Fine-tuning and adaptation

Introducing vision to the fine-tuning API

Developers can now fine-tune GPT-4o with images and text to improve vision capabilities

Model Distillation in the API

Fine-tune a cost-efficient model with the outputs of a large frontier model–all on the OpenAI platform

Fine-tuning LLMs to 1.58bit: extreme quantization made easy

Fine-tuning now available for GPT-4o

LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs - Do We Still Need Fine-Tuning?

TGI Multi-LoRA: Deploy Once, Serve 30 Models

Fine-tuning Florence-2 - Microsoft's Cutting-edge Vision Language Models

Mistral AI Fine-tuning Hackathon

We are thrilled to announce the Mistral AI fine-tuning hackathon, a virtual experience taking place from June 5 - 30, 2024.

Training and Finetuning Embedding Models with Sentence Transformers

Introducing improvements to the fine-tuning API and expanding our custom models program

We’re adding new features to help developers have more control over fine-tuning and announcing new ways to build custom models with OpenAI.

ScreenAI: A visual language model for UI and visually-situated language understanding

Posted by Srinivas Sunkara and Gilles Baechler, Software Engineers, Google Research Screen user interfaces (UIs) and infographics, such as charts, diagrams and tables, play important roles in human communication and human-machine interaction as they facilitate rich and interactive user experiences. UIs and infographics share similar design principles and visual language (e.

Cappy: Outperforming and boosting large multi-task language models with a small scorer

Posted by Yun Zhu and Lijuan Liu, Software Engineers, Google Research Large language model (LLM) advancements have led to a new paradigm that unifies various natural language processing (NLP) tasks within an instruction-following framework. This paradigm is exemplified by recent multi-task LLMs, such as T0 , FLAN , and OPT-IML .

Health-specific embedding tools for dermatology and pathology

Posted by Dave Steiner, Clinical Research Scientist, Google Health, and Rory Pilgrim, Product Manager, Google Research There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology , dermatology and pathology . Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to interpret these images more accurately and efficiently.

Fine-Tuning Gemma Models in Hugging Face

🤗 PEFT welcomes new merging methods

MobileDiffusion: Rapid text-to-image generation on-device

Posted by Yang Zhao, Senior Software Engineer, and Tingbo Hou, Senior Staff Software Engineer, Core ML Text-to-image diffusion models have shown exceptional capabilities in generating high-quality images from text prompts. However, leading models feature billions of parameters and are consequently expensive to run, requiring powerful desktops or servers (e.

Fine-Tune W2V2-Bert for low-resource ASR with 🤗 Transformers

Make LLM Fine-tuning 2x faster with Unsloth and 🤗 TRL

LoRA training scripts of the world, unite!

Goodbye cold boot - how we made LoRA Inference 300% faster