From full creative freedom to strict fact matching, organizations can design chatbots that meet their specific risk tolerance and communication needs. The key is choosing an approach that serves the user while protecting the brand.
With a review like that, how can you not be interested? If you’re looking for memes about AI Engineering, working with Large Language Models, or the recent AI Engineer Summit, read on!
Holy shit its done!! Check it out on Github here Getting to this point was a ton of work and I am so glad that it’s at point of minimum viability for release. In this post I want to go through some of the struggles, the triumphs, and what is next for the project. 🪦 The Struggles 🪦 A few things were much, much more difficult than I anticipated. In no particular order, they were:
A big reason why I am researching AI Agents so much is I want to try my hand at building a software development agent of my own named Taylor. The overall goal is for Taylor to be a fully autonomous AI-powered junior developer who can be a genuine asset on a development team. I want to take this idea as far as I can on my own, and use the finished product in future projects to augment my own capabilities.
VOYAGER from NVidia shows a novel way of using GPT-4 to create an agent that plays minecraft via API. Their approach is very agentic and mirrors other development agents like gpt-engineer and smol-developer. In this post, we’re going to break down Voyager’s action loop and analyze the fine details of how this agent works. Many autonomous agents can complete two or three tasks in a row, but VOYAGER from a team led by NVIDIA, showed ability to consistently perform over 150.
With all the hype about “AI automating your job away,” there is a lot of talk about the “what” but not the “how.” Agents are today’s best shot at getting an AI to do useful work for you, and in this series I want to go over the latest advances in the open-source AI agents space, domain by domain. What are AI Agents? Simply put, an AI agent is a foundational model (like GPT 4 or Llama 2) that has been specially prompted with a task to complete, a set of human-designed tools to complete it with, and can execute prompts multiple times to generate a solution.