Meta, OpenAI innovations heat the AI showdown
Plus: AI built on moral values. IBM launches watsonx
Hello, Engineering Leaders and AI Enthusiasts,
Welcome to the 16th edition of The AI Edge newsletter. In today’s edition, we bring you the unleashed innovation from the tech giants - Meta, IBM, Microsoft, & Google Cloud. Thank you everyone who is reading this. 😊
In today’s edition:
📜 Anthropic proposes AI constitution with moral values
📊 Meta's AI Fusion ‘ImageBind’: 6 data types in 1 AI model
🧠 Open AI’s latest breakthrough: Examining LLM behaviors
💼 IBM launches 'watsonx' for enterprise AI services
🍔 Wendy's & Google Cloud test AI chatbot for drive-thru orders
👥 Microsoft to test Copilot with 600 customers, introduces new AI features
Let’s go!
Anthropic releases Claude’s constitution: Is it the answer to current AI challenges?
Since launching Claude, an AI assistant trained with Constitutional AI, Antropic has heard more questions about Constitutional AI and how it contributes to making Claude safer and more helpful.
The Alphabet-backed startup disclosed the full set of principles, which it calls Claude's constitution, used to train and make Claude safe. Unlike ChatGPT’s human feedback-based model, which may be biased, Anthropic gives Claude a set of written moral values to read and learn from as it makes decisions on how to respond to questions.
The value guidelines draw from various sources, including the United Nation’s Universal Declaration of Human Rights, Apple’s Terms of Service, and more.
Why does this matter?
Constitutional AI is an attempt to answer the question of– what “values” might a language model have. It gives language models explicit values determined by a constitution rather than values determined implicitly via large-scale human feedback. Could it be a promising approach to build transparent, safe, ethical, and better AI models?
Meta's ImageBind: The ultimate fusion of 6 data types in 1 AI model
Meta has announced the new open-source AI model called ‘ImageBind’ that links together multiple data streams- text, audio, visual data, temperature, and movement readings. ImageBind is the first to combine 6 data types into a single embedding space.
The company also notes that other streams of sensory input could be added to future models, including touch, speech, smell, and brain fMRI signals.
Why does this matter?
This AI fusion is a significant step forward in developing generative AI systems that can create immersive, multisensory experiences. And by open-sourcing the project, Meta seems to want to continue on the strategy of improving models with the help of individual independent contributors.
Open AI’s latest breakthrough: Examining LLM behaviors with GPT-4
OpenAI is developing a tool that uses GPT-4 to examine an LLM's behaviors and anticipate problems with AI systems. The tool generates explanations for neurons (in neural networks) and scores their accuracy by having GPT-4 predict how they would behave.
The code is available on GitHub but is still in the early stages of development. The researchers generated explanations for all 307,200 neurons in GPT-2.
Why does this matter?
Understanding why an LLM produces certain outputs or behaviors is essential for ensuring that the model makes accurate and unbiased predictions. This, in turn, can increase trust in AI systems and make them more widely adopted in various industries.
IBM is betting big on AI - Launches enterprise service ‘watsonx’
IBM's watsonx is a next-generation AI platform designed to provide self-service access to high-quality, trustworthy data, enabling users to collaborate on a single platform to build and refine new, generative AI foundation models.
Watsonx consists of 3 components: 1) Watsonx.ai for building and refining new, generative AI foundation models, 2) Watsonx.data for connecting to data and reducing data warehouse costs, and 3) Watsonx.governance for building trust and governance into the AI lifecycle.
Why does this matter?
IBM joins the list of tech behemoths betting big on AI. And with IBM becoming the backbone of AI implementations in enterprises, we might witness a significant acceleration in AI adoption among businesses.
Wendy's and Google Cloud to pilot a next-gen AI chatbot for drive-thru ordering
75-80% of Wendy's customers choose the drive-thru for ordering. However, delivering a seamless experience using AI automation can be difficult due to the complexities of menu options, special requests, and ambient noise. But Google Cloud's generative AI capabilities and foundational LLMs can potentially transform the drive-thru experience.
Wendy's and Google Cloud announced an expanded partnership to pilot a groundbreaking AI solution, Wendy's FreshAI. The first pilot will launch in June, and will include capabilities to have conversations with customers, understand made-to-order requests, generate responses to FAQs, integration with restaurant hardware and the PoS, and more!
Why does this matter?
The chatbot stands to revolutionize the quick-service restaurant industry. If successful, it could lead to wider adoption of AI-powered solutions in the industry for improved efficiency and profitability. And while the amount of Google’s contribution to AI innovation is already significant, this partnership is also an opportunity to showcase its capabilities to solve complex real-world problems with AI.
Microsoft to test Copilot with 600 new customers, introduces new AI features
Microsoft announced the Microsoft 365 Copilot Early Access Program, an invitation-only, paid preview that will roll out to an initial wave of 600 customers worldwide. Since March, it has been testing the AI-powered Copilot with 20 enterprise customers.
The company also rolled out Semantic Index for Copilot– a sophisticated map of your user and company data. It uses conceptual understanding to determine your intent and help you find what you need, enhancing responses to prompts.
Among other new capabilities, it introduced:
Copilot in Whiteboard, Outlook, OneNote, Loop, and Viva Learning
DALL-E, OpenAI’s image generator, into PowerPoint
Why does this matter?
This move comes just days after Google expanded its tester program for Workspace and introduced new AI capabilities. Seems like both companies are investing heavily in developing new AI-powered offerings, which could create more competition, lead to increased innovation, and new features being introduced to the market more rapidly.
What Else Is Happening
🤖 TidyBot: Personalized Robot Assistance with LLMs (Link)
💰 FrugalGPT: Reduces costs by 98% and improves accuracy (Link)
💻 Open AI plans a pro-copyright model for GPT (Link)
🔍 Salesforce unveils generative AI-powered Tableau tools (Link)
💡 Eventbrite integrates GPT capabilities to aid event creators (Link)
📊 Claire GPT: Industry's first generative AI-powered data management platform (Link)
🚀 Introducing Raycast AI for greater developer productivity (Link)
Trending Tools
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That's all for now!
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Thanks for reading, and see you tomorrow.