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- Smartspaces | Google DeepMind, Tim Draper & crazy math! | 19.02-25.02
Smartspaces | Google DeepMind, Tim Draper & crazy math! | 19.02-25.02
Boost your curiosity, learn from the best, expand your horizons.
Welcome to the 20th edition of Smartspaces!
Re-learning or diving into something new? (we have something for you :))
Hi everyone! This is Smartspaces 20th newsletter š„³
We hope weāve helped encourage you to explore a new topic, dive deep into a field of interest and generally, learn something new.
Finding new talks and events each week (+ the data from our frequent poll responses) has made us consider deliberately what kind of talks we should 1) look for and 2) share on smrtspace.xyz. What talks do you want to hear? Mostly we were considering readers in two main scenarios: 1) those who want to discover a ābrand newā topic or 2) to gain more expertise in their existing field of work/study/interest.
I came across a great blog post that made me really interested and excited about another likely segment of curious Smartspaces readers (see extensive HN discussion). In this essay, Gabe Mays shares his journey re-learning math on Math Academy.
For hard subjects like math, I always assumed the only ārealā way to learn was in dedicated environments like college since online courses were best for softer, less technical topics. This was a bummer, especially for adult students like me.
Mays, founder of an AI startup, mentions his desire to start re-learning math stems from his desire to more deeply understand the machine learning concepts heās working with (namely LLMs & transformers) that require a solid mathematical foundation.
What are the subjects that you want to go back to? Maybe an elective you took once or a hobby subject that you stopped having time forā¦
Perhaps a talk on Smartspaces can be the spark to get you back into it! āØ
What did I miss last week? (lots of AI)
Catch up with recordings of last weekās top events at your own pace!
Decode, Detect, Diagnose LLMs: User Behavior Changes & Performance Drift - with Bernease Herman āļø
Aligning LLMs with Direct Preference Optimization - with Lewis Tunstall & Edward Beeching
Fix Hallucinations in RAG Systems with Pinecone and Galileo - with Quique Lores & Roie Schwaber-Cohen
Quantum Computing in ML: Navigating Potential, Understanding Limitations - with Dr. Vicente Leyton-Ortega
Midjourney, Dall-E and The Future of AI Image Generation - with Leonard Rodman
Looking for something else? š 100s of recordings in our Full recordings database