Update S0-L25.md

_contents/S0-L25.md

@@ -39,7 +39,11 @@ In this session, our readings cover:
 
 ## More readings
 
-
+### Must know tools for training/finetuning LLM's - 
+1. Torchtune - Build on top of Pytorch, for training and finetuning LLM's. Uses yaml based configs for easily running experiments. Github - https://lnkd.in/ghu6wx9r
+2. axolotl - Built on top on Huggigface peft and transformer library, supports fine-tuning a large number for models like Mistral, LLama etc. Provides support for techniques like RLHF, DPO, LORA, qLORA etc. Github - https://lnkd.in/gYpisva9
+3. LitGPT - Build on nanoGPT and Megatron, support pre-training and fine-tuning, has examples like Starcoder, TinyLlama etc. Github - https://lnkd.in/gKisgXms
+4. Maxtext - Jax based library for training LLM's on Google TPU's with configs for models like Gemma, Mistral and LLama2 etc. Github - https://lnkd.in/gjeHvZF4
 
 ### Instruction Tuning for Large Language Models: A Survey
 + https://arxiv.org/abs/2308.10792