Technical/Dev

Moore’s law is coming to an end. Extropic AI is pioneering the next-gen system for end-to-end neural information processing at the thermodynamic limits of computing.

Check out our International Conference on Learning Representations [oral] paper on learning state-of-the-art ViTs from a single video from scratch!  One of the coolest things is that multi-object tracking emerges from the different heads in the plain ViTs (three heads visualised below in R,G,B).

Introducing our new flagship LLM, Nous-Hermes 2 on Mixtral 8x7B. 

Our first model that was trained with RLHF, and the first model to beat Mixtral Instruct in the bulk of popular benchmarks!

What is Low-Rank Adaptation (LoRA) | explained by the inventor

More and more evidence that “running out of human-made training data” is not going to be the thing that stops LLM development.

Portkey’s AI Gateway is the interface between your app and hosted LLMs. It streamlines API requests to OpenAI, Anthropic, Mistral, LLama2, Anyscale, Google Gemini and more with a unified API

Hidden Changes in GPT-4, Uncovered

State-of-the-art Code Generation with AlphaCodium – From Prompt Engineering to Flow Engineering

8bit HippoAttention: Up to 3X Faster Compared to FlashAttentionV2

Be Sure To Read “This Week in AI

This week’s executive overview and top links are here:
AI News #16: Week Ending 01/19/2024 with Executive Summary and Top 16 Stories

This is an extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

Credits/Sources

Most of these links come from just a few incredible sources.  Please follow them:

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