update readme aug 2024

README.md

@@ -6,69 +6,73 @@ colorTo: green
 sdk: static
 pinned: true
 tags:
+- fine-tuning
 - inference
 - function calling
-- long context
-- mistral
-- deepseek
-- yi
-- code-llama
 - quantization
-- SFT
-- fine-tuning
 ---
-*last updated Feb 16th 2024*
+*last updated August 1st 2024*
 ## About
 Trelis Research provides:
-- Function-calling models.
 - Advanced LLM fine-tuning scripts.
 - Advanced LLM inference guides.
 - Advanced vision fine-tuning scripts.
-- Advanced voice/transcription fine-tuning scripts.   
+- Advanced voice/transcription fine-tuning scripts.
 - One click LLM API templates
-
-## Function-calling Models and Datasets
-
-[Get access here](https://trelis.com/function-calling/)
-
-- Fine-tuned models for function calling - from 1.3B to 70B in size, incl. Mixtral, Yi, Deepseek, Llama and more. [Collection here](https://huggingface.co/collections/Trelis/function-calling-v3-657199ecbe378693925c7915)
-- Dataset to fine-tune models for function calling. [Access here](https://huggingface.co/datasets/Trelis/function_calling_v3)
-- Scripts to fine-tune models for function calling and structured responses.
+- Function-calling models.
 
 ## ADVANCED Fine-tuning Scripts
 
 [Get access here](https://trelis.com/advanced-fine-tuning-scripts/)
 
-1. Unsupervised + Supervised Fine-tuning Notebooks
-1. Chat fine-tuning scripts
-1. Long context fine-tuning scripts
-1. Function calling fine-tuning
-1. Q&A Dataset Preparation + Cleaning Scripts
-1. Scripts to create and use Embeddings
-1. Quantization Scripts
+- retrieval (bm25, similarity, re-rankers)
+- wikipedia fine-tuning and dataset creation
+- ReFT fine-tuning
+- multi-gpu fine-tuning
+- orpo fine-tuning
+- memorization fine-tuning
+- mamba-fine-tune
+- DPO fine-tuning
+- chat-fine-tuning
+- function-calling fine-tuning
+- long-context fine-tuning
+- quantization
+- supervised-fine-tuning
+- unsupervised-fine-tuning
 
 ## ADVANCED Inference
 
 [Get access here](https://trelis.com/enterprise-server-api-and-inference-guide/)
 
-- Server setup, API setup and inference guide for open source models.
-- Inference for function calling.
+- Server setup, API setup and inference guide for open source models
+- Inference for function calling
+- Monte Carlo Inference Methods
+- Private Data Redaction
+- Structured Data Extraction with LLMs
+- Verified RAG citations
 
-## ADVANCED Vision
+## ADVANCED Vision Fine-tuning
 
 [Get access here](https://trelis.com/advanced-vision/)
 
 - Dataset Preparation
-- Fine-tuning Llava and IDEFICS
+- Fine-tuning Llava, IDEFICS2
 
-## ADVANCED Transcription
+## ADVANCED Transcription and Voice Cloning
 
 [Get access here](https://trelis.com/advanced-transcription/)
 
-- Fine-tuning Whisper on custom datasets
 - Dataset Generation
-- Evaluation
+- Fine-tuning Whisper speech-to-text on custom datasets
+- Voice Cloning Fine-tuning / Text-to-Speech
 
 ## One-click LLM API/Server Templates
 - Check out the full list [here](https://github.com/TrelisResearch/one-click-llms)
-- Includes Llama 70B, Mistral 7B, Mixtral 8x7B and many more
+
+## Function-calling Models and Datasets
+
+[Get access here](https://trelis.com/function-calling/)
+
+- Fine-tuned models for function calling - from 1.3B to 70B in size, incl. Mixtral, Yi, Deepseek, Llama and more. [Collection here](https://huggingface.co/collections/Trelis/function-calling-v3-657199ecbe378693925c7915)
+- Dataset to fine-tune models for function calling. [Access here](https://huggingface.co/datasets/Trelis/function_calling_v3)
+- Scripts to fine-tune models for function calling and structured responses.