Tech
I did two things today. First, I got a Youtube summarizer to work. I followed a simple tutorial here. I will create an agent tool out of this, and also try and build a RAG process around it. Second, I watched this lecture on “The Future of AI from the
Tech
I had very little time today, but gave a quick glance to the custom tool tutorial for CrewAI. I basically want to figure out how to create my own Youtube video summary tool, since the default Youtube loader with CrewAI doesn’t work reliably well. (Or I can’t figure
Tech
Apple will be introducing large language models to their devices later this year. They have a high-level write-up here on the technical bits of how they got to where they are. The post includes detail on how they conducted pre-training, post-training, optimization, and dynamic model adaptation. Some key bits I
Tech
Building and running AI agents is a messy process. I completed a draft crew of agents that can take a product name and provide summary of Youtube reviews. You can see a sample output below. The first image is my terminal command, with the agents running. Below is the final
Tech
Today was another day of AI reading as I was travelling a bunch. looked over the arguments for when to use retrieval-augmented generation (RAG) and when to fine-tune large language models. Both approaches have pros and cons but using them both can render some weaknesses irrelevant while not necessarily solving
Tech
I’m travelling today, so no code. On days of no-code, I read about AI. The topic today: what does a Machine Learning Engineer (MLE) do at work? Hacker News has an insightful thread about this with comments from people in the industry who are MLEs. Below are a few
Tech
I’ve been using large language modes to help me write code for the last 18 months. I’ve created apps, scraped data from websites, transcribed podcasts, amongst other things. A few years ago, this work would take me months of learning and effort. But LLMs have been a gamechanger.
Tech
Today I continued working on the Youtube review agent app project idea but I’m having issues with some of CrewAI tools. Once I resolve this I’ll have a better update.
Tech
I watched this critical video of the CrewAI agent framework (as well as other frameworks like AutoGen) and I’m now rethinking a few design ideas on how to use agents. The main issues are that these frameworks can be slow, expensive, and inconsistent. These issues will eventually be resolved
Tech
Today, I continued testing my crew of agents that will find and summarise product reviews. I probably won’t have anything publicly ready until the weekend. Meanwhile I came across this interesting article about how deep learning is being used to predict the weather. Traditional systems in use today rely
Tech
Today I started work on a crew of LLM agents that will search the internet and YouTube for reviews about products. For example, if I was planning to buy a pair of noise cancelling headphones, I would search YouTube for product reviews. With AI agents, I can automate this process
Tech
I’m completely “coursed out”! Over the last 2 and a bit months I finished 7 online courses: * IBM Machine Learning Professional Certificate (Started on Day 1, finished on Day 17) * AI for Everyone (Started on Day 28, finished on Day 33) * Python for Data Science, AI & Development (Started