►Recent Highlights from the Previous Thread: >>106328686

--Paper: ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine:
>106330668 >106330747 >106330790 >106330864
--Large batch training inefficiency and the case for small batch, high-precision updates:
>106332874 >106332934 >106332982 >106333013 >106332954 >106333617 >106333832 >106333878 >106333960 >106334268 >106334327 >106334383 >106334403 >106334456 >106334572 >106334708 >106334726 >106334757 >106334769 >106334787 >106334796 >106334806 >106334694 >106333892 >106334071 >106334144 >106334179 >106333052 >106333065
--Debating batch size scheduling and unchallenged assumptions in model training:
>106333979 >106334055 >106334169
--DeepSeek-V3.1 model card update: 840B token pretraining with long context focus:
>106332741 >106332841 >106333056
--V100 for local LLM use debate and shift to modern hardware:
>106328758 >106328807 >106328840 >106328910 >106328917 >106328937 >106328957 >106328985 >106329009 >106329041 >106329074 >106329139 >106329153 >106329189 >106329204 >106329227 >106329241 >106329250 >106329293 >106329261 >106329238 >106329252 >106329286 >106329345 >106329369 >106329377 >106329209 >106329108 >106329462 >106329485 >106329543 >106329547 >106329573 >106329544 >106329579 >106329610 >106329655 >106329802 >106329832 >106329683 >106333471 >106329593 >106330691 >106330717 >106330727
--LLM reasoning utility for roleplay and math performance:
>106331131 >106331167 >106331174 >106331240 >106331314 >106331385 >106331464 >106332167 >106332171 >106332187 >106331172 >106331182 >106331201 >106331388 >106331413
--AI hype bubble bursting and comparisons to past speculative crashes:
>106330193 >106330209 >106330218 >106330261 >106330281 >106332784 >106333201 >106330660 >106331554 >106331571 >106333293 >106333429 >106332746 >106333211
--Miku (free space):


►Recent Highlight Posts from the Previous Thread: >>106328695

Why?: 9 reply limit >>102478518
Fix: https://rentry.org/lmg-recap-script