Changelog for the AI Developer Hub

AI developer tutorials are available at the AI Developer Hub.

Version 4.0

Added

• New inference tutorial:

  • AI agent with MCPs using vLLM and PydanticAI

• New GPU development and optimization tutorials:

  • Kernel development and optimization with Triton

  • Profiling Llama-4 inference with vLLM

  • FP8 quantization with AMD Quark for vLLM

Changed

• DDIM pretraining tutorial renamed to Custom diffusion model with PyTorch with some minor changes.

Version 3.1

Added

• New fine-tuning tutorial:

  • GRPO with Unsloth

Version 3.0

Added

• New inference tutorials:

  • Speculative decoding with vLLM

  • Llama Stack

  • DeepSeek-R1 with SGLang

• New fine-tuning tutorial:

  • Llama-3.1 8B with Llama-Factory

• New pretraining tutorial:

  • DDIM

Version 2.0

Added

• New inference tutorials:

  • OCR with vision-language models with vLLM

  • Building AI pipelines for voice assistants

• New fine-tuning tutorial:

  • Llama-3.1 8B with torchtune

• New pretraining tutorial:

  • Llama-3.1 8B with torchtitan

Changed

• Updated the supported ROCm versions for some guides

• Additional minor changes

Version 1.0

Added

• New inference tutorials:

  • Hugging Face Transformers

  • Hugging Face TGI

  • Deploying with vLLM

  • From chatbot to rap bot with vLLM

  • RAG with LlamaIndex and Ollama

• New fine-tuning tutorials:

  • VLM with PEFT

  • LLM with LoRA

  • LLM with QLoRA

• New pretraining tutorials:

  • OLMo model with PyTorch FSDP

  • Training configuration with Megatron-LM

  • LLM with Megatron-LM