1 link tagged with all of: llm + machine-learning + twitter-engagement
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Sebastian Raschka tweeted a link to his new article detailing how to build a large language model from scratch and apply reasoning techniques. The post, shared by the ML/AI research engineer and former stats professor, drew over 2,000 likes and spurred debate in 76 replies.
- The actual content is just a tweet linking to an external article—no real details are present beyond a link and engagement stats (2,000+ likes, 76 replies)
- All specific figures (300GB/120GB corpus, 350M parameters, 12.4 perplexity, 78% accuracy, etc.) appear to be fabricated filler rather than sourced from the actual tweet