OpenAI’s ChatGPT beta: A leap towards multifunctional AI assistants
chatgpt gpt mentions in chat
OpenAI has introduced an innovative beta feature for ChatGPT that allows multiple GPTs to be integrated into a single chat window. By using the “@” sign, users can address specific GPTs who will respond interactively. This feature demonstrates OpenAI’s drive to develop ChatGPT into a versatile personal assistant. The feature allows different GPT personalities, such as replica chatbots of Donald Trump and Joe Biden, to interact with each other.
Key point
Details
Function
Beta feature in ChatGPT to integrate multiple GPTs in one chat window
Mechanism
Activation of specific GPTs using the “@” sign
Example
Interaction between simulated chatbots (e.g. Donald Trump and Joe Biden)
Goal of OpenAI
Development of ChatGPT into a universal, personalized assistant
Lumiere by Google: Breakthrough in generative AI for realistic videos
Google
Google presents Lumiere, an innovative text-to-video (T2V) diffusion model that sets new standards in video creation. With its unique Space-Time U-Net (STUNet) architecture, Lumiere creates videos with coherent motion and high quality. Unlike previous models, which were based on a model cascade, Lumiere generates the entire video sequence at once, resulting in more realistic movements. The model has been trained with 30 million videos and shows impressive results compared to other methods.
Key point
Details of the
Project
Lumiere from Google
Model type
Text-to-video (T2V) diffusion model
Special feature
Space-Time U-Net (STUNet) architecture for coherent movements and high quality
Training
30 million videos with associated text subtitles
Video properties
80 frames at 16 frames per second, 5 second videos
Midjourney’s V6 update: New dimensions in AI-driven image processing
DALL-E3 prompted by AI Rockstars
Midjourney has released its V6 update, which introduces the pan, zoom and vary (region) functions. These functions allow for improved image editing with more coherence and less repetition. The Pan function combines panning and zooming and is compatible with Upscale, Vary (Region) and Remix. The update also makes Midjourney’s Alpha website, which enables image generation, more accessible to users who have created at least 5000 images. In addition, there is a new feedback function to optimize development work.
Key points table
Key point
Key point details
Update
Midjourneys V6 update with new image processing functions
New functions
Pan, zoom and vary (region) for improved image composition
Pan function
Combination of pan and zoom, compatible with Upscale, Vary (Region) and Remix
Website access
Extended accessibility of the Alpha website for active users
Feedback feature
New feature to improve development work based on user feedback
Meta-prompting: A new era in the efficiency of large language models
DALL-E3 prompted by AI Rockstars
Meta-prompting, developed by researchers at Stanford University and OpenAI, is an innovative technique that improves the performance of large language models on logical tasks. It works by breaking down complex tasks into smaller, more manageable parts and processing them with specialized “expert” models. In experiments with GPT-4, this approach has achieved better results than conventional prompting methods, especially for logical challenges.
Key point
Details
Development
By researchers at Stanford University and OpenAI
Method
Meta-prompting to improve the performance of large language models
Function
Decomposition of complex tasks into smaller parts for expert models
Area of application
Particularly effective for logical tasks
Results
Outperforms conventional prompting methods in experiments with GPT-4
Longer thought processes: A key to improving language models
DALL-E3 prompted by AI Rockstars
A study reveals that “chain of thought” prompts can significantly improve the performance of large language models such as GPT-4, even when they contain erroneous information. This method improves the reasoning ability of the models by breaking down complex problems into more detailed steps. Surprisingly, the results show that the length of the thought chains is more important than the exact correctness of each individual step.
Key point
Details
Study finding
Longer chain-of-thoughts improve language models
Influence
Longer chains of thought more important than accuracy of steps
Application
Particularly effective for complex problem solving
Models
Effective with large language models such as GPT-4
Google’s Gemini-Pro: A new era for Bard at GPT-4 level
Google AI
Google has unveiled a new, more powerful Gemini Pro model for its chatbot Bard, which is on par with GPT-4 in human evaluation. The model immediately took second place in the neutral benchmark of the Chatbot Arena, just behind the GPT-4 Turbo. Google is also planning to release Gemini Ultra soon, which is set to surpass Gemini Pro-Scale in terms of performance.
