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LLMS
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Community Builds Computer Vision Course with Certification
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Our awesome community has built a course on computer vision Start learning at https://
huggingface.co/learn Make a submission to get certified -
Testing LLM Capabilities Through Experimental Prompting Methods
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Lesrning about an LLM through experimentwlly prompting it makes sense – the mistake people frequently make is asking it direct questions like "what's your context length" or what architecture do you use" and then believing what it tells them
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Beta Model Holds Special Place in Our Hearts
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The Beta model will always have a special place in our heart
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GPT-2 Positioned as Ultimate GPT-5 Alternative Solution
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GPT-2 is the GPT-5 you were waiting for and all you ever need.
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Contributing to LLM Apps Repository
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Thanks for sharing Ryan!
Happy to have you contribute to the awesome llm apps repo: -
Share and contribute to awesome LLM repository
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You’re very welcome Kiran. Feel free to share it, build on-top and contribute back to the awesome llm repo!
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LLM Tips and Tutorials for Sharing
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If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.
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LLMs Structured Output as Postel’s Law Implementation
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LLMs that implement constrained sampling/schema respecting structured output seem the ultimate implementation of Postel's Law: "Be conservative in what you send, be liberal in what you accept." Basically the ultimate interface block between systems.
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LMSYS Allows Anonymous Model Testing for Unreleased AI Models
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From the LMSYS site: "Model providers can test their unreleased models anonymously, meaning the models' names will be anonymized." I interpret that as covering both battle mode and direct chat mode