proAWS Announces Powerful New AI Offerings
Plus: Meta drops LLAMA 2 Long, Google announces Google-Extended & opens SGE to teens.
AWS announces powerful new AI offerings
Amazon Web Services (AWS) has announced 5 major generative AI updates and innovations.
- Amazon Bedrock is now generally available. It is a fully managed service that makes foundation models (FMs) from leading AI companies available through a single API. It also has new AI models in the mix and will help more customers build and scale generative AI applications.
- Amazon Titan Embeddings is now generally available. It is an LLM that makes it easier for customers to start with Retrieval-Augmented Generation (RAG) to extend the power of any FM using their proprietary data.
- Meta’s Llama 2 is coming to Amazon Bedrock in the next few weeks. Amazon Bedrock is the first fully managed generative AI service to offer Llama 2 through a managed API. Currently, it includes models from 21 Labs, Anthropic, Cohere, Stability AI, and Amazon.
- New Amazon CodeWhisperer capability is coming soon. It will allow customers to securely customize CodeWhisperer suggestions using their private code base to unlock new levels of developer productivity. Trained on billions of lines of Amazon and publicly available code, Amazon CodeWhisperer is an AI-powered coding companion.
- New Generative BI authoring capabilities to extend the natural-language querying of Amazon QuickSight Q beyond answering well-structured questions. It will help analysts quickly create customizable visuals from question fragments, clarify the intent of a query by asking follow-up questions, refine visualizations, and complete complex calculations.
Why does this matter?
This is a major milestone that puts generative AI at the fingertips of every business, from startups to enterprises, and every employee, from developers to data analysts. AWS is also bringing greater security, choice, and performance to customers. While other tech giants are busy advancing AI’s capabilities, AWS may be leading the way to its robust implementation.
(Source)
Meta introduces LLAMA 2 Long
In a new research, Meta presents a series of long-context LLMs that support effective context windows of up to 32,768 tokens. The models are built through continual pretraining from Llama 2 with longer training sequences and on a dataset where long texts are upsampled.
On research benchmarks, the models achieve consistent improvements on most regular tasks and significant improvements on long-context tasks over Llama 2. Notably, with a cost-effective instruction tuning procedure that does not require human-annotated long instruction data, the 70B variant can already surpass gpt-3.5-turbo-16k’s overall performance on a suite of long-context tasks.
Why does this matter?
The research shows that having abundant long texts in the pretraining dataset is not the key to achieving strong performance. Long context continual pretraining is more efficient and similarly effective compared to pretraining from scratch with long sequences. This insight will likely inform the development of future language models and AI systems, making them more capable and resource-efficient.
Google announces Google-Extended and opens SGE to teens
Google introduced Google-Extended, a new control that web publishers can use to manage whether their sites help improve Bard and Vertex AI generative APIs, including future generations of models that power those products. This will allow publishers to control access to content on their site to train these AI models.
In another update, Google has opened up access to SGE in Search Labs to more people, specifically teens (ages 13–17) in the U.S., so they too can benefit from generative AI’s helpful capabilities. Informed by research and experts in teen development, Google has built additional safeguards into the experience. For instance, to prevent inappropriate or harmful content from surfacing.
Why does this matter?
Both these updates from Google represent steps toward a more transparent, controlled, and accessible AI ecosystem, where the benefits of AI can be harnessed responsibly by a wider audience while respecting the rights and values of content creators.
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Knowledge Nugget: What is Generative AI? A Look Back — and Ahead
From rampant advancement in the ‘next generation’ chatbots to growing scrutiny and conversation around ethics and regulation, it’s easy to feel like a decade’s worth of innovation and activity has occurred in AI in under a year.
In this intriguing article,
gets you up to speed on what’s out there in the growing field of generative AI and what it could mean for you. The article provides a historical overview of AI’s journey from its early days to modern times.
It also explores how new models like ChatGPT will change how AI can look, sound, feel, and support everyday needs and wants. It specifically delves into media creation, customer service, self-service analytics, and gaming.
Why does this matter?
It offers a comprehensive overview of generative AI’s past, present, and future, making it a valuable resource for those interested in understanding the technology’s significance and its potential implications across various industries. It can also serve as a starting point for informed discussions and decisions related to generative AI.
(Source)
What Else Is Happening❗
🎙️Spotify is adding auto-generated transcripts to millions of podcasts
The transcript feature will expand to more podcasters on Spotify and include time-synced text. In the future, creators could add media to transcripts– a useful feature if a creator is describing an image on the show, for example. (Link)
🧠Zapier launches Canvas, an AI-powered flowchart tool
It will help its users plan and diagram their business-critical processes, with AI to help them turn those processes into Zapier-based automations. Canvas is now in early access. (Link)
🔬Microsoft opens AI Co-Innovation Lab in San Francisco to empower Bay Area startups The lab’s main goal is to facilitate the transition from ideation to prototyping, providing companies with the resources and guidance they need to refine their AI-based concepts. (Link)
🤖Cohere jumps into the fray of the AI chatbot race by releasing a new API
The Chat API with RAG will allow third-party developers of other enterprises to build powerful chat applications based off Cohere’s proprietary generative LLM, Command. (Link)
🏥Mayo Clinic to deploy and test Microsoft generative AI tools
Mayo Clinic is among the first healthcare organizations to deploy Microsoft 365 Copilot. It is testing the Early Access Program with hundreds of its clinical staff, doctors, and healthcare workers. (Link)
