Categories: AI/ML Research

Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX)

Sponsored Content     By Travis Addair & Geoffrey Angus If you’d like to learn more about how to efficiently and cost-effectively fine-tune and serve open-source LLMs with LoRAX, join our November 7th webinar. Developers are realizing that smaller, specialized language models such as LLaMA-2-7b outperform larger general-purpose models like GPT-4 when fine-tuned with proprietary […]

The post Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX) appeared first on MachineLearningMastery.com.

AI Generated Robotic Content

Recent Posts

Using Amazon Q Business with AWS HealthScribe to gain insights from patient consultations

With the advent of generative AI and machine learning, new opportunities for enhancement became available…

2 hours ago

How a 12-Ounce Layer of Foam Changed the NFL

Even the makers of the Guardian Cap admit it looks silly. But for a sport…

3 hours ago

Combining next-token prediction and video diffusion in computer vision and robotics

In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to…

3 hours ago

What Is Perplexity AI? Understanding One Of Google’s Biggest Search Engine Competitors

What is Perplexity AI? Is it an over-hyped replacement for Google as a search engine,…

1 day ago

Scalable Private Search with Wally

This paper presents Wally, a private search system that supports efficient semantic and keyword search…

1 day ago

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

This post was co-written with Lucas Desard, Tom Lauwers, and Sam Landuydt from DPG Media.…

1 day ago