It’s been 18 months running Trelis Research, and time for an update to explain how content is organised and plans for going forward.
Let me know in the comments any feedback on the content directions I propose.
Cheers, Ronan
Trelis.com
Trelis Research: Channel Organization and Future Plans
Note: Find all links on Trelis.com
Trelis Research provides AI tutorials and tools across five main categories: fine-tuning, inference, vision, audio, and evaluations. Each category has dedicated playlists and GitHub repositories containing implementation code.
Content Categories
**Fine-tuning**
- Data preparation and model training for LLMs like LLlama and Qwen
- Embedding model fine-tuning for retrieval/RAG
- Support for single-GPU and multi-GPU approaches
- Techniques: ORPO, DPO, quantization (8-bit focus)
**Inference**
- Server setup guides for RunPod, Vast.ai, EC2
- API optimization techniques
- Context caching and predictions for cost/speed improvements
- Privacy and security implementations
- DSPY prompting framework integration
**Vision**
- Diffusion models (Flux) for text-to-image
- Multimodal models (Qwen VL, LLlama 3.2 Vision, Pixtral)
- Edge device models (Florence 2) for detection tasks
- Data preparation tools for bounding boxes and region detection
**Audio**
- Speech-to-text with Whisper models
- Text-to-speech implementations
- Multimodal audio processing (Qwen audio model)
- Dataset preparation and fine-tuning support
**Evaluations**
- LLM system performance measurement
- Custom evaluation dataset creation
- Pipeline optimization techniques
Access and Support Options
- Free tutorials available on YouTube
- Repository access via:
- Lifetime purchase
- Annual subscription
- Bundle options (includes Discord access)
- YouTube channel memberships with three tiers:
- Explorer
- Attention Seeker (priority replies)
- Transformer (early video access)
New Initiatives
- Developer collaboration program (formerly internships)
- Trelis Grants program for AI tool development
- Fast grants with revenue focus
- Potential 10k SAFE investment for alumni
- Bi-annual online meetups
Publishing Schedule
- Tutorials: Mondays at 2pm Irish time
- News briefings: Fridays at 9am Irish time
- Additional updates via Twitter/X and Substack