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Hey Edge Family, good morning! Hugging Face is once again making a big case for the value in open-source AI models with their newest launch.
The Breakdown
💎 3 Top AI Tools
Quillbot: AI-powered writing tool that helps improve writing
Photoshift: Shift your product into MidJourney scene
Pictory: Easy video creation for content marketers
🧩 Together With Vello
Big Takeaway: Vello is a suite of AI tools that allows you to run powerful multi-AI workflows that can fetch Google results, call multiple AIs in a single chat, and invite your team to collaborate with you.
Download the Windows or Mac desktop clients to use the models on your local machine with powerful keyboard shortcuts.
Combine the best models in a single chat from OpenAI, Anthropic, Google, and more.
Create, train, publish, and embed AI personas to solve problems for you and your team.
🚨 Latest Developments
Source: Hugging Face
Big Takeaway: Hugging Face has announced a free database of customizable Hugging Chat Assistants for creating custom chatbots.
Users can build assistants in 2 clicks utilizing open-source models like LLaMA 2, GPT-4, and more.
This is similar to OpenAI’s GPT Store (an app store for custom GPTs), but the biggest differences are that Hugging Face’s models are free and open source.
However, compared to OpenAI’s custom GPTs, it’s still missing RAG, web search, actions, and a GPT builder.
Source: Brookings Institution
Big Takeaway: According to reports, OpenAI's ChatGPT has been uncooperative and even sassy when performing tasks for users.
Sam Altman acknowledged that GPT-4 had a slow start to 2024, but he says that should be over now. (Tweet)
Altman compared training AI models to training puppies, with variations in behavior even when using the same datasets, leading to differences in personality and response styles.
A study by Stanford/Berkeley highlighted that ChatGPT's accuracy in certain tasks, like math problems, dramatically decreased over a three-month period.
Do you feel ChatGPT has gotten lazier for you?
🔎 Extra Insights
Researchers at New York University strapped a camera to the head of a toddler for 18 months to train AI using real-world infant data. Surprisingly, their models were able to learn words and concepts in just minutes of the baby’s waking hours.
After initially announcing it would not create a native app for Apple's upcoming Vision Pro headset, YouTube has changed course and confirmed a dedicated Vision Pro app is now "on the roadmap."
Microsoft announced partnerships with five news organizations to incorporate generative AI into journalism operations, despite their pending lawsuit. Initiatives include AI trainings, business model development, and a multi-source news feed called Signals
💻 Real Life Use Cases
Midjourney Prompt: Create an Animal
Use this prompt in your favorite AI image generator to create descriptive animal pictures.
Copy and paste the prompt below:
Generate an image of a (Insert type of animal, e.g., 'majestic dragon') in a setting that reflects its (Insert specific characteristics or habitat, e.g., 'fiery, mountainous home'). The image should capture the creature's (Insert specific attributes, e.g., 'power and elegance'). Here’s the result:
💼 Who’s Hiring in AI
Job Title | Company | Salary Range | Location |
|---|---|---|---|
Observe AI | N/A | Hybrid | |
Imbue | N/A | Remote or on-site | |
Sanctuary AI | $30/hr+ | On-site |
🎲 AI Game
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