pollinations

7 ms·

1.
by pollinations 11mo ago
Maybe the skill could have references to the code. Like if everything else fails it can look at the implementation. Intuitively it feels like if you need to look at the implementation to understand the library then the library is probably n
2.
by pollinations 11mo ago
They were just giving that as an example that Zed's inline suggestions aren't very good for basic tasks. There are hundreds of othersmall tasks like this that can't be handled by the language server.
3.
by pollinations 11mo ago
Plus executable.xode snippets. I think their actual source code doesn't use context. But feels like function calling packaged.
4.
by pollinations 1y ago
Whether you believe the the article or not, the point you posted seems orthogonal to what google is saying. They're not claiming anything about the quality of AI summaries. They are analyzing how traffic to external sites has been affe
5.
by pollinations 1y ago
# Configure NF4 quantization quant_config = PipelineQuantizationConfig( quant_backend="bitsandbytes_4bit", quant_kwargs={"load_in_4bit": True, "bnb_4bit_quant_type": "nf4", &quo
6.
by pollinations 1y ago
I'd say commit a comprehensive testing system with the prompts. Prompts are in a sense what higher level programming languages were to assembly. Sure there is a crucial difference which is reproducibility. I could try and write down my
7.
by pollinations 1y ago
This reads pretty definitively. If LLMs are intelligently thinking programs is being actively debated in cognitive science and AI research.
8.
by pollinations 1y ago
Why isn't it debuggable?
9.
by pollinations 2y ago
I don't think individual examples make sense to solve these kinds of discussions as for me it can vary easily by 6x thinking with exactly the same input and parameters.
10.
by pollinations 2y ago
I was recently trying to write a relatively simple htmx service with Claude. I was surprised at how much worse it was when it's not React.