excels in developing cutting-edge solutions and envisions transforming industries as a machine learning futurist and automation expert.

Phase 6: Future of AI Agent Architecture through: - Chain-of-thought processing for complex problems - Step-by-step evaluation of solutions - Dynamic tool selection based on tasks - Goal-oriented …

67% of RAG systems retrieve junk.

DCAS

Langmem

The Transformer is a neural network architecture that utilizes self-attention mechanisms to process sequences in parallel, revolutionizing tasks like language modeling and translation by capturing …

TPFL

EV batteries, motors, and inverters must comply with rigorous safety standards (e.g. UL, IEC 61851/62196, ISO 26262 for functional safety). Battery certification (by bodies such as ARAI in India or…

Data engineering involves designing, building, and maintaining systems that collect, store, and process large volumes of data to make it accessible and reliable for analysis. It focuses on developi…

Zahra (Nasrin) Taghiyarrenani

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Implicit neural representations have emerged as a powerful paradigm to represent signals such as images and sounds. This approach aims to utilize neural networks to parameterize the implicit functi…

VWITS TechRoadShow 2025'FEB

Retrieval-Augmented Generation

llama conversational /langdrive

fun stuff

colab sample simulation+qwhale use case

Reasoning chatter

Server Client Deployment and Load Balancing

Combining high learning rates with selective unlearning could open new avenues for efficient and intelligent neural network training.

Database and System Design

Developed By "Perfect Cube" - https://doi.org/10.36948/ijfmr.2025.v07i01.34840

just adding all important stuff at one place for quick revision #examTime

Cache-Augmented Generation