xAI Launches PromptIDE to Accelerate Prompt Engineering
Plus: Amazon's model to rival OpenAI, New text-to-video AI from MySpace founders.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 142nd edition of The AI Edge newsletter. This edition brings you xAI PromptIDE.
And a huge shoutout to our incredible readers. We appreciate you😊
In today’s edition:
🚀 xAI launches PromptIDE to accelerate prompt engineering
🔥Amazon is developing a model to rival OpenAI
🤖 MySpace co-founder DeWolfe unveils latest text-to-video AI
📚 Knowledge Nugget: Fine-tune GPT 3.5 for Stable Diffusion Prompt Modification by
Let’s go!
xAI launches PromptIDE to accelerate prompt engineering
Right after announcing Grok, xAI launched xAI PromptIDE. It is an integrated development environment for prompt engineering and interpretability research.
At the heart of the PromptIDE is a code editor and a Python SDK. The SDK provides a new programming paradigm that allows implementing complex prompting techniques elegantly. You also gain transparent insights into the model's inner workings with rich analytics that visualize the network's outputs.
PromptIDE was originally created to accelerate development of Grok and give transparent access to Grok-1 (the model that powers Grok) to engineers and researchers in the community. It has helped xAI iterate quickly over different prompts and prompting techniques. Its features empower you to deeply understand Grok-1's outputs.
IDE is currently available to members of Grok early access program.
Why does this matter?
xAI is delivering at a rapid pace. PromptIDE is a game-changer for prompt engineering and AI interpretability. It is an environment built for prompt engineering at scale. But it doesn't just accelerate prompt development– it illuminates what's happening under the hood. The IDE is designed to empower users and help them explore the capabilities of xAI’s LLMs at pace.
Perhaps, OpenAI should have released this type of tooling with ChatGPT.
(Source)
Amazon is developing a model to rival OpenAI
Amazon is investing millions in training an ambitious LLM, hoping it could rival top models from OpenAI and Alphabet. The model, codenamed “Olympus”, has 2 trillion parameters, making it one of the largest models being trained. (OpenAI's GPT-4 is reported to have one trillion parameters.)
According to sources, the head scientist of artificial general intelligence (AGI) at Amazon, Prasad, brought in researchers who had been working on Alexa AI and the Amazon science team to work on training models, uniting AI efforts across the company with dedicated resources. However, there is no specific timeline for releasing the new model.
Why does this matter?
Amazon has already trained smaller models such as Titan. It has also partnered with AI model startups such as Anthropic and AI21 Labs, offering them to AWS users.
But Amazon believes having homegrown models could make its offerings more attractive on AWS, where enterprise clients want to access top-performing models. If Amazon is successful, maybe it could take over Microsoft, who is currently winning at capitalizing on generative AI in the cloud-computing market (with its OpenAI partnership).
MySpace co-founder DeWolfe unveils latest text-to-video AI
Chris DeWolfe unveiled his latest social-media product, which uses AI to turn text into videos. PlaiDay creates three-second clips for free after a few prompts. Typing in “1970s male disco dancer,” for example, generates a prancing animated video.
But here is the notable feature– add your photo, and the dancer looks like you. It uses your selfies to personalize the video, which you can then share with friends and followers. The video duration will expand in the future, and the company is also working on adding an audio capability.
One example the company showed using the prompt “English Bobby, 1800s style, streets of London, close-up, life-like.” is below.
The personalized video is a little wonky since the user’s selfie doesn’t show them with a mustache.
Why does this matter?
Many veteran tech entrepreneurs have shifted focus to the generative AI craze. It is evident that AI is truly at the forefront. While PlaiDay boasts versatility and unique features such as above, it's still in the nascent stages. It will need quality, faster time-to-market, user-friendliness, and easy accessibility– all to compete effectively in the rapidly evolving world of AI.
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Knowledge Nugget: Fine-tune GPT 3.5 for Stable Diffusion Prompt Modification
If you’re not great at writing prompts (or just lazy), here’s how to use GPT 3.5 as a prompt assistant. After all, longer, higher-quality prompts typically result in better images from Stable Diffusion models.
This ingenious approach is credited to
. In this article, he explores the idea and takes us through the journey– with all the details, code, thinking behind it, and more. It gives an overview of using LLMs for Stable Diffusion prompts and insights for fine-tuning GPT 3.5 for generating high-quality prompts.It also introduces Distillery (Discord image generation service) as /crazyprompts command, where you input a simple text prompt and it returns you a modified version.
Why does this matter?
This article explores a practical application of AI for improving prompt quality in AI image generation, potentially advancing creative content creation and simplifying the process for a broader audience.
What Else Is Happening❗
📢Google is rolling out new generative AI tools for advertisers.
They will create ads, from writing the headlines and descriptions that appear along with searches to creating and editing accompanying images. It is for both advertising agencies and businesses without in-house creative staff. Google also guarantees it won't create identical images, so competing businesses have no same photo elements. (Link)
💰IBM launches a $500 million enterprise AI venture fund.
It will invest in a range of AI companies– from early-stage to hyper-growth startups– focused on accelerating generative AI technology and research for the enterprise. IBM will be the sole investor of the fund. (Link)
📐Figma introduces FigJam AI to spare designers from boring planning prep.
The idea is that FigJam AI can reduce the preparation time needed to manually create collaborative whiteboard projects from scratch, leaving designers with time for more pressing tasks. It is currently available in open beta and is free for all customer tiers. (Link)
🤝Microsoft partners with VCs to give select startups free AI chip access.
It is updating its startup program, Microsoft for Startups Founders Hub, to include a no-cost Azure AI infrastructure option for “high-end,” Nvidia-based GPU virtual machine clusters to train and run generative models, including ChatGPT-style LLMs. Y Combinator and its community of startup founders will be the first to gain access to the clusters in private preview. (Link)
🤯AI just negotiated a contract for the first time ever– no humans involved.
At Luminance’s London headquarters, the company demonstrated its AI, called Autopilot, negotiating a non-disclosure agreement in a matter of minutes without any human involvement. It is based on the firm’s own proprietary LLM to automatically analyze and make changes to contracts. (Link)
🤖Mozilla is testing an AI chatbot to help you shop.
It will answer questions about products you’re considering buying. Fakespot Chat is Mozilla’s first LLM and can respond to questions on a product’s “quality, customer feedback, and return policy.” (Link)
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