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README.md

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 # SliceX AI™ ELM (Efficient Language Models)
-This repository contains code to run our ELM models.
+**ELM** (which stands for **E**fficient **L**anguage **M**odels) is the first version in the series of cutting-edge language models from [SliceX AI](https://slicex.ai) that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
 
+<div align="center">
+  <img src="https://github.com/slicex-ai/bazaar2/blob/master/public_releases/v1/logo.png" width="256"/>
+</div>
+
+ELM is designed to be a modular and customizable family of neural networks that are highly efficient and performant. Today we are sharing the first version in this series: **ELM-v0.1** models. 
+
+_Model:_ ELM introduces a new type of _(de)-composable LLM model architecture_ along with the algorithmic optimizations required to learn (training) and run (inference) these models. At a high level, we train a single ELM model in a self-supervised manner (during pre-training phase) but once trained the ELM model can be sliced in many ways to fit different user/task needs. The optimizations can be applied to the model either during the pre-training and/or fine-tuning stage. 
+
+_Fast Inference with Customization:_ Once trained, the ELM model architecture permits flexible inference strategies at runtime depending on the deployment needs. For instance, the ELM model can  be _decomposed_ into smaller slices, i.e., smaller (or larger) models can be extracted from the original model to create multiple inference endpoints. Alternatively, the original (single) ELM model can be loaded _as is_ for inference and different slices within the model can be queried directly to power faster inference. This provides an additional level of flexibility for users to make compute/memory tradeoffs depending on their application and runtime needs.
+
+## Download ELM repo
 Models are located in the "models" folder. ELM models in this repository comes in three sizes (elm-1.0, elm-0.75 and elm-0.25) and supports the following use-cases.
 - news_classification
 - toxicity_detection
 - news_content_generation
 - news_summarization
 
-Try out the ELM models in HF spaces at [slicexai/elm-demo-v1](https://huggingface.co/spaces/slicexai/elm-demo-v1)
-
-## Download ELM repo
 ```bash
 git clone git@hf.co:slicexai/elm-v0.1
 sudo apt-get intall git-lfs