NEWS IN BRIEF: AI/ML FRESH UPDATES

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Mitigating Model Collapse in AI with Synthetic Data

Synthetic data raises concerns of model collapse in AI development, but study may not reflect real-world practices and advancements. Omission of standard mitigation techniques and quality control in study limits applicability to industry scenarios.

Streamline Audio Program Management with Amazon Bedrock

Information retrieval systems are evolving with AI solutions like Amazon Transcribe and Amazon Bedrock to efficiently search through audio files at scale. These services simplify the process of transcribing audio, cataloging content, and creating embeddings for easy querying.

Scaling AI Training with RoCE Networks

AI networks interconnect GPUs for large-scale distributed training at Meta, using RDMA over Ethernet for high-performance communication. Specialized RoCEv2 networks support various AI workloads, including GenAI, ranking, and natural language processing, with a dedicated backend network for training clusters.

AI vs Tradition: The Future of Sound Clashes

Fake AI vocals, including Donald Trump's, disrupt the Montego Bay clash scene, sparking debates on the future of the culture. The use of AI vocalists challenges authenticity and originality in the historic Sumfest Global Sound Clash tradition.

Recreating NanoGPT with JAX: A Step-by-Step Guide

Summary: Learn how to build a 124M GPT2 model with Jax for efficient training speed, compare it with Pytorch, and explore the key features of Jax like JIT Compilation and Autograd. Reproduce NanoGPT with Jax and compare multiGPU training token/sec between Pytorch and Jax.