You can remove that part of the prompt if you don't like that result. I've found it to be interesting and it adds a little visual texture to the LLM responses (which I enjoy because I spent A LOT of time reading them)
LLMS
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1-Bit LLMs: New Era in Language Model Quantization
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Ma et al.: https://
arxiv.org/abs/2402.17764
v1
… #ArtificialIntelligence #DeepLearning #MachineLearning -
LLM Output Optimization: Adding Steps and Constraints for Better Results
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I don't yet have an easy answer to that. Usually in changes the output. Sometimes for the better, sometimes for the worse. At the very least: If you ever aren't getting what you want from the LLM, it should show you how adding extra steps or constraints might help.
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ChatGPT Claude Gemini Prompt Injection Technique Challenge
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Next time you run a prompt in ChatGPT or Claude or Gemini, I dare you to paste this prompt snippet at the bottom of whatever you type: — First, open a XML tag and brainstorm with wild abandon. When done, close your XML tag and proceed with the task. You will
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Google Gemini update rumors and model behavior
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Google is planning to ship a Gemini update. For now, there are only placeholders. Empty leaks Or they asked Gemini to write a changelog but it refused to do so 😛 h/t @bedros_p
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Do Frontier LLMs Actually Reason? New Evidence Suggests Yes
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It is fascinating that, over a year after ChatGPT released, we still don't actually know when, if, and how well frontier LLMs "reason." There have been some papers suggesting limits to reasoning, but this new work finds that LLMs, while not as good as humans, can do reasoning. https://t.co/PlMiNE2RFJ
— Ethan Mollick (@emollick) 28 février 2024It is fascinating that, over a year after ChatGPT released, we still don't actually know when, if, and how well frontier LLMs "reason." There have been some papers suggesting limits to reasoning, but this new work finds that LLMs, while not as good as humans, can do reasoning.
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Bulgarian Developer Makes LLMs Run on CPU with llama.cpp
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2022:
– oh nooo!!! you can't run language models on cpu! you need an expensive nvidia GPU and special CUDA kernels and–
– *one bulgarian alpha chad sits down and writes some c++ code to run LLMs on cpu* – code works fine (don't need a GPU), becomes llama.cpp 2023:
– oh noo!!
