🤖 LLMs - antidmg · Scour

Paper page - Large Language Models Explore by Latent Distilling ⚙️MLOps

huggingface.co·10h

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective ⚙️MLOps

Text Summarization with Scikit-LLM ⚙️MLOps

machinelearningmastery.com·3d

Reinforcement fine-tuning with LLM-as-a-judge 🛠️AI Dev Tools

aws.amazon.com·4h

Temporal Language Models ⚙️MLOps

calcifercomputing.com·2d·Hacker News

Higher-order effects of LLM slop ⚙️MLOps

natemeyvis.com·6h

Large Language Models Excel in Enhancing Physicians’ Clinical Reasoning Skills ⚙️MLOps

bioengineer.org·5h

How to Build Your Own Language-Specific LLM [Full Handbook] ⚙️Compilers

freecodecamp.org·6d

Adaptive Thinking: Large Language Models Know When to Think in Latent Space ⚙️MLOps

machinelearning.apple.com·2d

Why Model Collapse in LLMs is Inevitable With Self-Learning ⚙️MLOps

hackaday.com·22h·Hacker News

AmSach/kvquant: Drop-in KV cache compressor for local LLM inference - Run 70B models on 8GB RAM ⚙️MLOps

github.com·13h·DEV

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding (5 minute read) λFunctional Programming

alphaxiv.org·2d

Diagnosing protein sequence search in the era of language models ⚙️MLOps

biorxiv.org·5h

Spurious alignment between large language models and brains can emerge from non-robust methods and overlooked confounds ⚙️MLOps

How to reliably connect LLMs to real-world data and systems ⚙️MLOps

·14h

Vibe Training - Auto Train a Small Language Model for Your Use Case ⚙️MLOps

diamantai.substack.com·2d·Substack, r/LocalLLaMA

Every Model Learned by Gradient Descent Is Approximately a Kernel Machine ⚙️MLOps

news.ycombinator.com·45m·Hacker News

The Inference Economy: Token Use ⚙️MLOps

frontierai.substack.com·7h·Substack

LLMs are the worlds most powerful autocomplete ⚙️Compilers

alfredvc.no·1d·Hacker News

Fixing What LLMs Get Wrong (22 minute read) ⚙️MLOps

thebigdataguy.substack.com·4d·Substack

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