications can be a complex challenge. That’s where LangChain comes in.