Ramchand Kumaresan
PulseAugur coverage of Ramchand Kumaresan — every cluster mentioning Ramchand Kumaresan across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New Tamil-first LLM, Agaram 2.5B, released with tool-calling capabilities
Researchers have developed Agaram 2.5B, a new language model specifically designed for Tamil, trained from scratch on a dataset with a majority of Tamil text. This model demonstrates improved translation capabilities co…
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Book on building LLMs from scratch featured on Leanpub
A book titled "Under The Hood: Build Every Layer of a Large Language Model from Scratch" by Ramchand Kumaresan is being featured on Leanpub. This book is described as a bestselling, practical, and project-driven manual …
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Book "Under The Hood" by Ramchand Kumaresan on sale for $19.99
Ramchand Kumaresan's book "Under The Hood" is currently available at a discounted price of $19.99 on Leanpub. The suggested retail price for the book is $35.00. A promotional coupon code is provided for this special offer.
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Book on building LLMs from scratch featured on Leanpub
A book titled "Under The Hood: Build Every Layer of a Large Language Model from Scratch" by Ramchand Kumaresan is being featured on Leanpub. This book is described as a bestselling, practical, and project-driven manual …
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New rule predicts when evolutionary outer loops are not worth the cost
Researchers have developed a new screening rule to predict whether an evolutionary outer loop for neural network optimization will be beneficial. This rule, computed before implementation, assesses a ratio of single-sho…
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New Book Details Building Large Language Models From Scratch
Ramchand Kumaresan has launched a new book titled "Under The Hood: Build Every Layer of a Large Language Model from Scratch" through Leanpub. The book aims to guide readers through the process of constructing all the co…
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Apple M4 Max GPU's Tensor Compute Path Emulated, Not Accelerated
Researchers have reverse-engineered the Metal 4.1 tensor compute path on Apple's M4 Max GPU, revealing that the fp8 matmul2d operation is emulated rather than hardware-accelerated. This means the operation runs on the G…