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nateb2022
13,199karma·1,783submissions·January 4, 2022
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Computer/Software Engineer & Mathematician.
meet.hn/city/38.8950982,-77.0363849/Washington
__ Location
Washington, DC, USA
Discord: .gnu.
Email: 6mac0wobz@mozmail.com (resume available upon request)
- Systems and embedded engineering, with expertise in VHDL for hardware description and FPGA design
- Software development in C++, Go, Rust, TypeScript/JavaScript, and Python
- IEEE Nanotechnology Council
- IEEE Systems Council
- Analog systems
- Kernel development, focusing on Linux ABI design and optimization
- Low-level GPU driver architecture and hardware-accelerated computation
- ASIC development and methodology
- Hiking
- Pizza
- Volleyball
- Weightliftingrecent activity (1,783 total)
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Personally I find the unavailability of more widespread fast chargers the main issue, especially on roadtrips.
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https://github.com/icurtis1/off-axis-sneaker
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[dupe] https://news.ycombinator.com/item?id=46681153 (21 hr ago, 92 pt, 58 comments)
4 pts
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> Zero-shot means zero-retraining, so think along the lines of "Do you need to modify the weights? Or can you keep the weights fixed and you only need to supply an example?" I would cauti…
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> Right... And you have 0-shot prompts ("give me a list of animals"), 1-shot prompts ("give me a list of animals, for example: a cat"), 2-shot prompts ("give me a list of a…
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Hmm, for real estate and car dealers we may see a market segmentation effect. Past a certain price point, both for real estate and cars, a buyer is paying almost as much for the "feeling"&#x…
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The confusion clears up if you stop conflating contextual conditioning (prompting) with actual Learning (weight updates). For LLMs, "few-shot prompting" is technically a misnomer that stuck;…
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> That's not what happens in zero-shot voice cloning It is exactly what happens. You are confusing the task (classification vs. generation) with the learning paradigm (zero-shot). In the voice…
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Providing inference-time context (in this case, audio) is no different than giving a prompt to an LLM. Think of it as analogous to an AGENTS.md included in a prompt. You're not retraining the mod…
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> So if you get your target to record (say) 1 hour of audio, that's a one-shot. No, that would still be zero shot. Providing inference-time context (in this case, audio) is no different than g…
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> Zero-shot doesn't make sense anyway, as how would the model know what voice it should sound like (unless it's a celebrity voice or similar included in the training data where it's …
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> This generic answer from Wikipedia is not very helpful in this context. Actually, the general definition fits this context perfectly. In machine learning terms, a specific 'speaker' is …
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44 refers to Fedora version 44