Learn With Jay on MSN

Transformer decoders explained step-by-step from scratch

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?
Learn With Jay on MSNOpinion

GPT architecture explained: How to build ChatGPT from scratch

In this video, we explore the GPT Architecture in depth and uncover how it forms the foundation of powerful AI systems like ...
eLife

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
WinBuzzer

Byteification: AI2’s New Bolmo AI Model Cuts AI Training Costs by 99%

AI2 has unveiled Bolmo, a byte-level model created by retrofitting its OLMo 3 model with <1% of the compute budget.
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
GitHub

Extending ops to support sub core grids for DRAM prefetcher

To integrate the DRAM prefetcher to TT transformers, ops must support being run on sub core grids, currently some ops used in Attention module do not support that or the logic for allocating on sub ...
IEEE

Transforming Disability Into Ability: An Explainable Vision-to-Voice Image Captioning Framework Using Transformer Models and Edge Computing

Abstract: Image captioning is an emerging field at the intersection of computer vision and natural language processing (NLP). It has shown great potential to enhance accessibility by automatically ...
IEEE

PrivTF: Efficient and Privacy-Preserving Transformer Inference With Optimized Protocols for Secure NLP

Abstract: As many natural language processing services employ language models like Transformer in the cloud, privacy concerns arise for both users and model owners. Secure inference is proposed in the ...