Fine Tuning
Together AI Upgrades Fine-Tuning Platform With Vision and Reasoning Support
Together AI adds tool calling, reasoning traces, and vision-language fine-tuning to its platform, with 6x throughput gains for 100B+ parameter models.
Enhancing AI Models: Fine-Tuning LLMs on NVIDIA GPUs with Unsloth
Explore how Unsloth, an open-source framework, optimizes AI model fine-tuning on NVIDIA GPUs, offering advanced capabilities for personalized assistants and more.
Together AI Enhances Fine-Tuning Platform with Larger Models and Hugging Face Integration
Together AI unveils major upgrades to its Fine-Tuning Platform, including support for 100B+ parameter models, extended context lengths, and improved integration with Hugging Face Hub.
Open-Source LLMs Surpass Proprietary Models in Specialized Tasks
Parsed's fine-tuning of a 27B open-source LLM outperforms Claude Sonnet 4 by 60% in healthcare tasks, offering significant cost savings and performance gains.
NVIDIA Enhances Translation with Domain-Specific Fine-Tuning and NIM
NVIDIA leverages domain-specific fine-tuning and NIM to improve translation quality, addressing challenges in large language models and ensuring cultural sensitivity and precision.
Together AI Unveils Serverless Multi-LoRA for Scalable Model Customization
Together AI launches Serverless Multi-LoRA, allowing scalable fine-tuning and deployment of custom adapters. This innovation promises cost-efficient, high-performance model customization.
Together AI Enhances Fine-Tuning API with Long-Context and Conversational Data Support
Together AI introduces significant updates to its Fine-Tuning API, including long-context training, conversation data support, and improved configuration options for better model customization and performance.
Harnessing AMD Radeon GPUs for Efficient Llama 3 Fine-Tuning
Explore the innovative methods for fine-tuning Llama 3 on AMD Radeon GPUs, focusing on reducing computational costs and enhancing model efficiency.