Another prompt injection paper review! This time it's "An Introduction to Google’s Approach to AI Agent Security" by Santiago Díaz, Christoph Kern, and Kara Olive
This guy is smart, will be successful, and I wish him the best of luck, but I wish more people who go viral for getting rejected from top colleges would post their personal statement because it becomes immediately obvious why they were rejected. This is an educational resource.
I don't know what to feel about this as an ex-Union banker.
While DS roles are slowly evolving to ML/ AI Engineers or ML/AI Researchers, the role they play in bridging technical and business verticals must not be underestimated.
Opening salvo from the morning panel: Pres of unionbank saying they have too many data scientists. And AI will take them out of a job.
Congrats Ed. You said it before I did.
@docligot Finally a long time coming. Hopefully, this would mean that we see more government support/ initiatives related to open data/ colelction, data privacy, and ai compute
For those that hope (or worry) that LLMs will do breakthrough scientific research, I've got good (or bad) news:
LLMs are particularly, exceedingly, marvellously ill-suited to this task. (if you're a researcher, you'll have noticed this already)
Here's why🧵
Good morning. At some point this summer, perhaps quite soon, @AIatMeta will be releasing a LLaMA-3 model with 400B parameters. It will likely be the strongest open-source LLM ever released by a wide margin.
This is a thread about how to run it locally. 🧵
Is it possible to publish as a non-MS/ PhD student associated with a research lab? Or no choice talaga but to study again?
Would research labs be open in allowing private individuals from industry help in their research in hopes of publishing as a co author?
New paper from our team, led by @pat_verga
Are you:
* Doing evaluation with LLMs?
* Using a huge model?
* Worried about self-recognition?
Try an ensemble of smaller LLMs.
Use a PoLL: less biased, faster, 7x cheaper. Works great on QA & Arena-hard evals
https://t.co/Lhvx5GN8I8
Prior to coming to the event, I had an inherent bias towards @OpenAI models for RAG applications, since that what I use at work, but after yesterday, I think I have a new bias for RAG apps.
Thanks @cohere for the amazing event! Would love to attend future events like this!
A little life update: I was one of the winners of the same-day hackathon hosted by @cohere yesterday! I presented my initial work on equipping multi-agents with multi-tools to speed up the Privacy and Ethics evaluation of AI projects. (Will share initial experiments later)
That’s a wrap on Cohere Build Day Toronto! Hosted at our HQ, attendees brainstormed, networked, and built working 27 knowledge agents in three hours. Congratulations to all of the winners! Up next, London and San Francisco!
I also had a great time meeting other builders in the GTA and learning how they use LLMs at work!
Command R+ is @cohere 's foundational model tuned specifically for RAG applications. They have made it easy for RAG-builders to incorporate citations in the bot responses