Now there's a Deep Research for academia: SurveyX automatically writes academic surveys nearly indistinguishable from human-written ones! Research surveys, go in two steps, preparation (collect and organize papers) and writing (outline creation, writing, polishing).
MACHINE LEARNING
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Deep Learning Mastery: Expert Guide from Basics to Advanced
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Deep dive into the world of #DeepLearning with @MATLAB
! Check out our collection of expert-written articles, covering everything from basics to advanced techniques https://
spr.ly/6017LDREB -
Grok 3 vs Perplexity: Depth of Research Comparison
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Here's what we got: • Grok 3: Digs into academic papers, tech blogs, and corporate research reports. • Perplexity: Covers mainstream breakthroughs but may lack depth in cutting-edge theoretical advancements.
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Ultra-Scale Playbook: Training Large Language Models GPU Clusters
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The Ultra-Scale Playbook: Training LLMs on GPU Clusters
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Distributed Training Playbook: LLM Infrastructure Fundamentals and Benchmarks
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Excellent playbook on the intricacies of distributed training. Covers basics of LLM training infra from the very ground-up, practicals/code, and efficiency benchmarks grounded on 4100 distributed experiments. Topics covered include:
– Data parallelism
– Tensor parallelism
– More -
Psychology Research Flaws and Token Prediction Analogy
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this is a great example of how obviously silly psychology research is a lot of the time should you treat unwanted thoughts as irrelevant or dig in to them? depends highly on context a similar analogous question is: “what’s the next token in a sequence?” it’d be obviously
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Unhinged LLM fallback for content moderation annotation
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Working on self-contained ones as separate posts but a general one: I work with content moderation datasets. I often send big CSV of offensive filth to an LLM to annotate and get back refusals or quasi-refusals. Any competent "unhinged" fallback LLM saves me work.
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Can AI Discover Relativity From Early 1900s Data Alone?
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I proposed a version of this at a dinner to some high level AI (train it only on data up to the early 1900s and see if it comes up with relativity) They said there wasn’t enough data. Not sure if that applies to high school too but it might
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Fine-tuning’s Surprising Power: Knowledge Retention Through Style Change
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Wow it really has been that long 😐
The big thing I didn’t realize is that an assistant was just a finetune away. That is the surprising thing I was really missing. I still find it surprising today, that you can just change the style so dramatically but retain the knowledge. -
Three Essential LLM Books Covering Different Perspectives
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Spotted this on Amazon, and it was such a nice coincidence and spot-on recommendation that I had to share it. As someone who wrote one and read the other two, what I like about this selection is how they cover LLMs on very different levels, with basically no overlap (besides them