Update readme (#10071)

README.md

@@ -12,7 +12,8 @@
 > *It is built on the excellent work of [llama.cpp](https://github.com/ggerganov/llama.cpp), [bitsandbytes](https://github.com/TimDettmers/bitsandbytes), [qlora](https://github.com/artidoro/qlora), [gptq](https://github.com/IST-DASLab/gptq), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [awq](https://github.com/mit-han-lab/llm-awq), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [vLLM](https://github.com/vllm-project/vllm), [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), [gptq_for_llama](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [chatglm.cpp](https://github.com/li-plus/chatglm.cpp), [redpajama.cpp](https://github.com/togethercomputer/redpajama.cpp), [gptneox.cpp](https://github.com/byroneverson/gptneox.cpp), [bloomz.cpp](https://github.com/NouamaneTazi/bloomz.cpp/), etc.*
 
 ### Latest update 🔥 
-- [2024/01] 🔔🔔🔔 ***Starting from 2024/01/08, the default `bigdl-llm` GPU Linux installation switched from PyTorch 2.0 to PyTorch 2.1, which requires new oneAPI and GPU driver versions. (See the [GPU installation guide](https://bigdl.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html) for more details.)***
+- [2024/02] `bigdl-llm` now supports a comprehensive list of LLM finetuning on Intel GPU (including [LoRA](python/llm/example/GPU/LLM-Finetuning/LoRA), [QLoRA](python/llm/example/GPU/LLM-Finetuning/QLoRA), [DPO](python/llm/example/GPU/LLM-Finetuning/DPO), [QA-LoRA](python/llm/example/GPU/LLM-Finetuning/QA-LoRA) and [ReLoRA](python/llm/example/GPU/LLM-Finetuning/ReLora))
+- [2024/01] 🔔🔔🔔 ***The default `bigdl-llm` GPU Linux installation has switched from PyTorch 2.0 to PyTorch 2.1, which requires new oneAPI and GPU driver versions. (See the [GPU installation guide](https://bigdl.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html) for more details.)***
 - [2023/12] `bigdl-llm` now supports [ReLoRA](python/llm/example/GPU/LLM-Finetuning/ReLora) (see *["ReLoRA: High-Rank Training Through Low-Rank Updates"](https://arxiv.org/abs/2307.05695)*)
 - [2023/12] `bigdl-llm` now supports [Mixtral-8x7B](python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral) on both Intel [GPU](python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral) and [CPU](python/llm/example/CPU/HF-Transformers-AutoModels/Model/mixtral).
 - [2023/12] `bigdl-llm` now supports [QA-LoRA](python/llm/example/GPU/LLM-Finetuning/QA-LoRA) (see *["QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models"](https://arxiv.org/abs/2309.14717)*)

docs/readthedocs/source/index.rst

@@ -24,7 +24,8 @@ BigDL-LLM: low-Bit LLM library
 ============================================
 Latest update 🔥
 ============================================
-- [2024/01] 🔔🔔🔔 **Starting from 2024/01/08, the default** ``bigdl-llm`` **GPU Linux installation switched from PyTorch 2.0 to PyTorch 2.1, which requires new oneAPI and GPU driver versions. (See the** `GPU installation guide <https://bigdl.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html>`_ **for more details.)**
+- [2024/02] ``bigdl-llm`` now supports a comprehensive list of LLM finetuning on Intel GPU (including `LoRA <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/LLM-Finetuning/LoRA>`_, `QLoRA <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/LLM-Finetuning/QLoRA>`_, `DPO <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/LLM-Finetuning/DPO>`_, `QA-LoRA <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/LLM-Finetuning/QA-LoRA>`_ and `ReLoRA <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/LLM-Finetuning/ReLora>`_)
+- [2024/01] 🔔🔔🔔 **The default** ``bigdl-llm`` **GPU Linux installation has switched from PyTorch 2.0 to PyTorch 2.1, which requires new oneAPI and GPU driver versions. (See the** `GPU installation guide <https://bigdl.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html>`_ **for more details.)**
 - [2023/12] ``bigdl-llm`` now supports `ReLoRA <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/LLM-Finetuning/ReLora>`_ (see `"ReLoRA: High-Rank Training Through Low-Rank Updates" <https://arxiv.org/abs/2307.05695>`_)
 - [2023/12] ``bigdl-llm`` now supports `Mixtral-8x7B <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral>`_ on both Intel `GPU <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral>`_ and `CPU <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mixtral>`_.
 - [2023/12] ``bigdl-llm`` now supports `QA-LoRA <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/LLM-Finetuning/QA-LoRA>`_ (see `"QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models" <https://arxiv.org/abs/2309.14717>`_).