LLM Agents course
UC Berkeley is hosting and incredible MOOC about the most trending topic right now in AI, LLM agents.
LLM Agents is a new field that is getting a lot of attention. Industry and researchers are investing a lot of money and time trying to figure out the limitations and possibilities that agents can offer. And as well as every new technologies that emerged, it can get a little hard to wrap our head around the new subjects, terms and ways to do things. That's when a course comes in handy. The disconected dots that represent tiny isolated pieces of knowledge and are scatteded can be tighten up with a structeured knowledge that comes from a great course. And Berkeley seems to be offering and interesting course that is capable to leverage that.
As mentioned by their description, the course will include the following topics:
- Foundation of LLMs
- Reasoning
- Planning, tool use
- LLM agent infrastructure
- Retrieval-augmented generation
- Code generation, data science
- Multimodal agents, robotics
- Evaluation and benchmarking on agent applications
- Privacy, safety and ethics
- Human-agent interaction, personalization, alignment
- Multi-agent collaboration
The course will attend a great variety of guest speakers, ranging from renowned companies like Google to Nvidia. It's possible to get certificates according to your dedication and engagement and there's also a hackathon that will start soon in October. And the best of all it's all for free.
Right now we are at the fourth week, and the course goes until December 2. All lectures so far were great and it was possible to acquire some new knowledge, and because of that I'll make summaries of all the lectures I'm attending a create posts about it. The link to the course is the following: https://llmagents-learning.org/f24.
I hope you can also find this course worth it and enjoy yourself!