fredliu

6 ms·

1.
by fredliu 2mo ago
This is one of the few places with consistent, high-quality setup instructions for essentially every major AI provider in one place — American frontier labs (OpenAI, Anthropic, Google, xAI), Chinese labs (DeepSeek, Alibaba/Qwen, Moonsh
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Setup instructions for every major AI provider – US, Chinese, and local(big-agi.com)
2 points by fredliu 2mo ago|1 comments
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by fredliu 2mo ago
LLM: Attention is all you need. Human: Attention is all we have. We should be careful where we spend our limited attention on.
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by fredliu 3mo ago
Thanks for the encouragement! Yes, he's been sharing with his friend family groups. Early feedbacks are pretty good, he's ecstatic that he can actually make this happen!
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Show HN: The Sword of Ghix – a retro game made by a 13 yo with AI Assisted tools(paulinatorrr.itch.io)
4 points by fredliu 3mo ago|2 comments
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by fredliu 7mo ago
We are in this transition period where we'll see a lot of these, because of the effort of creating "something impressive" is dramatically reduced. But once it stabilizes (which I think is already starting to happen, and this
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by fredliu 11mo ago
Definitely one of the most, if not THE most high quality AI UX out there. Congrats on the launch!
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by fredliu 2y ago
That's definitely my experience as well, sufficiently large context window with a capable enough general purpose LLM solves lots if not all of the problems rag/fine tuning claim to solve.
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by fredliu 2y ago
Yeah... So looks like at least it's still an open question. I guess until we can definitively know how "knowledge" is collectively represented among the weights, it's hard to say either way. The other part of the questio
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by fredliu 2y ago
Does anyone have real life experience (preferably verified in production environment) of fine-tuning actually adding new knowledge to the existing LLM in a reliable and consistent manner? I've seen claims that fine-tuning only adapt th
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by fredliu 2y ago
Would be curious to see if anyone find it really useful. I've tried both Copilot and Codewhisper (Amazon Q now) before, wasn't impressed and uninstalled both. Just tried Q in VSCode again, I can't figure out how to ask questi
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Beam: Better Decisions, Lower Risk, with Multi-Model AI Reasoning(big-agi.com)
2 points by fredliu 2y ago|1 comments
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by fredliu 2y ago
The Beam feature of bigAGI (IMO one of the best model provider agnostic GenAI UX) enables GenAI users to send same prompt to multiple GenAI models at the same time, and gives the user different approaches to examine, select and fuse the bes
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by fredliu 2y ago
got it!
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by fredliu 2y ago
Exactly my thought, as mentioned in the other thread, Chat's linear conversation style is not fit for reasoning/exploration type of tasks, while Beam's fan-out -> select --> merge is a much better and natural flow!
16.
by fredliu 2y ago
With Beam, we can easily experiment approaches such as Chain-Of-Though-with-Self-Consistency (CoT-SC) and other reasoning meta framework, but with more manual control. I always had issues using LLM's chat driven interface to figuring o
17.
by fredliu 2y ago
Awesome feature! Quick question, how do you choose which model to use when you "fuses" multiple beams back into one?
18.
by fredliu 3y ago
That's a great point. Just thinking out loud, if we can time travel back to the cavemen time, and assuming we speak their language, there would still be so much that we couldn't explain or they wont' be able to understand eve
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by fredliu 3y ago
I have small kids, toddlers, who can already speak the language but still developing their "sense of the world" or "theory of mind" if you will. Maybe it's just me, but talking to toddlers often reminds me of intera
20.
by fredliu 3y ago
Open source LLM generic frontend project such as bigAGI ( https://github.com/enricoros/big-agi ) has been having this feature for many months now. The good news: it even works with open source and local LLMs.
21.
by fredliu 3y ago
Isn't fountain code doing something similar? Albeit for slightly different purpose?
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by fredliu 3y ago
I might be wrong, but looks like this could help with speculative decoding which can already vastly improves the inference speed?
23.
by fredliu 3y ago
+1 modal.com is the first thing I checked after reading the readme.
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Show HN: LiveQuery GPT-4 – Chatbot with Real-Time Search(github.com)
3 points by fredliu 3y ago|1 comments
25.
by fredliu 4y ago
hmm... doesn't seem to be the case, when I provided my gpt-3 turbo key the error message indicates the gpt-4 model doesn't exist.
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by fredliu 4y ago
There seems to be already a PR for adding 3.5 support. The community and speed of change in this field is mind blowing!
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by fredliu 4y ago
It doesn't. Even if you have ChatGPT Plus, the key you have only supports 3.5 unless you are explicitly given the gpt-4 key.
28.
by fredliu 4y ago
Have been a fan of Elixir and its ecosystem for web dev. However, I haven't wrapped my head around the core value proposition behind Elixir's recent "pivot" to AI/numeric computing. Can someone shed more light on &q
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by fredliu 4y ago
The title might be hyperbole (intentionally), but the observations are more or less in line with what I experienced through a few the Big Data initiatives over the years under different enterprise environments (although I have reservation a
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by fredliu 5y ago
I would assume that chart is for the US or Western/Developed world. Maybe a more easier explanation for the phenomenon is: everything that can be oursourced/built in lower cost regions are getting cheaper (not many toys, cloths or

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