Cedric Vidal
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Sip of AI Blog

LLM Distillation just got easier - Part 4 - Maximize your fine-tuned model performance with the new Azure AI Evaluation SDK
AI
Llama
Recipe
Github
Meta
RAFT
Fine-tuning
Tech Community
UC Berkeley
Azure
Evaluation

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…

Oct 31, 2024

LLM Distillation just got easier - Part 3 - Deploying your LoRA Fine-tuned Llama 3.1 8B model, why it’s a breeze!
AI
Llama
Recipe
Github
Meta
RAFT
Fine-tuning
Tech Community
UC Berkeley
Azure
Deployment

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

Oct 24, 2024

Thoughts about OpenAI’s new Distillation feature
AI
OpenAI
Distillation
Fine-tuning
OpenAI has recently introduced a compelling new distillation feature, setting itself apart from traditional methods. Unlike Synthetic Data Distillation—on which I wrote…
Cedric Vidal
Oct 2, 2024

LLM Distillation just got easier - Part 2 - Fine-Tuning Llama 3.1 8B on Azure AI Serverless
AI
Llama
Recipe
Github
Meta
RAFT
Fine-tuning
Tech Community
UC Berkeley
Azure

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

Sep 18, 2024

LLM Distillation just got easier - Part 1 - Synthetic Data Gen with Llama 3.1 405B & RAFT
AI
Llama
Recipe
Github
Meta
RAFT
Fine-tuning
Tech Community
UC Berkeley

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

Sep 4, 2024

GoEX: a safer way to build autonomous Agentic AI applications
AI
Llama
Meta
GoEX
Microservices
Tech Community
UC Berkeley

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

Apr 24, 2024

RAFT: A new way to teach LLMs to be better at RAG
AI
Llama
Meta
RAFT
Fine-tuning
Tech Community
UC Berkeley

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

Mar 15, 2024
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