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православный is used in jargon for exactly that meaning. source: 45 years of native Russian speaking.
They are different. Gemma 3 12b excels at natural languages but terrible at long context. Pixtral 12b is better at long context (not stellar), but worse at natural language.
You can slightly improve output of non-thinking model if you add ad the end of prompt "output chain of though reasoning before outputting the result".
We are told that writing must be pure, that it must come only from the sweat of the brow, the trembling hand, the solitary mind. That to use AI is to cheat, to dilute, to lessen the act of creation. But I say to you:…
Whenever possible use local LLMs. You do need claude for everything.
they all degrade well before 1M tokens.
glm 4 (1 sec): To determine the cutoff frequency (fc ) for an RC circuit (since you've provided resistance R and capacitance C, but not inductance L), we can use the following formula: [.... calculation] So, the cutoff…
Not quite true. Depends on number of KV heads. GLM4 32b at IQ4 quant and Q8 context can run full context with only 20GiB VRAM.
Try to push your point to absurd you see why; hint - to analyze data pulled by tools you need knowledge already baked in. You have very limited context, you cannot just pull and pull data.
I have stopped using cloud models half a year ago. The meager intelligence local models, ones I can run on my machine, is already giving me a great deal of productivity boost.
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православный is used in jargon for exactly that meaning. source: 45 years of native Russian speaking.
They are different. Gemma 3 12b excels at natural languages but terrible at long context. Pixtral 12b is better at long context (not stellar), but worse at natural language.
You can slightly improve output of non-thinking model if you add ad the end of prompt "output chain of though reasoning before outputting the result".
We are told that writing must be pure, that it must come only from the sweat of the brow, the trembling hand, the solitary mind. That to use AI is to cheat, to dilute, to lessen the act of creation. But I say to you:…
Whenever possible use local LLMs. You do need claude for everything.
they all degrade well before 1M tokens.
glm 4 (1 sec): To determine the cutoff frequency (fc ) for an RC circuit (since you've provided resistance R and capacitance C, but not inductance L), we can use the following formula: [.... calculation] So, the cutoff…
Not quite true. Depends on number of KV heads. GLM4 32b at IQ4 quant and Q8 context can run full context with only 20GiB VRAM.
Try to push your point to absurd you see why; hint - to analyze data pulled by tools you need knowledge already baked in. You have very limited context, you cannot just pull and pull data.
I have stopped using cloud models half a year ago. The meager intelligence local models, ones I can run on my machine, is already giving me a great deal of productivity boost.
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