SambaNova Systems achieves a new AI efficiency record with Samba-CoE v0.2 and announces the upcoming Samba-CoE v0.3. Researchers introduce layer-pruning for efficient LLMs. A groundbreaking method called Jacobian-free Backpropagation revolutionizes training implicit networks. Plus, explore the potential of automatic neural architecture search in AI development.
Sources:
https://www.marktechpost.com/2024/03/28/sambanova-systems-sets-new-artificial-intelligence-ai-efficiency-record-with-samba-coe-v0-2-and-upcoming-samba-coe-v0-3-beating-databricks-dbrx/
https://www.marktechpost.com/2024/03/28/efficiency-breakthroughs-in-llms-combining-quantization-lora-and-pruning-for-scaled-down-inference-and-pre-training/
https://medium.com/@monocosmo77/different-applications-of-the-jacobian-matrix-for-machine-learning-models-part3-3434dc2f88ef
https://datascientest.com/en/automatic-search-for-neural-architecture-all-you-need-to-know
Outline:
(00:00:00) Introduction
(00:00:45) SambaNova Systems Sets New Artificial Intelligence AI Efficiency Record with Samba-CoE v0.2 and Upcoming Samba-CoE v0.3: Beating Databricks DBRX
(00:03:37) Efficiency Breakthroughs in LLMs: Combining Quantization, LoRA, and Pruning for Scaled-down Inference and Pre-training
(00:07:41) Different applications of the Jacobian matrix for Machine Learning models part3
(00:10:18) Automatic search for neural architecture: All you need to know
view more