🤖 LLMs - mjjansen · Scour

LLM (Large Language Model) 🎛️Fine-tuning

ministryoftesting.com·2d

Thoughts on Large Language Models (2023) 🎛️Fine-tuning

nikola.plejic.com·4d·Hacker News

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning 🎛️Fine-tuning

arxiv.org·11h

Understanding tokenization and consumption in LLMs 🎛️Fine-tuning

cio.com·5h

milanm/AutoGrad-Engine: A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies 🎛️Fine-tuning

github.com·1d·Hacker News

New course: Efficient Inference with SGLang: Text and Image Generation, built in partnership with LMSys @lmsysorg and RadixArk @radixark, and taught by Richard ... 🤖AI

twitter.macworks.dev

·22h

What Rebuilding GPT-2 From Scratch Taught Me About How LLMs Really Work 🎛️Fine-tuning

medium.com·3d

Writing an LLM from scratch, part 32j -- Interventions: trying to train a better model in the cloud 🎛️Fine-tuning

gilesthomas.com·20h·Hacker News

LaCy: What Small Language Models Can and Should Learn is Not Just a Question of Loss 🎛️Fine-tuning

machinelearning.apple.com·1d

Token Classification 🎛️Fine-tuning

medium.com·8h

Language Modeling in NLP: Unigram, Bigram, Trigram, Smoothing, and Perplexity 🎛️Fine-tuning

medium.com·2d

Using LLMs as Classifiers 🎛️Fine-tuning

medium.com·4d

How Does Al Actually Work ? Tokens, Prompts, Context, and RAG Explained. From Basics To Advance 🤖AI

amittsaha.medium.com·7h

Lies, damned lies, and language statistics: a comprehensive review of risks from manipulation, persuasion, and deception with large language models 🎛️Fine-tuning

link.springer.com·1d

Benchmarking LLMs with Marimo Pair 🎛️Fine-tuning

ericmjl.github.io·17h·Hacker News

Recursive Language Models - A Systematic Approach to Large-Scale Document Analysis – Part I. 🎛️Fine-tuning

constitutionaldiscourse.com·3d

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU 🎛️Fine-tuning

lemmy.ml·1d

Logistic Regression — The Full Math, Step by Step 🤖AI

medium.com·20h

Structural Transformations in Multi-Stage Dialogues with Large Language Models 🎛️Fine-tuning

zenodo.org·2d·r/LLM

Compare GPT, Claude, Gemini & Perplexity. Consensus Answer. Common Answer. Recursive Correction. PDF & Share. ✅Formal Verification

talkory.ai·21h·r/LLM

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