changing 1 prompt and 1 example completion, adding in ack at bottom and changing heading for limitations and rail restrictions

README.md

@@ -29,7 +29,8 @@ BLOOMChat is [BigScience Group BLOOM model](https://huggingface.co/bigscience/bl
 - **Blog Post**: [More Information Needed]
 
 ## Uses
-
+<details>
+<summary>Click to expand</summary>
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
 ### Direct Use
@@ -52,14 +53,15 @@ Bloom chat should NOT be used for:
 
 This model is still in early development and can be prone to mistakes and hallucinations, there is still room for improvement. This model is intended to provide the community with a good baseline.
 
-
-
 ### Recommendations
 
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
 Users should be made aware of the risks, biases, limitations, and restrictions of the model, which are listed down at the bottom of the page. 
 
+</details>
+
+
 ---
 ## How to Get Started with the Model
 
@@ -75,6 +77,18 @@ tokenizer = AutoTokenizer.from_pretrained("sambanovasystems/BLOOMChat-176B-v1")
 model = AutoModelForCausalLM.from_pretrained("sambanovasystems/BLOOMChat-176B-v1", device_map="auto", torch_dtype="auto")
 ```
 
+### Tutorial on using the model for text generation
+
+[Transformers BLOOM Inference](https://github.com/huggingface/transformers-bloom-inference)
+
+Specifically we tested BLOOM inference via command-line in this repository.
+
+NOTE: Things that we had to modify in order for BLOOMChat to work:
+- Install transformers version 4.27.0
+    - `pip install transformers==4.27.0`
+- Change the model name from `bigscience/bloom` to `sambanovasystems/BLOOMChat-176B-v1`
+
+
 
 ### Suggested Inference Parameters
 - Temperature: 0.8
@@ -94,9 +108,7 @@ model = AutoModelForCausalLM.from_pretrained("sambanovasystems/BLOOMChat-176B-v1
 ```
 
 ```
-<human>: Answer the following question using the context below:
-Q: Which regulatory body is invovled?
-Context: U.S. authorities launched emergency measures on Sunday to shore up confidence in the banking system after the failure of Silicon Valley Bank (SIVB.O) threatened to trigger a broader financial crisis. After a dramatic weekend, regulators said the failed bank’s customers will have access to all their deposits starting Monday and set up a new facility to give banks access to emergency funds. The Federal Reserve also made it easier for banks to borrow from it in emergencies. While the measures provided some relief for Silicon Valley firms and global markets on Monday, worries about broader banking risks remain and have cast doubts over whether the Fed will stick with its plan for aggressive interest rate hikes.
+<human>: Create an itemized list of tasks to complete to start a clothing brand
 <bot>:
 ```
 
@@ -132,17 +144,11 @@ Details:
 ```
 
 ```
-<human>: Explain the difference between a proton and a neutron
-<bot>: A proton and a neutron are both subatomic particles, but they differ in several ways:
+<human>: What is artificial intelligence? Explain it so an 8 year old will understand.
+<bot>: Artificial Intelligence (AI) is a computer program or machine that can do things that would normally require human intelligence, such as recognizing patterns, making decisions, and learning from experience. AI can be found in many places, such as self-driving cars, smartphones, and even robots. AI is used to make things easier for people, like when your smartphone can translate text into another language or when your voice-controlled speaker can play music for you.
+AI works by using algorithms and big data to learn and improve over time. For example, self-driving cars use AI to analyze the environment around them and make decisions about how to drive. The car gathers data from its sensors, processes it using algorithms, and adjusts its behavior accordingly. This process is called machine learning.
+AI is still a developing technology, and there are still many things that AI programs cannot do yet. However, as AI continues to evolve, it is likely that it will become more and more capable of performing tasks that were once thought to require human intelligence.
 
-Mass: A proton has a mass of approximately 1.67 x 10^-27 kilograms, while a neutron has a mass of approximately 1.67 x 10^-27 kilograms.
-
-Charge: A proton has a positive charge, while a neutron has no charge.
-
-Spinning: Protons and neutrons both have a spinning motion called intrinsic spin, but the direction of their spin is opposite to each other.
-
-Protons are found in the nucleus of atoms, while neutrons are found in the nucleus of atoms.
-In the nucleus of atoms, protons and neutrons are bound together in a structure called a nucleus, which gives the atom its stability.
 ```
 
 </details>
@@ -246,7 +252,7 @@ We trained BLOOMChat with SambaStudio, a platform built on SambaNova's in-house
 
 ---
 
-### RAIL Restrictions
+## RAIL Restrictions
 
 As the original model [BLOOM](https://huggingface.co/bigscience/bloom) is on the RAIL License, we need to follow the same restrictions.
 
@@ -265,7 +271,7 @@ You agree not to use the Model or Derivatives of the Model:
 12. To provide medical advice and medical results interpretation;
 13. To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).
 
-### Bias, Risks, and Limitations
+## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
@@ -276,4 +282,7 @@ Like all LLMs, BLOOMChat has certain limitations:
 - Coding and Math: The model's performance in generating accurate code or solving complex mathematical problems may be limited.
 - Toxicity: BLOOMChat may inadvertently generate responses containing inappropriate or harmful content.
 
+## Acknowledgment
+
+We would like to extend our gratitude to Together for their insightful technical discussions on overall project planning, data processing, model training, human evaluation experiment design, open-source endeavors, and their contributions on data processing code on OpenChatKit, OASST1, and Dolly 2.0.