23 Matching Annotations
  1. Last 7 days
    1. It appears that the number of filters does make a difference 😂. In your gist, where the number of filters is set to 40, there are no crashes. However, I repo above code in colab, in the provided gist, where the number of filters is increased to 1792, it crashes, and the error message suggests a potential OOM issue.
    2. I have tested the given code on colab and its working fine.Please refer attached gist. Please note that I have reduced the no of filters due to Memory constraints but it should not affect the reported behaviour. Could you please verify the behaviour attached. Can you confirm whether the issue with Windows Package as it will download intel package?
    1. UPDATE: Now it uses pinecone. I had previously typed PINECONE in upper case letters. That was the problem. Now the line in my .env file looks like this: MEMORY_BACKEND=pinecone It crashes on the first run because it takes some time for the Pinecone index to initialize. That´s normal. Still testing if it actually codes something now... UPDATE_2: Now it wants to install a code editor like pycharm :-) Never seen it try something like this. I´ve tried to give it human feedback: you dont need a code editor. just use the write_to_file function. Sadly that confused the ai.....React
  2. Oct 2025
    1. add a new Claude-based workflow for when dependabot opens a pr to have Claude review it. Base it on the claude.yml workflow and make sure to include the existing setup, just add a custom prompt. research the best way to do this with the claude github action and make it look up the change log for the dependobot for all the changed dependencies + check them for breaking changes + let us know if we're impacted
    1. The agent blocks are missing their input/output pins because the input_schema and output_schema properties are not being populated in the GraphMeta objects when flows are loaded. When these are undefined, the CustomNode component falls back to empty schemas {}, resulting in no pins being rendered.
  3. Sep 2025
  4. Aug 2025
    1. Could you try to modify the tf.keras to keras and execute the code. I have changed some steps like modifying tf_keras/keras.Sequential instead of tf.keras.Sequential and the code was executed without error/fail. Kindly find the gist of it here. Thank you!