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kgos

45 karma · joined November 4, 2016

UC Berkeley '18
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kgos··on AI Agents: Models That Do Real Work
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.

kgos··on Pandas on Ray – Early Lessons from Parallelizing Pandas
Code Repo: https://github.com/modin-project/modin
kgos··on Pandas on Ray – Make Pandas faster
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!
kgos··on Machine Learning at Berkeley: The Bias-Variance Dilemma
Great post!