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⚙️ LLM Fine-tuning
LoRA, PEFT, Model Training, Transfer Learning
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83039
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LLM-Inspired
Pretrain-Then-Finetune
for Small-Data, Large-Scale Optimization
arxiv.org
·
17h
💬
Prompt Engineering
**Fine-Tuning LLMs: A
Tale
of Two
Approaches
**
dev.to
·
1d
·
Discuss:
DEV
💬
Prompt Engineering
Mappa
– Fine-tune ANY multi-agent LLM systems end-to-end with AI
coaches
news.ycombinator.com
·
3h
·
Discuss:
Hacker News
🤖
Agentic AI
The Blessing of
Dimensionality
in LLM Fine-tuning: A
Variance-Curvature
Perspective
arxiv.org
·
1d
💬
Prompt Engineering
Optimized
LLM Inference
Engines
rishirajacharya.com
·
7h
🦙
Ollama
7 Advanced Feature Engineering
Tricks
Using LLM
Embeddings
machinelearningmastery.com
·
1d
🔍
RAG
LLM Fine-tuning Providers. Customize Large Language Models on… | by
Xin
Cheng
| Feb, 2026
billtcheng2013.medium.com
·
2d
🦙
Ollama
Information
Retrieval
Part 2: How To Get Into Model Training Data
searchenginejournal.com
·
8h
🤖
Transformers
Building Production-Ready LLM Apps: Architecture,
Pitfalls
, and Best
Practices
dev.to
·
10h
·
Discuss:
DEV
💬
Prompt Engineering
I built a free
ML
practice
platform - would love your feedback [P]
reddit.com
·
13h
·
Discuss:
r/MachineLearning
💬
Prompt Engineering
Training a Small Language Model
elijahpotter.dev
·
1d
💬
Prompt Engineering
Writing an LLM from scratch, part
32a
-- Interventions: training a
baseline
model
gilesthomas.com
·
20h
·
Discuss:
Hacker News
💬
Prompt Engineering
Training and
Tuning
models is the new
modeling
maxim.usindic.us
·
1d
🤖
Transformers
LLM Evaluation Achieves 90% Accuracy With New
Define-Test-Diagnose-Fix
Workflow
quantumzeitgeist.com
·
3d
💬
Prompt Engineering
When less is more: why small language models
deserve
a
bigger
role in enterprise AI
aijourn.com
·
13h
🦙
Ollama
Training Design for Text-to-Image Models:
Lessons
from
Ablations
huggingface.co
·
1d
🤖
Transformers
suzgunmirac/belief-in-the-machine
: Belief in the Machine: Investigating
Epistemological
Blind Spots of Language Models
github.com
·
11h
💬
Prompt Engineering
**Abstract:** This paper introduces a novel methodology for improving the reasoning
capabilities
of large language models (LLMs) via Chain-of-Thought (
CoT
) p...
freederia.com
·
5h
💬
Prompt Engineering
How
Grab
Built a Vision LLM to
Scan
Images
blog.bytebytego.com
·
1d
🔍
RAG
Sequential Attention: Making AI models
leaner
and faster without
sacrificing
accuracy
research.google
·
6h
🤖
Transformers
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