Artificial Intelligence #193

Hey, in this issue: Artificial general intelligence is already here; AI language models can exceed PNG and FLAC in lossless compression; decoding speech from brain waves; how LinkedIn is using embeddings; coding Stable Diffusion from scratch in PyTorch; why do we need weight decay; and more.

The sponsors of this issue are Qdrant and Activeloop.

• Artificial general intelligence is already here
• AI language models can exceed PNG and FLAC in lossless compression, says study
• [Meta] Decoding speech from brain waves - a breakthrough in brain-computer interfaces
• How LinkedIn is using embeddings to up its match game for job seekers
• [Sponsored] High-performance, large-scale Vector Database for the next AI generation.

Qdrant is an open-source, high-performance Vector Database with extended filtering support. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Up to 64x less memory usage and 40x search speed-up. Self-hosted, managed in the cloud, or on-premise.

• [Video] Coding Stable Diffusion from scratch in PyTorch, with a full explanation of the math behind diffusion models
• [ArXiv] Why do we need weight decay in modern deep learning?
• [Sponsored] Learn to Train & Fine-Tune LLMs. 60+ Practical Lessons. Free Certification from Activeloop, TowardsAI, Intel?. Join Now
• Tiny language models thrive with GPT-4 as a teacher
• [Nature] How to spice up your bioinformatics skill set with AI

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