Google’s AI will replace your doctor?
Plus: Meta is building AI friends for you. GPT-5 coming soon?.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 76th edition of The AI Edge newsletter. This edition brings you “Google’s AI will replace your doctor?”
And a huge shoutout to our incredible readers. You all rock! 😊
In today’s edition:
🏥 Google DeepMind Advances Biomedical AI with ‘Med-PaLM M’
👫Meta is building AI friends for you
❓ GPT-5 coming soon?
💡 Knowledge Nugget: How In-Context Learning Emerges by
Let’s go!
Google DeepMind Advances Biomedical AI with ‘Med-PaLM M’
Google and DeepMind have introduced Med-PaLM M, a multimodal biomedical AI system that can interpret diverse types of medical data, including text, images, and genomics. The researchers curated a benchmark dataset called MultiMedBench, which covers 14 biomedical tasks, to train and evaluate Med-PaLM M.
The AI system achieved state-of-the-art performance across all tasks, surpassing specialized models optimized for individual tasks. Med-PaLM M represents a paradigm shift in biomedical AI, as it can incorporate multimodal patient information, improve diagnostic accuracy, and transfer knowledge across medical tasks. Preliminary evidence suggests that Med-PaLM M can generalize to novel tasks and concepts and perform zero-shot multimodal reasoning.
Why does this matter?
It brings us closer to creating advanced AI systems to understand and analyze various medical data types. Google DeepMind's MultiMedBench and Med-PaLM M show promising performance and potential in healthcare applications. It means better healthcare tools that can handle different types of medical information, ultimately benefiting patients and healthcare providers.
Meta is building AI friends for you
Meta, the owner of Facebook, is developing chatbots with different personalities to increase engagement on its platforms. These chatbots, known as "personas," will mimic human conversations and may include characters like Abraham Lincoln or a surfer. The chatbots are expected to launch early in September and will provide users with search functions, recommendations, and entertainment.
The move is aimed at retaining users and competing with platforms like TikTok. However, there are concerns about privacy, data collection, and the potential for manipulation.
Why does this matter?
Meta's move to develop AI-powered chatbots with different personas comes in response to competition from rivals like TikTok and Snap. TikTok has been gaining popularity and challenging established platforms like Facebook. Meanwhile, Snap has already launched its "My AI" feature, an experimental chatbot that has engaged 150 million users. Meta is also challenging companies like OpenAI, which launched ChatGPT. By introducing these chatbots, Meta aims to attract and retain users while staying at the forefront of AI innovation in social media.
GPT-5 coming soon?
OpenAI has recently filed a Trademark application with the US Patent and Trademark Office for GPT-5. The application was filed on 18-07-2023 and is currently awaiting examination.
The trademark is intended to cover categories of:
Downloadable computer programs and software related to language models
The AI of human speech and text, NLP, ML-based language, and speech processing
Translation of text or speech and sharing datasets for ML
Conversion of audio data into text, voice, and speech recognition
Creating and generating text and developing and implementing artificial neural networks.
The application relates to Software as a Service (SaaS) in these areas.
Why does this matter?
GPT-5 could lead to more accurate and natural language interactions, resulting in highly realistic and human-like conversations with virtual assistants, chatbots, and language translation services. Integrating NLP and ML-based language processing will enable AI systems to understand user intent and preferences better, leading to personalized and tailored experiences. End users can expect more refined and contextually aware responses.
Knowledge Nugget: How In-Context Learning Emerges
In this article, the author
discusses the phenomenon of In-Context Learning (ICL) in Large Language Models. They highlight how ICL enables these models to learn new tasks on the spot without additional training. Initially observed in GPT-3, other LLMs have also noticed this capability.
The author points out that the origins of ICL were initially mysterious, but recent research has shed light on its essential elements. They explain that factors like model architecture, model scale, and training data distribution are vital in allowing ICL to emerge.
Why does this matter?
ICL has significant implications for the future of AI as it expands the potential applications and effectiveness of AI systems. Ongoing research is deepening our understanding of ICL, including the necessary ingredients in model architecture, model scale, and data distributions for it to emerge. With this knowledge, the field can build more capable ICL systems in the future.
What Else Is Happening❗
🚗 Uber is creating a ChatGPT-like AI bot, following competitors DoorDash & Instacart. (Link)
📝 YouTube testing AI-generated video summaries. (Link)
💻 AMD plans AI chips to compete Nvidia and calls it an opportunity to sell it in China. (Link)
📁 Kickstarter needs AI projects to disclose model training methods. (Link)
📅 UC hosting AI forum with experts from Microsoft, P&G, Kroger, and TQL. (Link)
👔 AI employment opportunities are open at Coca-Cola and Amazon. (Link)
🛠️ Trending Tools
Fluent: AI-powered language learning. Master Spanish, French, English, Italian, German, or Portuguese effortlessly.
ProShots: AI-generated headshots. Pick a style, and get high-res images. iOS and Android.
AI Chat: Get instant answers via ChatGPT. User-friendly interface, like a messenger app.
Talkback AI: Revamped Chrome extension for quick customer support. Use product content and FAQs for FREE!
Based: AI-powered design editor for devs. Streamline design, and focus on building great software.
BlogGenie AI: AI-supported writing. Create engaging blog posts on any topic with unique styles and tones.
Mori: Modern genealogy software with an AI-enhanced media gallery, multiplayer collaboration, and version history.
Spring: Get free AI-generated packaging design ideas in minutes. Share and bring them to life with Sourceful.
🤩 Wednesday WOW!
This Mesmerizing AI Art from Runwayml Wows Users!
That's all for now!
If you are new to ‘The AI Edge’ newsletter. Subscribe to receive the ‘Ultimate AI tools and ChatGPT Prompt guide’ specifically designed for Engineering Leaders and AI Enthusiasts.
Thanks for reading, and see you tomorrow. 😊