Amazon Announces Q, an AI Chatbot Tailored for Businesses 💼💰
Plus: Amazon launches 2 new chips, Pika's major upgrade Pika 1.0 idea-to-video platform.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 157th edition of The AI Edge newsletter. This edition brings you “Amazon Announces Q, an AI Chatbot Tailored for Businesses 💼💰”
And a huge shoutout to our incredible readers. We appreciate you😊
In today’s edition:
💼 Amazon announces Q, an AI chatbot tailored for businesses
✨Amazon launches 2 new chips for training + running AI models
🎥 Pika officially reveals Pika 1.0, idea-to-video platform
📚 Knowledge Nugget: The interface era of AI by
Let’s go!
Amazon announces Q, an AI chatbot tailored for businesses
Amazon has announced Q, an AI chatbot tailored for businesses that is designed to assist AWS customers. Q can answer questions, generate content, and act on users' behalf. It is trained on 17 years' worth of AWS knowledge and can provide potential solutions to user queries.
Q can also analyze data, generate reports, and troubleshoot network connectivity issues. The chatbot is customizable and can be integrated with various apps and software. According to analysts, Q is a significant announcement and aims to arm developers with AI to enhance their productivity.
Why does this matter?
Q seems to revolutionize business support by swiftly providing accurate solutions, reducing wait times, and ensuring a smoother experience for AWS users. For businesses relying on AWS services, Q's ability to troubleshoot and generate reports means faster issue resolution, leading to minimal service interruptions and improved operational efficiency.
Amazon launches 2 new chips for training + running AI models
Amazon announces 2 new chips for training and running AI models; here are they:
1) The Trainium2 chip is designed to deliver better performance and energy efficiency than its predecessor and a cluster of 100,000 Trainium chips can train a 300-billion parameter AI language model in weeks.
2) The Graviton4 chip: The fourth generation in Amazon's Graviton chip family, provides better compute performance, more cores, and increased memory bandwidth. These chips aim to address the shortage of GPUs in high demand for generative AI. The Trainium2 chip will be available next year, while the Graviton4 chip is currently in preview.
Why does this matter?
Faster training and inference of these chips mean quicker development of advanced AI applications, leading to better user experiences. As Nvidia’s best-performing chips are reportedly sold out until 2024, Amazon chips pose a challenge by offering enhanced performance and energy efficiency, potentially disrupting NVIDIA's market share in AI-specific chips.
Pika officially reveals Pika 1.0, idea-to-video platform
Pika, a video-making platform, has announced its major product upgrade, Pika 1.0, which includes an AI model capable of generating and editing videos in various styles. The company aims to make video creation effortless and accessible to everyone.
Pika has already grown its user base to half a million users, generating millions of videos per week. Additionally, Pika has raised $55 million in funding, with investments from industry leaders and AI experts. The platform allows users to join the waitlist for Pika 1.0 on their website.
Why does this matter?
Enables easier video creation for users of all skill levels and simplifies video production for businesses, influencers, and content creators, streamlining marketing efforts, educational content creation, and social media engagement.
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Knowledge Nugget: The interface era of AI
In this article, the author
explains the era of AI interfaces, where evaluation is about the collective abilities of AI models tested in real open-ended use. Vibes-based evaluations and secret prompts are becoming popular among researchers to assess models. Deploying and interaction with models are crucial steps in the workflow, and engineering prowess is essential for successful research.
Chat-based AI interfaces are gaining prominence over search, and they may even integrate product recommendations into model tuning. The future will see AI-powered hardware devices, such as smart glasses and AI pins, that will revolutionize interactions with AI. Apple's AirPods with cameras could be a game-changer in this space.
Why does this matter?
The emergence of AI-powered hardware devices like smart glasses and Apple's potential AirPods with cameras signals a transformative shift in how we interact with AI, potentially impacting various industries and daily life interactions.
What Else Is Happening❗
🚀 TCS has partnered with AWS to launch its generative AI practice
With an aim to help businesses utilize AI and AWS gen AI services. It will offer services such as consulting, solution design, language model training, and ongoing maintenance. (Link)
🚀 ElevenLabs Grants to help companies incorporate voice AI tech into their products
Recipients of the grant will receive 11M text characters per month for 03 months to develop and scale their products. Startups with less than 25 employees can apply for the grant by detailing how their product incorporates AI voices. (Link)
🚀 AWS has introduced Guardrails for Amazon Bedrock
A tool that allows companies to define and limit the language used by LLMs. It ensures that the models provide relevant and safe user experiences aligned with company policies. This tool is considered key for developers working with LLMs to control unwanted responses and ensure responsible AI. (Link)
🚀 NVIDIA is bringing its Isaac Sim and L40S GPUs to AWS
Allowing developers to build and deploy accelerated robotics applications in the cloud. The L40S GPU offers a 2x performance boost compared to the previous generation, enabling faster rendering and simulation tasks. (Link)
🚀 Stability AI launches SDXL Turbo, a new text-to-image generation model
It achieves state-of-the-art performance by using a new distillation technology that allows for high-quality single-step image generation. This reduces the required step count from 50 to just 01. The model weights and code can be downloaded on Hugging Face under a non-commercial research license. (Link)
That's all for now!
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