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The Dino, the Llama, and the Whale (Deno and Jupyter for Local AI Experiments)

60 pointsby olestr3 months ago

8 comments

cship23 months ago
Why is langchain still used, thought that not needed, can it just be replaced with some type of custom ETL functions. Or is that still defector ways to interacte with llam?
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Lerc3 months ago
I have had a quick play around with Deno notebooks. The pain points for me were in image and UI outputs. There is such a large base of support for the Python side, it will take quite a lot of work to catch up. The various python bits seem to be quite dependent on the implementation platform though. Colab, jupyter-lab and integrated into an editor are quite different beasts.<p>Being able to display an entity that carried a MessagePort and a closure for communication would enable a lot there.
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AbuAssar3 months ago
after trying the instructions I found the following issues:<p>1- Deepseek-r1 &lt;think&gt;&lt;&#x2F;think&gt; tags in the answer break the JSON validation.<p>2- Deno&#x27;s LSP keeps marking any variable in the cell as not defined even though it is defined in a prior cell, which is annoying.
AbuAssar3 months ago
missing from the article is that you need execute the following command to install Deno jupyter kernel:<p>deno jupyter --install
wilde3 months ago
“We advise on technology”<p><i>proceeds to overengineer a hello world example while providing no demonstration of advantage over curl</i>
aqueueaqueue3 months ago
All running on a goat and penguin?
linwangg3 months ago
I like the idea of Jupyter supporting more languages, but isn’t the main issue that most AI tooling is deeply tied to Python? How do we solve that?
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nsonha3 months ago
tldr: article that has some code and uses tools mentioned in the title.