READY TO POST:
openai just dropped `gpt-4o-2024-08-06` in their latest SDK. keeping an eye on what this new version of gpt-4o can do!
looks like openai is testing new 'realtime' and 'responses' connection beta features in the v3.9.0 sdk. could be interesting for live interactions.
openai 3.8.0 -> 3.9.0: +106 strings, -565 strings, 41 interesting [model_id] (1) + py with client.chat.completions.stream( model="gpt-4o-2024-08-06", messages=[...], ) as stream: for event in stream: if event.type == "content.delta": print(event.delta, flush=True, end="") [feature_flag] (4) + py connection = client.beta.realtime.connect(...).enter() # ... connection.close() + py connection = client.beta.responses.connect(...).enter() # ... connection.close() + py connection = client.beta.realtime.connect(...).enter() # ... connection.close() + py connection = client.beta.responses.connect(...).enter() # ... connection.close() [sentence] (41) + py with client.chat.completions.stream( model="gpt-4o-2024-08-06", messages=[...], ) as stream: for event in stream: if event.type == "content.delta": print(event.delta, flush=True, end="") + py connection = client.beta.realtime.connect(...).enter() # ... connection.close() + py connection = client.beta.responses.connect(...).enter() # ... connection.close() + py connection = client.beta.realtime.connect(...).enter() # ... connection.close() + py connection = client.beta.responses.connect(...).enter() # ... connection.close() + - Based on your data it seems like you're trying to fine-tune a model for {ft_type} - For classification, we recommend you try one of the faster and cheaper models, such as `ada` - For classification, you can estimate the expected model performance by keeping a held out dataset, which is not used fo + - There are {len(long_indexes)} examples that are very long. These are rows: {long_indexes} For conditional generation, and for classification the examples shouldn'
caught by the 20-minute sweep · the live wire · all receipts