OpenAI Kicking off Big AI Announcements (DevDay Highlights) 🔥💣⚡
Plus: Amazon, Tesla, YouTube and more.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 141st edition of The AI Edge newsletter. This edition brings you OpenAI’s Big AI Announcements from DevDay.
And a huge shoutout to our incredible readers. We appreciate you😊
In today’s edition:
🔥 OpenAI Kicking off Big AI Announcements (DevDay Highlights)
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📚 Knowledge Nugget: How to create consistent characters in Midjourney by
Let’s go!
OpenAI Kicking off Big AI Announcements (DevDay Highlights)
OpenAI held its first developer event yesterday (11/06/2023), which was action-packed. The company launched improved models, new APIs, and much more. Here is a summary of all announcements:
1. Announced a new GPT Builder: GPT Builder will allow anyone to customize and share their own AI assistants with natural language; no coding is required. That combines instructions, extra knowledge, and any combination of skills and then shares that creation with others. Plus and Enterprise users can start creating GPTs this week.
2. GPT-4 Turbo with 128K context at 3x cheaper price: GPT4 can now read a prompt as long as an entire book. It has knowledge of world events up to April 2023. GPT-4 Turbo performs better than our previous models on tasks that require carefully following instructions, such as generating specific formats (e.g., “always respond in XML”). This beta feature is useful for use cases such as replaying requests for debugging, writing more comprehensive unit tests, etc.
3. GPT Store for user-created AI bots: OpenAI’s GPT Store lets you build (and monetize) your own GPT. OpenAI plans to launch a marketplace called the GPT Store, where users can publish their GPTs and potentially earn money. The company aims to empower people with the tools to create amazing things and give them agency in programming AI with language.
4. Launches Assistants API that lets devs build ‘assistants’ into their apps: Developers can build their own “agent-like experiences.” The API enables developers to create assistants with specific instructions, access external knowledge, and utilize OpenAI's generative AI models and tools. Use cases for the Assistants API include natural language-based data analysis, coding assistance, and AI-powered vacation planning.
5. OpenAI launches text-to-image model, DALL-E 3 API: It is now available through API with in-built moderation tools. Open AI has priced the model at $0.04 per generated image.
The API includes built-in moderation to prevent misuse and offers different format and quality options. However, it is currently limited compared to the DALL-E 2 API, as it cannot create edited versions or variations of existing images.
6. A new text-to-speech API called Audio API with 6 preset voices and two generative AI model variants. Alloy, Echo, Fable, Onyx, Nova, and Shimer. The company does not offer control over the emotional effect of the generated audio.
7. Announced a new program called Copyright Shield: Promising to protect businesses using the AI company’s products from copyright claims. They said they will pay the costs incurred if you face legal claims around copyright infringement while building with tools.
Why does this matter?
These announcements set a new standard for AI technology. The launch of GPT-4 Turbo at a more affordable price and customizable AI assistants can put pressure on Google's AI offerings, such as BERT and Assistant. Microsoft, with its Azure AI services and cloud-based AI solutions, can also face increased competition in the AI market. Also, end users will benefit from customizable AI assistants and powerful AI models, offering a more personalized and efficient experience.
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Knowledge Nugget: How to create consistent characters in Midjourney
This amazing tutorial by
explains how to create consistent characters in Midjourney, an AI diffusion model. It introduces the concept of "image prompting," where images are used as inspiration in prompts to generate desired outputs. The tutorial suggests using human portraits as examples and compares the technique to how illustrators create character blueprints.
It also mentions the importance of good-quality training data for Stable Diffusion models. While this technique can help achieve consistency, it is recommended to use a custom model for Stable Diffusion for better results. The tutorial concludes by mentioning the possibility of future advancements in creating consistent characters and much more.
Why does this matter?
This tutorial introduces a technique that can enhance the consistency and quality of AI-generated characters in applications like video games, entertainment, and art. Creators can make more immersive and visually appealing content with the help of this tutorial.
What Else Is Happening❗
🔧 Amazon’s new upgrades to its code-generating tool, Amazon CodeWhisperer
It’s for providing enhanced suggestions for app development on MongoDB. It offers better MongoDB-related code recommendations that adhere to best practices, enabling developers to prototype more quickly. (Link)
🎮 Xbox teams with Inworld AI to develop AI game dialogue and narrative tools
This collaboration aims to empower game creators by providing them with an accessible and responsibly designed AI toolset for dialogue, story, and quest design. The toolset will include an AI design copilot to assist in generating detailed scripts and dialogue and more. (Link)
🚗 Tesla to integrate Elon Musk's new AI assistant, Grok, into its electric vehicles
Musk's AI startup, xAI, will work closely with Tesla to develop the chatbot or AI assistant. The collaboration will leverage data from xAI, and the assistant will be offered through Tesla's premium subscription service on social media. (Link)
📺 YouTube is testing new-gen AI features
Including a conversational tool and a comments summarizer. The conversational tool uses AI to answer questions about YouTube content and make recommendations, while the comments summarizer organizes and summarizes discussion topics in large comment sections. These features will be available to paid subscribers. (Link)
🔍 New ML tool ‘ChatGPT detector’ catches AI-generated papers
It’s developed to identify papers written using the AI chatbot ChatGPT with high accuracy. The tool, which focuses on chemistry papers, outperformed two existing AI detectors and could help academic publishers identify papers created by AI text generators. (Link)
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