seunosewa

9 ms·

181.
by seunosewa 2y ago
I thought he was doing something like that already.
182.
by seunosewa 2y ago
I think that people figure out what LLMs are capable of doing well pretty quickly after they start using them. I'd say that their capabilities are underestimated by many people who once tried to use non-reasoning LLMs to do things that
183.
by seunosewa 2y ago
You're right but then in that mode it's no longer cheap.
184.
by seunosewa 2y ago
He found the one thing that Gemini does better.
185.
by seunosewa 2y ago
In VS Code Copilot you have to approve every change manually when you apply to from the chat.
186.
by seunosewa 2y ago
The thought stream is part of the charm. It's very educative and helps a lot with prompting.
187.
by seunosewa 2y ago
The thought-stream is very important to me as well.
188.
by seunosewa 2y ago
You're conflating the low price of the o3-mini medium effort model with the high performance of the o3-mini high effort model. OpenAI hasn't listed the price for the o3-mini high effort model separately on their pricing page.
189.
by seunosewa 2y ago
And buildings constructed with wood?
190.
by seunosewa 2y ago
The behaviour you described is what happens when you have small context windows. Perhaps you're feeding the models with more tokens than you think you are. I have enjoyed loading large codebases into AI Studio and getting very satisfyi
191.
by seunosewa 2y ago
It has a 64k context window. O1 has 128k Claude has 200k or 500K
192.
by seunosewa 2y ago
The thinking steps for o1 have been recently improved.
193.
by seunosewa 2y ago
It is an unacceptable outcome. Processes should be changed so it cannot happen again
194.
by seunosewa 2y ago
Interesting that you can get good performance with existing models. What are your project's most impressive application success stories?
195.
by seunosewa 2y ago
How many tokens/s?
196.
by seunosewa 2y ago
They are high in fibre and can thicken the fluid in the stomach. Maybe that's how they help.
197.
by seunosewa 2y ago
He should spend more time with his family since he already left his partner.
198.
by seunosewa 2y ago
Then you'll have to memorize a lot of long numbers.
199.
by seunosewa 2y ago
Dairy cows convert calories to milk at over 24% efficiency. And you still get the meat.
200.
by seunosewa 2y ago
It's for safety.
201.
by seunosewa 2y ago
I'm sure that they did their research before making the big move.
202.
by seunosewa 2y ago
The article doesn't properly explain how DRAM is different from SRAM. DRAM has to constantly refresh itself in order not to 'forget' its contents.
203.
by seunosewa 2y ago
Wouldn't that cause jelly scrolling in landscape mode?
204.
by seunosewa 2y ago
Additional answer: we generate more text every day.
205.
by seunosewa 2y ago
The acidity is temporary. The organic acids in the peels are eventually metabolized by the fauna and converted to carbon dioxide.
206.
by seunosewa 2y ago
What kind of queries were difficult in the structured query language?
207.
by seunosewa 2y ago
You'll be long gone before they find out.
208.
by seunosewa 2y ago
This won't prevent their major rivals - cloud companies like Google with deep pockets - from competing with them. It only hurts the little startups and SMEs.
209.
by seunosewa 2y ago
That's an unfortunate choice. AMD has excelled in making compatible hardware. Not so much software success, if any.
210.
by seunosewa 2y ago
You should not dismiss all LLMs unless you have tried the best one. Gemini is not the best LLM. Try Meta AI, which is free, and ChatGPT premium first.

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