No Code LLM Finetuning
Summary
This article discusses making LLM finetuning accessible to non-coders, highlighting a video demonstration of how anyone can customize LLMs without coding.
Similar Articles
How to Fine-Tune an LLM: An End-to-End Guide
This article provides a guide on fine-tuning LLMs, highlighting its benefits over RAG and system prompts with a case study where fine-tuning a Mistral 7B model improved accuracy from 35% to 98% for a medical reporting task.
@hasantoxr: Fine-tuning your own LLM is now dead simple Everyone keeps telling me they'd love to train a custom model but it's too …
Soup is a new CLI tool that simplifies LLM fine-tuning to one command, with templates for chat, code, tool-calling, and more, plus layer streaming to run on modest GPUs.
Software engineering best practices in the age of LLM coding
An article discussing how software engineering best practices are evolving with the integration of LLM-based coding tools, offering guidance for developers.
Extensible Software in the age of LLMs
The article discusses how LLMs are enabling a new era of extensible software on the web, allowing users to create personalized applications and address long-tail needs through concepts like 'Small Software' and 'LLM-native software'.
@akshay_pachaar: LLM fine-tuning techniques I'd learn if I were to customize them: Bookmark this. 1. LoRA 2. QLoRA 3. Prefix Tuning 4. A…
The tweet lists 15 LLM fine-tuning techniques and introduces ART (Agent Reinforcement Trainer), an open-source framework from OpenPipe for training multi-step agents using GRPO, with serverless RL support via W&B Training.