TLDR AI

TLDR AI 2023-09-29

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01GENERAL

Sponsored

AND PROFITED

When incredibly valuable assets come up for sale, it's typically the wealthiest that end up taking home an amazing investment. But not always... One platform is taking on the billionaires at their own game, fractionalizing prized blue-chip artworks for its investors. In just the last few years, its investors have realized annualized net returns of 17.8%, 21.5%, 35%

masterworks.comSponsor

02HEADLINES & LAUNCHES

CHROMA X GOOGLE FOR BUILDING ON PALM

Chroma is a leading vector database for storing embeddings for AI applications. They've partnered with PaLM to build applications on top of the flagship Google model.

trychroma.com2 min read

WITH A16Z GP KRISTINA SHEN

We all know SaaS is going to be impacted by AI but the question is what is the next wave going to look like? This in-depth discussion with Kristina Shen goes into why it’s more about insights than information and unlocking the real power of AI for SaaS.

saastr.com7 min read

NEW FORETHOUGHT TOOL LETS YOU BUILD WORKFLOWS WITH NATURAL LANGUAGE

Forethought unveils "Autoflows", a new AI-driven system for customer service tasks that goes beyond simple Q&A. Using natural language prompts, Autoflows determines steps and tasks across systems, differing from traditional no-code workflows. Powered by SupportGPT, which is based on OpenAI models, the system blends automation and human oversight.

techcrunch.com2 min read

03RESEARCH & INNOVATION

META'S TEXT TO IMAGE MODEL

Pre-trained on 1.1B image pairs and fine-tuned on just a few thousand highly curated images, Emu image generation outperforms SDXL in user preference surveys. It acts as the backbone to much of Meta’s new AI assistant play.

ai.meta.com6 min read

SIMPLIFYING VQ-VAE

VectorQuantized-VAEs are typically the state of the art when trying to learn a specific discrete representation (e.g., tokens or codes). However, they are usually complex and fragile. This new paper proposes a simple quantization scheme that eliminates codebook collapse and complicated machinery such as commitment losses, codebook reseeding, code splitting, entropy penalties, etc.

arxiv.org30 min read

JOINTLY TRAINING LARGE MULTIMODAL MODELS

Models are usually trained separately on specific tasks (e.g., language vs image generation). The newly proposed joint autoregressive mixture (JAM) algorithm combines disparate models with a clever interleaved cross attention and gentle fine-tuning achieves dominant performance in many multimodal tasks.

arxiv.org23 min read

04ENGINEERING & RESOURCES

Sponsored

LLMS IN PRODUCTION

The MLOps Community’s LLMs in Production conference

home.mlops.communitySponsor

SIGLIP CHECKPOINTS RELEASED BY GOOGLE

Joint embedding models combine two data types into a single space. CLIP is a popular one for images and text. Recently, Google researchers proposed a Sigmoid CLIP model which performed very well and was Vision Transformer based. They've now released more information about the models and updated their code and paper.

github.comGitHub repository

05MISCELLANEOUS

A LEADER'S GUIDE TO GENERATIVE AI IN THE WORKPLACE

For technical leaders, embracing generative AI in the workplace brings a wealth of opportunity to drive productivity and transformation. It also means leaders need to consider how to design meaningful career pathways for team members. Workera’s guide shows leaders how they can do it.

20797751.fs1.hubspotusercontent-na1.net20 min read

WHITE HOUSE COULD FORCE CLOUD COMPANIES TO DISCLOSE AI CUSTOMERS

The White House may mandate cloud companies to report large-scale computing purchases, targeting potential foreign AI threats. Critics cite surveillance concerns and changing compute costs. Entities like Microsoft and OpenAI support similar oversight measures.

semafor.com4 min read

ANTHROPIC PARTNERS WITH BCG

Anthropic has partnered with Boston Consulting Group (BCG) to offer their AI assistant, Claude, to BCG customers globally. This collaboration focuses on responsible AI deployment, with use cases including market research, fraud detection, and business analysis. Both entities aim to establish a new standard for ethically deployed enterprise AI.

anthropic.com2 min read