trash_cat

9 ms·

61.
by trash_cat 2y ago
I use Ollama because I am a casual user and can't be bothered to read the docs on how to setup llama.cpp. I just want to run a simple llm locally. Why would I care about Vulkan?
62.
by trash_cat 2y ago
So what is interesting here is that they managed to set up the reward model in such a simple and cost-effective way that CoT emerges as the most optimal strategy for solving math problems, without explicitly fine-tuning the model to do so.
63.
by trash_cat 2y ago
This is the whole premise behind transformers and ChatGPT models and has been discussed by Ilya[0]. [0] https://the-decoder.com/openai-co-founder-explains-the-secre...
64.
by trash_cat 2y ago
This is the new reality of the modern world. Absence of war does not equal to peace. Hybrid warfare is here to stay and will become a part of the global world.
65.
by trash_cat 2y ago
- But How Do It Know - Is an excellent book. I came quite far in re-creating the CPU using some logic game simulators. Highly recommend.
66.
by trash_cat 2y ago
> The biggest downside, however, is the rapid accumulation of technical debt. The code can get messy quickly. There's often a lot of redundancy and after a few iterations it can be quite daunting to modify. What stops you from using
67.
by trash_cat 2y ago
> You should consider what won’t change, and the following is a (non-exhaustive) list of things that I think won’t change: I believe AI is and will continue to gain intelligence I think this is a miss-representation of what he meant. Giv
68.
by trash_cat 2y ago
I agree with the premise that it is not the text stream or the coversation history that makes the ChatGPT useful - It is multifaceted. It's an interface, and also a intelligence at your disposal. Even if you took some abilities away fr
69.
by trash_cat 2y ago
I could not find the part III being posted on HN so I thought I would do it here. I think the strategy part is the most interesting of the 3 part series and would love to read the discussion here. Thanks.
70.
What We Learned from a Year of Building with LLMs (Part III)(oreilly.com)
3 points by trash_cat 2y ago|2 comments
71.
by trash_cat 2y ago
This is a company culture problem.
72.
by trash_cat 2y ago
Here is the answer from the Article: Family
73.
by trash_cat 2y ago
Here is the answer from the article: Family.
74.
by trash_cat 2y ago
It´s because Taylor Swift´s lates album uses a lot of ´delve´.
75.
by trash_cat 2y ago
If this would have been the most prestigious and highly regarded Art I wouldn´t be able to tell the difference.
76.
by trash_cat 2y ago
>> The problem is that you must understand that 95% in order to complete the last 5%. What stops you from using AI to explain the code base?
77.
by trash_cat 2y ago
What would be the applications of this that is different from regular transformers? Perhaps stupid question.
78.
by trash_cat 2y ago
I think this is called "Black Propaganda".
79.
by trash_cat 2y ago
Good write-up. Anyone want to give a definition of GGUF without using IBM's definition (also appears first in my search results)?
80.
by trash_cat 2y ago
> "Building a solution isn’t enough – it needs an obvious path forward" This is called implementation. You basically have people who work full time just on implementation plans and executions of it.
81.
by trash_cat 2y ago
As a European everything felt like being in a movie. Especially going through desert it felt like I travelled back in time. Literally Wild West. I got see forests, mountains, canyons, and desert all in the same ride. That's definately
82.
by trash_cat 2y ago
I did the California Zephyr and it was the most amazing any type of ride I have ever done. It was surreal. Do recommend.
83.
by trash_cat 2y ago
But this is unders the assumption that developing an optimal solution to a problem is not possible, which it is. This happens rarely though.
84.
by trash_cat 2y ago
"Disk And Executive MONitor" does sound kinda cool, though.
85.
by trash_cat 2y ago
Did Apple work when they launched the iPhone without the App store? It's a very similar question. There is this obsession to talk about tangible business value (and that its nowehere to be seen) despite OpenAI setting record for daily
86.
by trash_cat 2y ago
I think we can all agree on those points but this is a very superficial analysis. Now that the barriers to coding are lowered, will that increase or decrease supply, what types of new tasks (or job titles) will AI create? Everyone is getti
87.
by trash_cat 2y ago
But then how do you classify a task that the LMM performed, such as a summary? I think you are onto something here but it really depends on what task you want the LMM to perform, search, how to, summary, extraction etc...
88.
by trash_cat 2y ago
I can't tell if you are being sarcastic or not.
89.
by trash_cat 2y ago
semi-brick
90.
by trash_cat 2y ago
I think it REALLY depends on your use case. Do you want to brainstorm, clear out some thoughts, search or solve complex tasks?

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