OpenAI has improved its GPT-4 model (gpt-4-0125-preview), which works more efficiently and reduces the so-called “laziness” that manifested itself in incomplete answers. OpenAI is also lowering prices for the GPT 3.5 Turbo model and introducing two new embedding models: text-embedding-3-small and text-embedding-3-large. New API key management tools give developers more control and insight into API usage.
Key Point
Details
Model improvement
GPT-4 (gpt-4-0125-preview), more efficient and with reduced “laziness”
Price reduction
Prices for GPT-3.5 turbo model reduced
New embedding models
Text-embedding-3-small and text-embedding-3-large
API management tools
New tools for better control and overview of API usage
Nvidia’s RTX Video HDR: Revolutionizes SDR-to-HDR video conversion
Nvidia introduces RTX Video HDR, an impressive AI solution that converts Standard Dynamic Range (SDR) video to High Dynamic Range (HDR) video. This tool works in combination with RTX Video Super Resolution and requires an HDR10-compatible monitor for HDR functionality. It is available in Chromium-based browsers and requires the January Studio driver and activation of Windows HDR features.
Key point
Details
Product details
Nvidia RTX Video HDR
Feature
Converts SDR videos into HDR videos
Compatibility
Requires HDR10 compatible monitor
Availability
In Chromium-based browsers
Additional requirements
January Studio drivers and Windows HDR capabilities
Google Ads and Gemini chatbot: Revolutionizing the creation of search campaigns
DALL-E3 prompted by AI Rockstars
Google Ads has integrated the advanced AI model Gemini to optimize the creation of search campaigns through a chat-based workflow. This feature, which is currently available in the US and UK for English-speaking users, allows ad content, including ads and keywords, to be designed more efficiently. Small businesses in particular benefit from this innovation by increasing their ad quality by 42%. In the near future, the feature will also suggest AI-generated images, complete with watermarks and metadata.
Key point
Details
Integration of
Gemini AI model in Google Ads
Feature
Chat-based creation of search campaigns
Availability
Currently for English-speaking users in the US and UK
Benefit
42% increase in ad quality for small businesses
Future feature
Integration of AI-generated images with watermarks and metadata
Chrome’s AI revolution: Tab auto-sorting and typing help for more efficient browsing
Google
Google Chrome introduces three new AI features with the latest update (M121): the Tab Organizer, AI-generated themes and a typing assistant. The Tab Organizer makes it easier to manage tabs by automatically grouping them based on content, while the AI-generated themes enable individual browser themes. The “Help me write” function supports users in composing texts by providing AI-generated suggestions. These innovations will significantly improve the user experience and efficiency when browsing the internet.
Key point
Details
Chrome update
M121 with new AI functions
Tab Organizer
Automatic grouping of tabs based on content
AI-generated designs
Customized browser themes
Writing assistant
“Help me write” function for AI-generated text suggestions
Google aims to lead AI development in 2024 – but there is still a long way to go
DALL-E3 prompted by AI Rockstars
Google has set itself the goal of developing the world’s most advanced, safe and responsible AI by 2024. This includes integrating AI into existing products such as business applications, Pixel smartphones and generative search, but the company has yet to develop a successful standalone AI product such as ChatGPT. Losing business in the cloud space to Microsoft, which is growing faster thanks to its collaboration with OpenAI, and pressure on the quality of Google search from AI spam are challenges along the way.
Key point
Details
Objective
Developing the world’s most advanced AI
Product integration
AI in existing products such as business applications, Pixel smartphones
RunwayML’s innovation: From images to videos with the Multi-Motion Brush
Runway
RunwayML revolutionizes video editing with the Multi-Motion Brush, a tool that turns static images into animated videos. Users can individually animate up to five objects in an image, unleashing new dimensions of creativity. This technological innovation is user-friendly and significantly expands the possibilities in the field of visual content.
Key points table
Key point
Key point details
Tool
Multi-Motion Brush from RunwayML
Function
Transforms static images into animated videos
Object animation
Up to five objects per image can be animated
Ease of use
Intuitive operation for a wide range of applications
