key topics to learn how llms work, all it takes is < 2 years if you have cs foundation > tokenization and embeddings
> positional embeddings (absolute, rope, alibi)
> self attention and multihead attention
> transformers
> qkv
> sampling params: temperature, top-k top-p
> kv
@theahmadosman
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Essential LLM Concepts: Tokenization, Attention, and Sampling
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DGX B300 Hardware Availability and User Adoption Trends
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here i am having a billboard in my profile about DGX B300s and then i see others getting them & posting selifes
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LMStudio Team AMA Tomorrow: Local LLM UX Leader
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very excited to be having the LMStudio team for an AMA on r/LocalLLaMA tomorrow morning imo, LMStudio has quietly set the bar for local LLM UX, especially for newcomers don't miss it, tomorrow 11am-1pm pdt
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Chinese hardware components signal integrity under high bandwidth loads
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no, because the Chinese raiders cause errors under high bandwidth loads, systems crash you need redrivers and retimers to clean up the signal each one requires stress testing and configuring solo i am not denying your experience, it's just different
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PCIe 3 Optimization Tradeoffs in AI Hardware
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at x1 pcie 3 lol you need to optimize for different things!
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GPU Setup Configuration for AI Infrastructure
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Will do. Are you specifically looking for 1 GPU or several GPUs setup? There are different software setups for the different hardware setups.
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Recording Equipment Purchase for Software and Hardware Development
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I am currently purchasing the recording equipment I need for both Software & Hardware There is a lot happening behind the scene and I think many people will be extremely happy once things roll out.
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First Iteration Agentic AI Model Disappoints on Tool Calling
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i have been disappointed in the Agentic performance of both the Instruct and Thinking variants of this model it's the 1st iteration of the architecture, and i hope the next release is kino in multi-step tool calling just wanted to share my opinion after playing with it
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Apache: The Legendary Open-Source Web Server Built on Duct Tape
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> be Apache
> free, open-source, built by sleep-deprived devs on Usenet
> config file looks like an arcane scroll
> works anyway
> rock solid
> scales to millions of requests
> named after “a patchy server” because it was literally duct-taped together
> still runs half the