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### Problem Statement
Feedback from a user.
Currently, when a state is trimmed due to size limits we do not visually signal the user that the context has been trimmed. This is especially confus…
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**Describe the bug**
Getting an error when in Amazon Q Chat using the /dev command to generate code suggestion. However, the same is not happening in VSCode, but just Jetbrain (Webstorm)
Sorry, we…
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For the analysis of large programs, the autotuner should set the analysis to be context-insensitive, following the heuristic that context-insensitive analyses tend to terminate more quickly.
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this is only for Ollama queries
When using the default context length settings, each query to the Llama model is limited to approximately 2,000 tokens. To effectively utilize the full potential of …
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### Is your feature request related to a problem? Please describe.
Problem: I want to repeat a tileable pattern or texture in the background of an element
### Describe the solution you'd like.
Ha…
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### Describe the bug
Making a request which has a very large payload (e.g. 50MB) usually receives a 413 error from the server it is calling. This means `raise_for_status()` returns a `ClientResponseE…
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** Rational **
Large datasets are now often stored in the Parquet format (https://parquet.apache.org). In principle, other packages can read efficiently data in the parquet format.
**Related**
…
wfthi updated
11 hours ago
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**Describe the issue:**
I'm running into a problem right now when dealing with large code repositories. When I'm dealing with small code repositories, autopilot works great. But when I'm dealing wi…
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I am trying to finetune with fixed context_length and pred_length via loading train data with SimpleEvalDatasetBuilder.
However, the eval prediction result is extraordinarily large.
What's right w…
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The file is about 5M in size.
simplified structure:
```js
window.__require = (function t(e, i, n) {
function o(a, s) {
if (!i[a]) {
if (!e[a]) {
let l = a.split("/");
…