wskish

6 ms·

1.
by wskish 9mo ago
Skills are basically (on-demand) man pages for other libraries or cli tools, or SOPs for other more complex processes. A beautiful, minimal abstraction.
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by wskish 1y ago
codebases of high quality open source projects and their major dependencies are probably another good source. also: "transformative fair use", not "stolen"
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by wskish 1y ago
I think about this a lot. Consider the difference between the tidy signage of Tokyo versus the pell-mell streetfronts of Hong Hong. Societies should be able to choose how businesses impinge the public space.
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by wskish 1y ago
Amplified messaging from corporations is not the same as the free speech of individuals. Just as we disallow advertising for cigarettes and hard liquor on TV, a democratic society should be free to select other classes of messages that cor
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by wskish 2y ago
"Let’s delve into the details"
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by wskish 3y ago
To fully experience the night sky there is no substitute for getting up to altitude. Most of the atmosphere that really interferes with the view is way down low. Try a moonless night at 8000 to 11000 feet elevation in the eastern Sierra o
7.
Architectural Issues in the Andrew Message System (1989) [pdf](reports-archive.adm.cs.cmu.edu)
2 points by wskish 3y ago|1 comments
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by wskish 3y ago
"The Andrew Message System is one of the most ambitious and technically successful systems yet built in the area of electronic communication. In this paper, the authors of the system explain the key decisions in the architecture and re
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by wskish 3y ago
I came here to mention MenuMeters as well. It's the closest thing I can find to those beloved X window system load indicators of yore.
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by wskish 3y ago
interesting, GPT refuses to summarize this content: "I'm sorry, but I can't generate a summary for that content." per https://github.com/jiggy-ai/hn_summary & https://t.me/hn_sum
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by wskish 3y ago
I'm curious about the methodology but couldn't find an associated paper or research report. The original source seem to be university PR.
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by wskish 3y ago
It is amazing much room there is to re-optimize cities around smaller electric vehicle transportation when you think on a slightly longer timescale.
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by wskish 3y ago
It isn't so clear to me. If it conveys a human in any way that humans don't naturally move unassisted then in my mind it qualifies as a conveyance and hence a vehicle, especially in the sense of the the French véhicule, from Lati
14.
by wskish 3y ago
"Attention with Linear Biases (ALiBi): Inherited from the MPT family, this feature eliminates the context length limits by replacing positional embeddings, allowing for efficient and effective processing of lengthy documents. In future
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by wskish 3y ago
here is code (with several examples) that takes it a couple steps further by validating the output json and pydantic model and providing feedback to the llm model when it gets either of those wrong: https://github.com/jiggy-
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by wskish 3y ago
Do they mention anywhere the definition of "low quality" data or the proportion of removed data that was low quality versus duplicate? They mention "When upsampled, we expect SlimPajama to perform equal to or better than RedP
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by wskish 3y ago
Interesting that we have OpenAI using the more generic "GPT" here. Previously they would refer more specifically to ChatGPT, GPT-3, or GPT-4. I am guessing this is related to their trademark application for GPT, which was initia
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by wskish 3y ago
I uploaded the USPTO office action to a JiggyBase ( https://jiggy.ai ) collection and used GPT-4 and the JiggyBase ChatGPT plugin to help make sense of this: https://chat.openai.com/share/6a16cc77-4ef7-4e3a-bd
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Initial USPTO response to OpenAI GPT trademark application(tsdr.uspto.gov)
3 points by wskish 3y ago|3 comments
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by wskish 3y ago
"REFUSAL—MERELY DESCRIPTIVE: Registration is refused because the applied-for mark merely describes a feature, function, or characteristic of applicant’s goods and services." There are other details that exceed my trademark ken. An
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by wskish 3y ago
In this case we mean you can get some of the benefits of langchain and pinecone such as semantic search and augmented GPT retrieval without needing to deal with vectors, chunking, and llm tooling at such a low level. You can upload docs an
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by wskish 3y ago
For anyone thinking about applications of langchain and pinecone but who are looking for something more turn-key check out https://jiggy.ai The core is actually open source as well, allowing you to take your data back out via sq
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by wskish 3y ago
My partner and I recently launched something similar we are calling JiggyBase: https://jiggy.ai The core is open source ( https://github.com/jiggy-ai )
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by wskish 3y ago
this page presents as bottom 2 to 10% of internet
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by wskish 3y ago
based on my experience with GPT-4 in coding tasks it responds extremely well to just appended raw error output text without additional explanation.
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by wskish 3y ago
yes thats actually it
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by wskish 3y ago
After working through several projects that utilized local hnswlib and different databases for text and vector persistence, I integrated open source hnswlib with sqlite to create an embedded vector search engine that can easily scale up to
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by wskish 3y ago
Here's 40 lines of python code that I've found to be unreasonably effective at accomplishing something similar: https://github.com/jiggy-ai/pydantic-chatcompletion/blob/mas...
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by wskish 3y ago
I wish more hardware products supported the "embedded airtag" feature enabled by the Apple Find My program that enables 3rd party manufactures to effectively embed airtags into their products. https://mfi.apple.com
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Show HN: Easy data extraction from text with Pydantic and OpenAI(github.com)
3 points by wskish 3y ago|0 comments

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