Sip of AI Blog

LLM Distillation just got easier - Part 4 - Maximize your fine-tuned model performance with the new Azure AI Evaluation SDK

Discover how to enhance AI model performance with the Azure AI Evaluation SDK. Learn the evaluation process of fine-tuned models, compare distilled and baseline models using…

LLM Distillation just got easier - Part 3 - Deploying your LoRA Fine-tuned Llama 3.1 8B model, why it’s a breeze!

Learn how Azure AI makes it effortless to deploy your LoRA fine-tuned models using Azure AI.

Thoughts about OpenAI’s new Distillation feature

OpenAI has recently introduced a compelling new distillation feature, setting itself apart from traditional methods. Unlike Synthetic Data Distillation—on which I wrote…

LLM Distillation just got easier - Part 2 - Fine-Tuning Llama 3.1 8B on Azure AI Serverless

How Azure AI Serverless Fine-tuning, LoRA, RAFT and the AI Python SDK are streamlining fine-tuning of domain specific models.

LLM Distillation just got easier - Part 1 - Synthetic Data Gen with Llama 3.1 405B & RAFT

How Llama 405B and RAFT on Azure AI are changing the landscape of synthetic dataset generation and making model distillation much more approachable

GoEX: a safer way to build autonomous Agentic AI applications

The Gorilla Execution Engine, from a paper by the UC Berkeley researchers behind Gorilla LLM and RAFT, helps developers create safer and more private Agentic AI applications

RAFT: A new way to teach LLMs to be better at RAG

‘Retrieval-Augmented Fine-Tuning’ combines the benefits of Retrieval-Augmented Generation and Fine-Tuning for better domain adaptation