Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI | Amazon Web Services
Search agents powered by large language models (LLMs) are transforming how enterprises retrieve information. Rather than requiring users to craft…
Tag: FineTune
Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI | Amazon Web Services
When you fine-tune large language models (LLMs) with Amazon SageMaker AI while using Databricks Unity Catalog, you might face unique…
Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities | Amazon Web Services
This hands-on guide walks through every step of fine-tuning an Amazon Nova model with the Amazon Nova Forge SDK, from…
Accelerate custom LLM deployment: Fine-tune with Oumi and deploy to Amazon Bedrock | Amazon Web Services
This post is cowritten by David Stewart and Matthew Persons from Oumi. Fine-tuning open source large language models (LLMs) often…
Fine-tune VLMs for multipage document-to-JSON with SageMaker AI and SWIFT | Amazon Web Services
Extracting structured data from documents like invoices, receipts, and forms is a persistent business challenge. Variations in format, layout, language,…
No-code developers can fine-tune AI models with ease — Here’s how
Vertical AI’s upcoming platform No-Code Studio will empower users from all backgrounds to fine-tune and integrate AI models. Artificial intelligence…
How To Fine-Tune Your AI Prompts For A Competitive Edge At Work
Fine-tuning your AI prompts can boost work productivity. getty You’re in a rush to meet a deadline and decide to…
Fine-tune large language models with reinforcement learning from human or AI feedback | Amazon Web Services
Large language models (LLMs) can be used to perform natural language processing (NLP) tasks ranging from simple dialogues and information…
Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrock | Amazon Web Services
There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large…