Update README.md

README.md

@@ -192,10 +192,10 @@ widget:
         Label:
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-<h1 style="font-size: 42px">TOGETHER RESEARCH<h1/>
+<h1 style="font-size: 42px">GPT-JT<h1/>
 
 # Model Summary
-We present GPT-JT, a fork of GPT-6B, trained for 20,000 steps, that outperforms most 100B+ parameter models at classification, and improves most tasks. GPT-JT was trained with a new decentralized algorithm with  1G interconnect.
+We present GPT-JT, a fork of GPT-6B, trained for 20,000 steps, that outperforms most 100B+ parameter models at classification, and improves most tasks relative to GPT-J-6B. GPT-JT was trained with a new decentralized algorithm on computers networked on slow 1Gbps links.
 GPT-JT is a bidirectional dense model, trained through UL2 objective with NI, P3, COT, the pile data. 
 
 **Please check out our demo: [TOMA-app](https://huggingface.co/spaces/togethercomputer/TOMA-app).**
@@ -204,7 +204,7 @@ GPT-JT is a bidirectional dense model, trained through UL2 objective with NI, P3
 ```python
 from transformers import pipeline
 pipe = pipeline(model='togethercomputer/GPT-JT-6B-v1')
-pipe('''Please answer the following question:\n\nQuestion: Where is Zurich?\nAnswer:''')
+pipe('''I like this! <-- Is it positive or negative?\nA:''')
 ```
 
 or