Fine-tuning and adaptation

Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama 2, and Mistral for Disaster Tweets Analysis with Lora

Fine-tuning Llama 2 70B using PyTorch FSDP

OpenAI partners with Scale to provide support for enterprises fine-tuning models

OpenAI’s customers can leverage Scale’s AI expertise to customize our most advanced models.

GPT-3.5 Turbo fine-tuning and API updates

Developers can now bring their own data to customize GPT-3. 5 Turbo for their use cases.

Fine-tune Llama 2 with DPO

Fine-tuning Stable Diffusion models on Intel CPUs

Fine-Tune MMS Adapter Models for low-resource ASR

Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRA

Fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU

Parameter-Efficient Fine-Tuning using 🤗 PEFT

Using LoRA for Efficient Stable Diffusion Fine-Tuning

Fine-tuning GPT-3 to scale video creation

Fine-tuning GPT-3 to power and scale done-for-you video creation.

Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers

Train and Fine-Tune Sentence Transformers Models

Learning to play Minecraft with Video PreTraining

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools, a task that usually takes proficient humans over 20 minutes (24,000 actions).

Fine-Tune a Semantic Segmentation Model with a Custom Dataset

Fine-Tune ViT for Image Classification with 🤗 Transformers

WebGPT: Improving the factual accuracy of language models through web browsing

We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.

Customizing GPT-3 for your application

Fine-tune with a single command.

Accelerating PyTorch distributed fine-tuning with Intel technologies