kgos
Re:AI Agents: Models That Do Real Work
on Thursday June 06, 2024 @12:02PM (#40599035)
LLM-Powered AI Agents unlock AI’s potential to do real work across many domains. They’ve been recently gaining widespread attention across both research and real-world applications. But while there is massive exciting potential, best practices and agentic capabilities are shifting fast.
This post covers some of the existing landscape of agents, both what’s tried and true and what’s coming next. Thus, covering some of the latest developments around concepts like (1) multi-agent frameworks and (2) longer-term memory that we’re most interested in when it comes to making AI do real work.
Why "Chat over Your Data" Is Harder Than You Think
How to Run Retrieval Augmented Generation at Planet Scale
The failure of Uber
Streamlining Your Workflow: Debugging for HHVM
Modin v0.1.0 – Unify the way you interact with your data
Re:Pandas on Ray – Early Lessons from Parallelizing Pandas
on Saturday July 07, 2018 @02:57PM (#17479911)
Code Repo: https://github.com/modin-project/modin
Re:Pandas on Ray – Make Pandas faster
on Saturday March 03, 2018 @08:23PM (#16512764)
One of the Pandas on Ray coauthors here: We're planning on releasing another post in the next few weeks discussing the technical details around group-bys. Stay tuned!
CBOE exchange website down minutes after releasing Bitcoin futures
Re:Machine Learning at Berkeley: The Bias-Variance Dilemma
on Thursday July 13, 2017 @09:21PM (#14766738)
Great post!