Teh Kok How
Teh Kok How
**Describe the bug** ASP.Net Core 9 application hits the exception which prevents it from starting up. **To Reproduce** Steps to reproduce the behavior: 1. Use this config '...' 2. Then...
How does the deepagent prioritize the tools usage? WIll the top-level tools override the tools of the subagents? For example, if I have a few subagents which perform RAG operations...
### Issue with current documentation: https://docs.smith.langchain.com/reference/data_formats/run_data_format ``` first_token_time datetime Time when the first token was generated. ``` When is the start and stop of the measurement and the events that...
### Checked other resources - [x] This is a bug, not a usage question. For questions, please use GitHub Discussions. - [x] I added a clear and detailed title that...
``` 025-06-11 19:33:06 ERROR /invoke exception! Type is not msgpack serializable: Send, repr: TypeError('Type is not msgpack serializable: Send') Traceback (most recent call last): File "/usr/src/Python/rag-agent/src/controllers/HomeController.py", line 139, in invoke...
HuggingFace has deprecated TF models. What is the TF alternative for me to use the transformers tokenizer and BERT models? Specifically, I am looking for the following: ``` from transformers...
https://github.com/tensorflow/tensorflow/issues/102880 ### Issue type Bug ### Have you reproduced the bug with TensorFlow Nightly? No ### Source binary ### TensorFlow version 2.20.0 ### Custom code Yes ### OS platform and...
I don't have any `require()` in my code but still hit the following error: ``` $ ./node_modules/.bin/mocha -r ts-node/register tests/**/*.ts --reporter mocha-junit-reporter --reporter-options mochaFile=test_reports/mocha/test-results.xml --exit (node:1015864) ExperimentalWarning: `--experimental-loader` may be...
### What happened? library import error! How to use this library for transfer learning with Python 3.13 when it is not actively maintained!?! ### Relevant code ```python import tensorflow_hub as...
`datasets==4.0.0` ``` columns_to_return = ['input_ids','attention_mask', 'start_positions', 'end_positions'] train_ds.set_format(type='tf', columns=columns_to_return) ``` `train_ds`: ``` train_ds type: , shape: (1000, 9) columns: ['question', 'sentences', 'answer', 'str_idx', 'end_idx', 'input_ids', 'attention_mask', 'start_positions', 'end_positions'] features:{'question': Value('string'),...