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Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 147 -
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Paper β’ 2307.08691 β’ Published β’ 10 -
Mixtral of Experts
Paper β’ 2401.04088 β’ Published β’ 162 -
Mistral 7B
Paper β’ 2310.06825 β’ Published β’ 63
Snehasish Barman
sbarman25
AI & ML interests
Machine Learning for Health, AI, Distributed Systems
Organizations
None yet
LLM Related
π« Glossary
https://osanseviero.github.io/hackerllama/blog/posts/hitchhiker_guide/
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper β’ 2401.02038 β’ Published β’ 66 -
Learning To Teach Large Language Models Logical Reasoning
Paper β’ 2310.09158 β’ Published β’ 1 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper β’ 2311.00176 β’ Published β’ 9 -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper β’ 2308.09583 β’ Published β’ 8
Training & Architectures
-
Attention Is All You Need
Paper β’ 1706.03762 β’ Published β’ 147 -
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Paper β’ 2307.08691 β’ Published β’ 10 -
Mixtral of Experts
Paper β’ 2401.04088 β’ Published β’ 162 -
Mistral 7B
Paper β’ 2310.06825 β’ Published β’ 63
LLM Related
π« Glossary
https://osanseviero.github.io/hackerllama/blog/posts/hitchhiker_guide/
-
Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper β’ 2401.02038 β’ Published β’ 66 -
Learning To Teach Large Language Models Logical Reasoning
Paper β’ 2310.09158 β’ Published β’ 1 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper β’ 2311.00176 β’ Published β’ 9 -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper β’ 2308.09583 β’ Published β’ 8
models 0
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datasets 0
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