TLDR AI

TLDR AI 2024-10-28

6 sections21 entrieslinks blockcomplete parse

Parse notes

  • Subscription/account footer truncated before parsefooter_truncated

01GENERAL

Sponsored

ONBOARDING IN 2024 📖

Struggling with onboarding? 35% of HR professionals are grappling with the same issue: new employees are simply getting lost in the “sink or swim” approach.

bamboohr.comSponsor

02HEADLINES & LAUNCHES

WAYMO RAISES $5.6B

Waymo's driverless taxi service is well-loved. The company has raised extra capital to expand beyond the several cities and millions of miles already in operation.

waymo.com8 min read

AI JEWELRY

Arcade AI has built a generative product platform for creating unique and quality jewelry items from text prompts. The best part is, you can buy what you prompt.

techcrunch.com5 min read

03RESEARCH & INNOVATION

EVALUATING FEATURE STEERING

How do you evaluate the ability and efficacy of feature steering? Anthropic experimented with Golden Gate Claude earlier this year. It found that many features, especially similar safety ones, share common ranges for control.

anthropic.com21 min read

CROSSCODERS

Crosscoders are an extension of sparse autoencoders that can be used to better understand internal mechanisms of language models.

transformer-circuits.pub25 min read

04ENGINEERING & RESOURCES

NOTEBOOKLLAMA

Meta has released a quick start guide to recreate a basic version of the very popular NotebookLM system from Google.

github.comGitHub repository

CHART REASONING IN MLLMS

Code-as-Intermediary Translation (CIT) is a novel method for enhancing visual reasoning in multimodal language models (MLLMs) that uses code to translate chart visuals into text.

github.comGitHub repository

A PROBABILISTIC VISION-LANGUAGE MODEL

Probabilistic Language-Image Pre-training (ProLIP) is a vision-language model (VLM) that learns from image-text pairs probabilistically. Unlike traditional models that assume a strict one-to-one match, ProLIP captures the many-to-many relationships in real-world data.

arxiv.org18 min read

05MISCELLANEOUS

META INTRODUCES SPIRIT LM OPEN SOURCE MODEL THAT COMBINES TEXT AND SPEECH INPUTS/OUTPUTS

Meta has launched an open-source multimodal language model designed to integrate text and speech inputs and outputs with expressive, natural-sounding speech capabilities. Meta Spirit LM aims to outperform existing voice AI by using phonetic, pitch, and tone tokens to enhance emotional expression and maintain natural expressiveness in tasks like ASR, TTS, and speech classification.

links.tldrnewsletter.com5 min read

HOW I STUDIED LLMS IN TWO WEEKS: A COMPREHENSIVE ROADMAP

This article outlines a 14-day learning roadmap to understanding LLM fundamentals that covers topics like self-attention, hallucination, and advanced techniques like Mixture of Experts. It includes resources on building an LLM from scratch, various literature, and online materials, all compiled in a GitHub repository. The article emphasizes a personalized learning approach and highlights the importance of foundational math, programming, and deep learning concepts.

links.tldrnewsletter.com9 min read

IBM DEBUTS OPEN SOURCE GRANITE 3.0 LLMS FOR ENTERPRISE AI

IBM is expanding its enterprise AI offerings with the new Granite 3.0 LLMs, focusing on open-source solutions and performance. These models, available on multiple platforms, include safety features and are tailored for various enterprise use cases. IBM emphasizes the importance of real open-source licensing with Apache 2.0 to enable flexible enterprise adoption and innovation.

links.tldrnewsletter.com6 min read