Meta's AI Segmentation Game Changer
Plus: Argilla brings LLM fine-tuning and RLHF to all, Apple's new AI-based features
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 35th edition of The AI Edge newsletter. This edition brings you Meta’s High Quality-Segment Anything model and more.
A huge shoutout to all our readers out there. We appreciate you! 😊
In today’s edition:
🚀 Meta’s new AI segmentation is game-changing
🎯 Argilla Feedback promises to boost performance of LLMs
🌟 Apple enters the AI race with new features
📚 Knowledge Nugget: GPT best practices by OpenAI
Let’s go!
Meta's AI Segmentation Game Changer
Meta’s researchers have developed HQ-SAM (High-Quality Segment Anything Model), a new model that improves the segmentation capabilities of the existing SAM. SAM struggles to segment complex objects accurately, despite being trained with 1.1 billion masks. HQ-SAM is trained on a dataset of 44,000 fine-grained masks from various sources, achieving impressive results on nine segmentation datasets across different tasks.
HQ-SAM retains SAM's prompt design, efficiency, and zero-shot generalizability while requiring minimal additional parameters and computation. Training HQ-SAM on the provided dataset takes only 4 hours on 8 GPUs.
Why does this matter?
Meta’s HQ-SAM addresses the limitations of the existing Segment Anything Model (SAM) in accurately segmenting objects with intricate structures. Moreover, HQ-SAM is trained on a relatively small dataset of 44,000 fine-grained masks, making it efficient regarding time and computational resources.
Argilla Feedback promises to boost performance of LLMs
Argilla Feedback is an open-source platform designed to collect human feedback and improve the performance and safety of LLMs at the enterprise level. It’s a critical solution for fine-tuning and Reinforcement Learning from Human Feedback (RLHF).
It simplifies the collection of human and machine feedback, making the refinement and evaluation of LLMs more efficient. The image below illustrates the different stages of training and fine-tuning LLMs, emphasizing where human feedback is incorporated and the expected outcomes at each stage.
Why does this matter?
Argilla Feedback emphasizes the importance of rigorous evaluation and human input in transitioning LLM experiments to real-world applications. Having a feature of adding unlimited users to Argilla can seamlessly distribute the workload among hundreds of labelers or experts within your organization.
The availability of powerful open-source foundation models and the potential impact of even small amounts of expert-curated data makes it feasible for companies of various sizes to incorporate human feedback for specific domains.
Apple enters the AI race with new features
Apple announced a host of updates at the WWDC 2023. Yet, the word “AI” was not used even once, despite today’s pervasive AI hype-filled atmosphere. The phrase “machine learning” was used a couple of times. (And AI is nothing but machine learning). However, here are a few announcements Apple made that use AI as the underlying technology.
Apple Vision Pro, a revolutionary spatial computer that seamlessly blends digital content with the physical world. It uses advanced ML techniques.
Upgraded Autocorrect in iOS 17 that is powered by a transformer language model for improved prediction capabilities.
Improved Dictation in iOS 17 that leverages a new speech recognition model to make it even more accurate.
Live Voicemail that turns voicemail audio into text on the fly, which is powered by a neural engine.
Personalized Volume, which uses ML to understand environmental conditions and listening preferences over time to automatically fine-tune the media experience.
Journal, a new app for users to reflect and practice gratitude, uses on-device ML for personalized suggestions to inspire entries.
Why does this matter?
To the average user, AI can be scary. Perhaps it was Apple’s deliberate choice not to mention the word “AI”? Nevertheless, these updates and features demonstrate that Apple is indeed utilizing AI technologies in various aspects of its products and services, joining the likes of Google and Microsoft.
Knowledge Nugget: GPT best practices by OpenAI
OpenAI’s GPTs can be used to build various kinds of applications. In this guide, OpenAI has shared strategies and tactics for getting better results from GPTs. The methods described can also sometimes be deployed in combination for greater effect. Plus, the guide has demonstrated in detail how these tactics can be used in practice.
Why does this matter?
This shows OpenAI’s commitment to improving the performance and effectiveness of GPT-based applications and encourages experimentation to find the methods that work best for you. It will also allow developers and AI enthusiasts to leverage the full potential of GPT models and create more sophisticated and reliable applications.
What Else Is Happening
🏀 AI built a basketball referee. Watch now! (Link)
🎥 Video-LLaMA empowers LLMs with video understanding capability. (Link)
🤖 PassGPT guesses 20% more unseen passwords. Isn’t it wow? (Link)
📝 Now, Zoom will make meeting notes for you! (Link)
🎯Following TCS, Infosys, and Wipro, Mphasis has now introduced generative AI services. (Link)
🔬GPT aims to reduce a doctor’s workload! (Link)
Trending Tools
Regem AI: Powerful AI-based rephrasing tool that can rephrase your content in seconds.
Tappy AI: AI LinkedIn browser assistant for generating personalized comments in 1 tap.
Dante AI: Build a GPT-4 chatbot in minutes. Train the AI, customize, and embed on your website. Zero coding.
Process AI: Next-gen process management platform powered by AI & ChatGPT. Elevate recurring work and optimize business processes.
Interlogos: People analytics and AI performance management software that helps managers and employees grow.
Trolly AI: Get AI-generated, optimized content twice as fast for supercharging SEO game.
Argil: Save hours on your work by creating AI automations, all in no-code, tailored to your data.
Sivi AI: Generate instant designs 10X faster by writing a prompt or adding your copy and assets. Get visuals in any dimension.
That's all for now!
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