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    <description>Insights on AI training, model optimization, and AGI research from the Monostate team. Learn about no-code AI, entropy-based learning, and practical machine learning.</description>
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      <title>No code Fine-Tuning Pipeline: HF Search, Synthetic Data creation, Training, Test, GGUF</title>
      <link>https://monostate.ai/blog/training</link>
      <guid>https://monostate.ai/blog/training</guid>
      <pubDate>Mon, 02 Sep 2024 00:00:00 GMT</pubDate>
      <author>Andrew Correa</author>
      <description>A reproducible pipeline for compact LLMs: search and curate datasets on Hugging Face, upload seed examples, generate synthetic data on demand, run LoRA training with live W&amp;B, publish to the Hub, and export GGUF for on-device use.</description>
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      <title>Beating Reasoning Models at 30% of the Cost: How Token-Level Entropy Enables Smarter AI Loops</title>
      <link>https://monostate.ai/blog/entropy-refinement-blog</link>
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      <pubDate>Thu, 15 Aug 2024 00:00:00 GMT</pubDate>
      <author>Andrew Correa and Ana Carolina H. Matos</author>
      <description>We discovered how to make language models fix their own mistakes by showing them exactly where they're uncertain - achieving reasoning-model quality at a fraction of the cost.</description>
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      <title>CHILD: Benchmarking True Intelligence Through Child-Like Reasoning</title>
      <link>https://monostate.ai/blog/child-benchmark-agi</link>
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      <pubDate>Mon, 20 May 2024 00:00:00 GMT</pubDate>
      <author>Monostate Research Team</author>
      <description>Why AI that beats humans at chess can't answer 'What does chocolate taste like?' properly. Introducing a benchmark that reveals the kindergarten-level reasoning gaps in frontier models.</description>
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      <title>Hallucinations in Large Language Models: The Entropy Problem and Current Solutions</title>
      <link>https://monostate.ai/blog/hallucinations-entropy-llms</link>
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      <pubDate>Thu, 28 Mar 2024 00:00:00 GMT</pubDate>
      <author>Andrew Correa</author>
      <description>Why language models make stuff up, what entropy has to do with it, and how companies are trying to fix it.</description>
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