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    <description>Notes on LLM internals, agents and AI infrastructure.</description>
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      <title>Bigger AI models aren&apos;t always better: how a 70B model beat a 280B one by reading more</title>
      <link>https://dev.to/dev_jhawar/bigger-ai-models-arent-always-better-how-a-70b-model-beat-a-280b-one-by-reading-more-2jmh</link>
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      <pubDate>Tue, 20 Oct 2026 19:02:31 GMT</pubDate>
      <description>For a few years, the way to build a better AI model was simple. Make it bigger.  Then in 2022...</description>
      <category>ai</category>
      <category>llm</category>
      <category>machinelearning</category>
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    <item>
      <title>What it actually costs to train an LLM: GPUs, days and dollars, worked out step by step</title>
      <link>https://dev.to/dev_jhawar/what-it-actually-costs-to-train-an-llm-gpus-days-and-dollars-worked-out-step-by-step-1g5j</link>
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      <pubDate>Tue, 20 Oct 2026 17:47:59 GMT</pubDate>
      <description>You&apos;ve seen the headlines. &quot;Training a big model costs tens of millions of dollars.&quot;  Okay, but why...</description>
      <category>ai</category>
      <category>llm</category>
      <category>python</category>
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      <title>Why Meta trained a small 8B model on 15 trillion tokens, and why that&apos;s cheaper than it sounds</title>
      <link>https://dev.to/dev_jhawar/why-meta-trained-a-small-8b-model-on-15-trillion-tokens-and-why-thats-cheaper-than-it-sounds-1oep</link>
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      <pubDate>Tue, 20 Oct 2026 17:47:35 GMT</pubDate>
      <description>There&apos;s a rule of thumb from a famous paper: for the best result per dollar of training, feed a model...</description>
      <category>ai</category>
      <category>llm</category>
      <category>python</category>
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      <title>The KV cache is eating your GPU. MQA and GQA are how models fight back</title>
      <link>https://dev.to/dev_jhawar/the-kv-cache-is-eating-your-gpu-mqa-and-gqa-are-how-models-fight-back-3809</link>
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      <pubDate>Tue, 20 Oct 2026 17:16:12 GMT</pubDate>
      <description>Quick recap from the last post: the KV cache saves you from recomputing old tokens, and it&apos;s the...</description>
      <category>ai</category>
      <category>python</category>
      <category>llm</category>
      <category>machinelearning</category>
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      <title>Tokenization is why your agent bill looks weird</title>
      <link>https://dev.to/dev_jhawar/tokenization-is-why-your-agent-bill-looks-weird-4n47</link>
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      <pubDate>Tue, 20 Oct 2026 17:15:47 GMT</pubDate>
      <description>Models don&apos;t read text. They read integers.  Between your string and the model there&apos;s a tokenizer,...</description>
      <category>ai</category>
      <category>python</category>
      <category>llm</category>
      <category>machinelearning</category>
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      <title>Why your agent gets slower and pricier with every tool call</title>
      <link>https://dev.to/dev_jhawar/why-your-agent-gets-slower-and-pricier-with-every-tool-call-1l6n</link>
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      <pubDate>Tue, 20 Oct 2026 17:09:05 GMT</pubDate>
      <description>Okay so here&apos;s something that bugged me for a while.  You build an agent. Step 1 feels snappy. By...</description>
      <category>ai</category>
      <category>python</category>
      <category>llm</category>
      <category>machinelearning</category>
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    <item>
      <title>Running 100 agents on a free tier (Groq 30 RPM, Tavily credits)</title>
      <link>https://dev.to/dev_jhawar/running-100-agents-on-a-free-tier-groq-30-rpm-tavily-credits-pgi</link>
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      <pubDate>Tue, 20 Oct 2026 16:27:27 GMT</pubDate>
      <description>GridMind is a spreadsheet where every cell is its own research agent. You type &quot;Stripe&quot; in a row,...</description>
      <category>ai</category>
      <category>python</category>
      <category>backend</category>
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