What about Flux.1 on Perplexity vs Flux on Grok?
LLMS
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SmolLM 360M: Instant Lightweight Language Model Browser Demo
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Sharing one demo which is blowing my mind, the new instant SmolLM 360M running live in your browser: https://
huggingface.co/spaces/Hugging
FaceTB/instant-smollm
… And find more info here: https://
huggingface.co/collections/Hu
ggingFaceTB/smollm-6695016cad7167254ce15966
… And here: -
Synthetic Data and Small Language Models Journey
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It’s Sunday morning we have some time with the coffee so let me tell you about some of our recent surprising journey in synthetic data and small language models. This post is prompted by the coming release of an instant, in-browser model called SmolLM360 (link at the end) The
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Guidelines for a ChatGPT Prompt Generator Tool
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5. Make ChatGPT Prompt Generator "Develop a set of guidelines for creating a ChatGPT prompt generator tool. Define the tool's functionality, user input requirements, and the logic needed to generate effective prompts for various applications."
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Human-centered LLMs: designing language models for human values
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@Diyi_Yang on "Human-centered LLMs"
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Command R Plus demonstrates multilingual conversational capabilities
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command-r-plus being nice to me (in multilingual mode)
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Claude 3.5 Sonnet vs GPT-4: Context Window Accuracy Improvements
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I'd have to disagree with Gary. There has been significant improvement in the ability to attend to tokens in context, resulting in fewer missed instructions and facts. For instance, Claude 3.5 Sonnet appears to capture every detail, whereas GPT-4 often overlooks numerous
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LLMs and Information Access: A Fundamental Mismatch
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There's a fundamental, irreconcilable mismatch between LLMs (synthetic text) and information access. More here:
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LLM Output Errors: Accuracy by Chance Not Design
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See, I think that disclaimer is actually misleading. Computer systems don't make mistakes, the output errors. On top of that, if string output by an LLM (once read by a person) evaluates to something accurate, that is by chance.
