Sponsored
IN YOUR LEGALTECH SOFTWARE
For LegalTech Companies: Elevate your platform instantly with CaseMark’s Workflow API [7]. Seamlessly integrate our solution to offer AI-driven deposition, case, trial, and hearing summaries.
Parse notes
Sponsored
For LegalTech Companies: Elevate your platform instantly with CaseMark’s Workflow API [7]. Seamlessly integrate our solution to offer AI-driven deposition, case, trial, and hearing summaries.
Embeddings serve as the foundation for many AI use cases. They can be expensive and slow due to rate limits. This blog walks through using Modal to scale up the embedding process efficiently and correctly.
Google, the Weizmann Institute of Science, and Tel Aviv University have unveiled Lumiere, a space-time diffusion model for realistic video generation that promises more coherent motion and better quality compared to existing AI video models. It's not yet available for public testing.
Neel Nanda is one of the pioneers of Mechanistic Interpretability (MI). This is his guide to getting into the field. It features 200 concrete open questions. MI is the study of the quantitative values of language models (e.g., actually looking at neurons). It is accessible as it doesn’t require significant computation, and is extremely promising as a research direction, although there has been minimal success to date.
Adept scaled up its Fuyu architecture and trained a larger version that is currently the 3rd best model on MMMU. The model also performs well on other tasks (e.g., achieving 40+ on HumanEval coding benchmark). There were fewer challenges with scaling this architecture than alternatives, in part due to its simplicity. However, there were still challenges with data i/o, memory bandwidth, and custom kernel development.
HEDNet is a new encoder-decoder network designed to enhance 3D object detection in autonomous vehicles, specifically addressing the challenge of sparse point distribution in 3D scenes.
The Song Describer dataset features over a thousand human-written descriptions of music recordings. This new dataset aids in evaluating music-and-language models through tasks like music captioning and text-to-music generation.
This project presents a novel prompt pool method for dialog state tracking that adapts to new user requirements without needing task identities during testing.
DiffMoog is a new audio technology that combines the versatility of a modular synthesizer with the power of neural networks. It allows for automated sound matching and custom sound creation, making it a valuable tool for audio synthesis.
A great little utility that allows you to use dictionaries with tensors in PyTorch. It improves readability and usability of code while maintaining performance.
The Turing Test and Searle's Chinese Room Thought Experiment are often cited in the discussion of AI consciousness, with the former testing if an AI's behavior is indistinguishable from a human's and the latter arguing that external behavior alone cannot prove consciousness. This debate highlights the difficulty in defining and recognizing consciousness in AI, as our understanding is primarily based on human experiences and functionalist approaches.
This article discusses evaluation metrics that don't rely on ground truth data. It explores general-purpose as well as RAG, chatbot, and summarization-specific evaluations. All metrics come with a Python implementation.
Apple is intensifying its focus on AI for the iPhone, acquiring numerous AI companies, and increasing AI job postings.
BreezeML is an AI governance platform that enables compliance teams to specify and continually monitor governance policies over every AI workflow in its organization without relying on manual and tedious coordination with data science teams.
Researchers have explored asynchronous Local-SGD (a variant of federated averaging) for training language models.