TLDR AI

TLDR AI 2024-01-25

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01GENERAL

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.

casemark.aiSponsor

02HEADLINES & LAUNCHES

EMBEDDING ENGLISH WIKIPEDIA IN 15 MINUTES

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.

modal.com18 min read

03RESEARCH & INNOVATION

DEEPDIVE: GETTING STARTED WITH MECHANISTIC INTERPRETABILITY

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.

neelnanda.io30 min read

FUYU-HEAVY MULTIMODAL MODEL OUTPERFORMS GEMINI PRO

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.

adept.ai6 min read

04ENGINEERING & RESOURCES

A NEW DATASET FOR MUSIC-AND-LANGUAGE MODEL EVALUATION

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.

github.comGitHub repository

IMPROVED DIALOG TRACKING WITH A NEW METHOD

This project presents a novel prompt pool method for dialog state tracking that adapts to new user requirements without needing task identities during testing.

github.comGitHub repository

AUDIO SYNTHESIS

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.

github.comGitHub repository

05MISCELLANEOUS

TENSORDICT

A great little utility that allows you to use dictionaries with tensors in PyTorch. It improves readability and usability of code while maintaining performance.

github.comGitHub repository

IF AI WERE CONSCIOUS, HOW WOULD WE KNOW?

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.

suzitravis.substack.com7 min read

EVALUATION METRICS FOR LLM APPLICATIONS IN PRODUCTION

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.

docs.parea.ai7 min read