Create fine-tuned models with NO-CODE for Ollama & LMStudio!
AI Summary
Summary of Video: Creating a No-Code Fine-Tuned Model with Anything LLM
- Introduction
- Presenter: Timothy Carat, founder of Implex Labs.
- Topic: No-code method for producing fine-tuned models using Anything LLM.
- Feature Availability
- Current feature available in the dockerized version, not in the desktop app yet (version 1.5.1 or higher).
- Download desktop client from anythinglm.com.
- Fine-Tuning Overview
- Allows interaction with various models (GPT, Anthropic, local LLMs) to create fine-tuned models.
- The process involves considerable costs due to GPU pricing for training.
- Fine-tuning described as difficult for non-technical users.
- Process Description
- Uses a browser-based interface of the dockerized version for demonstration.
- Setup involves checking current LLM being used and gathering relevant documents.
- Initial fine-tuning demonstrated with about 14 chat interactions.
- Fine-tuning is a cloud-based service, allowing users to keep the .ggf file for local use.
- Procedure for Fine-Tuning
- Users provide email and select a base model (currently only LLaMA 38B).
- The one-time cost for fine-tuning is $250.
- Process involves bundling data, sending to cloud, receiving a fine-tuned model in under an hour.
- Result Evaluation
- Testing the fine-tuned model showed accurate responses based on prior chats—an improvement over the untuned model.
- Combination of fine-tuning and retrieval-augmented generation (RAG) provides enhanced model performance.
- Model Management
- Instructions provided for using the fine-tuned model in both OLAMA and LM Studio.
- Emphasizes ease of integration with applications and system prompts for models.
- Conclusion
- Encourages exploration of fine-tuning for specific needs, such as integrating procedure manuals or specialized information into LLMs.
- Promotes Anything LLM as an open-source project and hints at future tutorials on local fine-tuning.