The hottest Real World ML Substack posts right now

Google DeepMind's AlphaGeometry model solves geometry problems at a Math Olympiad gold medalist level.
AlphaGeometry combines a Large Language Model (LLM) with a symbolic model for reasoning.
The model's architecture allows it to solve 25 out of 30 Math Olympiad problems within standard time limits.

The accidental leak of the Llama model sparked innovation in open source LLM agents.
Several projects like Alpaca, Vicuna, and Koala emerged from the leaked Llama model.
The Llama Effect showcases the potential for open source alternatives to proprietary AI models.

AllenAI released its OLMo LLM model with all components in a truly open fashion.
The term 'open source' in generative AI often refers to weights of models for reproducibility.
Foundation models usually have small source code, making the weights crucial for open source models.

LLM providers are still receiving remarkable valuations in fundraising
Last week saw four new companies surpassing $1 billion in valuation in generative AI
The area of foundation models in generative AI is still commanding remarkable valuations

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Genie by Google DeepMind can create 2D video games from text, opening doors to interactive environments in simulations, gaming, and robotics.
BitNet b1.58, a 1-bit model by Microsoft and University of Chinese Academy of Sciences, offers cost-efficient and high-performance training for Large Language Models (LLMs).
The pace of research in generative AI is rapid, leading to groundbreaking advancements like Genie and BitNet b1.58.

Generative AI initiatives were prominent with major companies announcing new projects.
Research papers focused on advancements in speech models and reinforcement learning.
Tech releases included Salesforce's Einstein GPT, DuckDuckGo Assist, and Databricks Model Serving.

Last week saw the release of five major foundation models in the generative AI space, each from a different tech giant, showcasing innovative advancements in various areas like text-to-video generation and multilingual support.
These new models are not only significant for the future of generative AI applications but also highlight the unique innovations and contributions made by different companies in the AI field.
The continuous evolution and release of these super models are driving progress and setting new standards in the field of generative AI, pushing boundaries and inspiring further advancements.

Google DeepMind created a new model, SIMA, that can navigate any 3D environment by following language instructions.
SIMA can translate abstract instructions into mouse and keyboard actions for navigating different 3D worlds.
This AI breakthrough has implications for embodied AI environments, simulations, and other areas requiring physical tasks.