Finetuning

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bebechien for Google AI

Jul 7

Master Local Fine-Tuning with "gemma-trainer"

#gemma #finetuning #ai #agents

3 min read

AI Explore

Jul 6

LoRA Doesn't Approximate Fine-Tuning. It Changes What You Can Teach

#ai #llm #finetuning #lora

4 min read

Jaydeep Shah (JD)

Jul 6

My Fine-Tuned Gemma 4 Loaded Fine, Then Broke on the First Message

#edgeai #android #litertlm #finetuning

10 min read

overthelex

Jul 3

Opus + RAG vs Fine-tuned LLM + RAG: Two Approaches to Legal AI — LEX vs Harvey

#llm #finetuning #rag #claudeopus

10 min read

Basavaraj SH

Jun 25

Fine-Tuning AI Models Is No Longer Just for ML Engineers

#ai #machinelearning #productmanagement #finetuning

4 min read

Nicholas (Kosisochukwu) Ugbala

Jun 16

Fine-Tuning Llama 3.2 3B on Medical QA: Week 4 - When Lower Loss Meant a Worse Model

#ai #deeplearning #machinelearning #finetuning

7 min read

EncodeDots Technolabs

Jun 29

RAG vs Fine-Tuning: Which One Should You Actually Choose?

#rag #ai #llm #finetuning

6 min read

Tech_Nuggets

Jun 9

LoRA and QLoRA fine-tuning: what they actually do under the hood

#lora #qlora #finetuning #llm

7 min read

Tirso García

Jun 3

Operator: cuando responder no basta

#ai #llm #agents #finetuning

7 min read

Bridging the gap for modern native speakers

bebechien for Google AI

Jun 15

Turning Gemma 4 into an Old Korean Translator

#finetuning #gemma #ai

4 min read

Ismail zamareh

May 17

LLMs as Linguistic Probes: A Graduate Student's Guide to Advanced Syntax, Semantics, and Efficient Fine-Tuning

#largelanguagemodels #computationallinguistics #nlpresearch #finetuning

6 min read

Martin Tuncaydin

May 11

Fine-Tuning Open-Source LLMs on Travel Domain Data: A Practitioner's Guide to LoRA Adapters

#llm #finetuning #traveltechnology #lora

7 min read

Akhilesh

May 5

I trained my own LLM and published it on HuggingFace

#sideprojects #ai #machinelearning #finetuning

2 min read

Natnael Alemseged

May 7

DPO vs SimPO: What Your Preference Trainer Is Actually Optimizing

#ai #llm #finetuning #machinelearning

6 min read

dang phan

Jun 3

hat Makes a Good SFT Sample (And Why Most Synthetic Datasets Get It Wrong)

#machinelearning #llm #ai #finetuning

4 min read

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DEV Community

# finetuning

Master Local Fine-Tuning with "gemma-trainer"

LoRA Doesn't Approximate Fine-Tuning. It Changes What You Can Teach

My Fine-Tuned Gemma 4 Loaded Fine, Then Broke on the First Message

Opus + RAG vs Fine-tuned LLM + RAG: Two Approaches to Legal AI — LEX vs Harvey

Fine-Tuning AI Models Is No Longer Just for ML Engineers

Fine-Tuning Llama 3.2 3B on Medical QA: Week 4 - When Lower Loss Meant a Worse Model

RAG vs Fine-Tuning: Which One Should You Actually Choose?

LoRA and QLoRA fine-tuning: what they actually do under the hood

Operator: cuando responder no basta

Turning Gemma 4 into an Old Korean Translator

LLMs as Linguistic Probes: A Graduate Student's Guide to Advanced Syntax, Semantics, and Efficient Fine-Tuning

Fine-Tuning Open-Source LLMs on Travel Domain Data: A Practitioner's Guide to LoRA Adapters

I trained my own LLM and published it on HuggingFace

DPO vs SimPO: What Your Preference Trainer Is Actually Optimizing

hat Makes a Good SFT Sample (And Why Most Synthetic Datasets Get It Wrong)