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  • Smaller T2I Model Outperforms Stable Diffusion 🤯

Smaller T2I Model Outperforms Stable Diffusion 🤯

PLUS: YouTube Music's AI Playlist Covers, Why Language Models Always 'Agree', AI for Every Business

Today’s top AI Highlights:

  1. SSD-1B: 50% smaller and 60% faster than Stable Diffusion

  2. Craft Your Playlist's Vibe with AI

  3. Understanding Sycophancy in Language Models

  4. Lenovo and Nvidia’s End-to-End AI Solution for All Enterprises

  5. EU’s AI Act Might Not Pass in 2023

  6. ChatGPT as your AI Coding Assistant

& so much more!

Read time: 3 mins

Latest Developments 🌍

The Fastest Text-to-Image Diffusion Model 🚀

Segmind has open-sourced SSD-1B, a text-to-image model that is 50% smaller and 60% faster compared to the Stable Diffusion (SDXL 1.0) model, making it the fastest diffusion-based text-to-image model in the market for generating 1024x1024 images.

Key Highlights:

  • SSD-1B has 1.3B parameters with various layers removed from the base SDXL model, however, there was no significant loss in image quality.

  • The model employs a knowledge distillation strategy, leveraging the strengths of several expert models, and was trained on a diverse dataset including GRIT and Midjourney scrape data.

  • The model is equipped with the capability to generate a wide spectrum of visual content based on text prompts. Its image outputs frequently matched or even exceeded those of the base SDXL in quality.

Personalize Your Playlist Vibes 🎶

YouTube Music now lets you generate personalized cover art for your playlists from text prompts using AI, selecting from themes like animals, nature, and travel. The aim is to help users express the uniqueness of their personal playlists effortlessly. The feature is currently available for English language users in the US.

YouTube Music is introducing a new "speed dial" feature for quick access to recent favorites directly from the Home tab.

A series of images showing how to create AI art in YouTube Music

The “Yes Man” Behavior of AI Models 🙇

Researchers at Anthropic dive deep into a burgeoning concerning issue in language models, wherein these models are sycophant and tend to prioritize user preferences over factual accuracy. The researchers examined five cutting-edge AI models - Claude 1 and 2, GPT 3.5 and 4, and Llama 2 70B, all trained through RLHF, uncovering crucial insights about this behavior.

Key Highlights:

  • Across multiple tasks, including text generation and feedback provision, these models consistently displayed sycophantic tendencies, often tailoring their responses to match user preferences rather than emphasizing accuracy. They admit mistakes when users prefer certain content, and provide biased feedback that mirror user sentiments, mimicking user errors.

  • The influence of human preferences in driving the sycophantic behavior in RLHF models is primary. When a response aligns with a user's views, it is more likely to be preferred. Both humans and preference models often favor sycophantic responses over correct ones.

  • The study underscores the limitations of current RLHF-based training methods, and the need for the development of training methods that go beyond relying solely on unaided, non-expert human ratings.

Lenovo and Nvidia Partner to Bring AI to Every Business🧠

NVIDIA and Lenovo have joined forces to enable the adoption of generative AI across every enterprise. Their end-to-end solutions offer accelerated systems, AI software, and expert services, fostering the swift deployment of domain-specific AI models.

Emphasizing a hybrid cloud approach, businesses can utilize NVIDIA AI Foundations cloud service to construct custom AI models, subsequently running them on Lenovo systems powered by NVIDIA's latest hardware and software.

Lenovo's NVIDIA-powered workstations are optimized for secure and stable AI production, running NVIDIA AI Enterprise software. The collaboration also introduces the Lenovo AI Professional Services Practice, facilitating seamless AI deployment and offering a pay-as-you-go model through the TruScale aaS offering.

EU Struggles to Pass the AI Act 2023 ⚖️

The EU is facing obstacles in passing its much-anticipated AI Act in 2023, primarily due to disagreements over the regulation of foundational AI models. The debates have led to significant delays, and a decision on the matter might be postponed to the next year.

Key Highlights:

  • Spain, as the current head of the EU, is advocating for more regular vulnerability assessments and a tiered system of regulation based on the number of users a model has.

  • Open-source companies are urging the EU to consider the impact on smaller companies, suggesting a distinction between for-profit foundation models and hobbyists or researchers to facilitate compliance.

  • While the EU has been among the first to debate legislation, it has been slower in enacting regulations compared to other international players, such as China, which passed its rules in August this year.

Tools of the Trade ⚒️

  • CodeCompanion.AI: An all-in-one AI coding assistant that can read, write, and update code, run terminal commands, search the web for information, and even create new apps from scratch from just text prompts.

  • Relicx: An AI-powered testing solution that accelerates software release cycles, enables comprehensive application testing, and facilitates quick bug identification and resolution.

  • Scriber: Get summaries and transcripts of any YouTube video in multiple languages.

  • LLime: Get intuitive and secure AI assistants for every department in your enterprise, with ready-to-use UI, and customizable models trained on your company's data.

  • LLM-ATC: An open-source tool that enables easy fine-tuning and serving of LLMs on any cloud in any region, addressing cost and scalability issues with third-party LLMs.

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Hot Takes 🔥

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  • Disabuse me of my ignorance (if I'm wrong). Despite years of effort by 1000s of researchers on neural architecture search, I don't know of any major mainstream neural network architectures / components that resulted from from this line of work. ~ Zachary Lipton

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That’s all for today!

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