TLDR AI

TLDR AI 2023-12-11

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01GENERAL

Sponsored

SOLVING THE ENTERPRISE DATA BOTTLENECK WITH SYNTHETIC DATA

AI/ML, research, and development teams are blocked by a solitary point of failure—lack of fast access to high-quality data [5]. When data is unavailable, of low quality, or contains sensitive information, developers can’t use it to build. The result: data doesn’t reach the teams who need it most — and innovation suffers. Gretel [5] provides the end-to-end tools for generating, evaluating, and operationalizing synthetic data for diverse enterprise use cases. Download the solution brief [5] to learn how Gretel and synthetic data can solve the data bottleneck for your dev team [5].

info.gretel.aiSponsor

02HEADLINES & LAUNCHES

MISTRAL'S NEW MODEL AND NEW FUNDING

The 8-month-old AI group is set to raise $400m+ in a new round. It also released an 8x7B Mixture of Experts model which is currently being evaluated by the community.

ft.com7 min read

GOOGLE UNVEILS ALPHACODE 2, POWERED BY GEMINI

Google's DeepMind has released AlphaCode 2, an improved code-generating AI model that outperforms 85% of human competitors in programming contests, showcasing advanced capabilities in solving complex mathematical and theoretical computer science problems.

techcrunch.com2 min read

STABILITY AI LAUNCHES STABLELM ZEPHYR 3B

StableLM Zephyr 3B, a new 3 billion parameter chat model, is being released as an extension of the StableLM 3B-4e1t model, drawing inspiration from the Zephyr 7B model. It is designed for efficient text generation, particularly in instruction following and Q&A contexts, and has been fine-tuned on multiple datasets using the Direct Preference Optimization algorithm.

stability.ai2 min read

03RESEARCH & INNOVATION

BETTER, CHEAPER, FASTER ALIGNMENT WITH KTO

Most alignment frameworks require ranked preference data (A is preferred to B). This is usually expensive and rare. This new framework only requires an independent yes or no rating per data point.

contextual.ai12 min read

STRIPEDHYENA 7B MODEL

Transformer models have dominated the AI landscape recently. They are powerful sequence learners but have some drawbacks. This new work, which builds on state space models, shows that new architectures can bring great benefits like increased context length.

together.ai15 min read

04ENGINEERING & RESOURCES

UNDERSTANDING 100X SPEED UP IN LLM INFERENCE

With open models becoming useful for many enterprise tasks, people are starting to explore deployment optimizations. However, the landscape is complex and scattered. This post is a nice deep dive into many of the standard techniques used to speed up language model serving.

yaofu.notion.site38 min read

PEARL

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

github.comGitHub repository

MULTI-CONDITIONAL DIFFUSION MODEL FOR SCENE SYNTHESIS

Scene creation, guided by factors like human movement or room design, gets a fresh angle by integrating textual prompts. This repo introduces a novel approach, a multi-conditional diffusion model, that efficiently merges text, movement, and existing objects.

github.comGitHub repository

05MISCELLANEOUS

EXCUSE ME, BUT THE INDUSTRIES AI IS DISRUPTING ARE NOT LUCRATIVE

Google's Gemini AI model, despite an impressive demo video, saw only a minimal stock increase for Google, reflecting skepticism about its real-time capabilities as the demo used pre-recorded footage and edited responses. This skepticism mirrors broader concerns in the AI industry, where companies create high expectations but face challenges in translating AI capabilities into substantial economic gains, with current AI models excelling in areas that don't necessarily yield high financial returns.

theintrinsicperspective.com12 min read

RUNNING LLMS LOCALLY WITH OLLAMA

Ollama is like a package manager around llama cpp models. It has quality-of-life usability features and makes it easy to run models, even on a CPU. This example shows how to run two great models, Dolphin and Samantha, which are excellent unfiltered models useful for conversational tasks.

erichartford.com4 min read

LLM VISUALIZATION

This site looks at how the nano-gpt model, which has 85,000 parameters, sorts a sequence of six letters into alphabetical order.

bbycroft.netTool