TLDR AI 2023-09-29

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% and more.

It's called Masterworks. When Masterworks sells a painting – like the 16 it's already sold – investors reap their portion of the profits.

Offerings can sell out in minutes, but TLDR AI readers can skip the waitlist to join.

Past performance is not indicative of future returns, Investing involves risk. See disclosures masterworks.com/cd

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.

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.

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.

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.

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.

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.

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.

InternLM-XComposer is a cutting-edge tool that can create articles with both text and images that fit perfectly together.

The MLOps Community’s LLMs in Production conference is happening on Tuesday, October 3rd. This is your last chance to hear from industry leaders who are building production AI apps, and enjoy priceless education and networking (for free!)

On the agenda: 40+ expert speakers, musical interludes, guided meditation, prompt injection games, and plenty of surprises. Sign up now to avoid FOMO later

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.

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.

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.

Google introduced a tool, Google-Extended, which enables website publishers to prevent their data from being used in Google's AI training while still appearing in Google Search results.

An AI-powered tool that simplifies document creation for personal and professional use.

Metaphor’s API lets you connect your LLMs to the internet, enabling powerful search and research capabilities. In a few lines of code, you can get high-quality search results as well as instant HTML content.