microsoft Microsoft Integrates GPT-3 Into Power Fx to Simplify Low-Code Development Microsoft is using its exclusive access to OpenAI's GPT-3 to help users write Power Fx formulas using natural language. The new feature translates plain English requests into executable low-code scripts.
microsoft Microsoft Integrates GPT-3 Into Power Apps for Natural Language Coding Microsoft is leveraging OpenAI's GPT-3 model within its Power Apps platform to translate plain English into Power Fx code. This new feature bridges the gap between low-code and no-code development by assisting citizen programmers with formula creation.
artificial intelligence Global Scientists Unite to Study Risks of Large Language Models As tech giants like Google and OpenAI rapidly deploy large language models into consumer products, a massive collaborative project called BigScience aims to study the ethical and environmental dangers of this technology before it causes widespread harm.
microsoft Microsoft Launches First Product Features Using GPT-3 AI Model Microsoft integrates OpenAI's GPT-3 into its products to translate natural language into code. This milestone allows users to build applications simply by describing what they want in plain English.
microsoft Microsoft Integrates GPT-3 Into Power Apps for No-Code Development Microsoft is bringing OpenAI's GPT-3 natural language model to its Power Apps platform, allowing users to build applications using simple conversational text instead of complex code.
microsoft Microsoft Brings GPT-3 to Power Apps for No-Code Development Microsoft integrates the GPT-3 natural language model into its Power Platform, allowing users to build applications using plain English instead of complex code. This update transforms the low-code tool into a more accessible no-code solution for enterprise users.
openai OpenAI's GPT-3 Outpaces WordPress in Daily Word Generation OpenAI reports that its GPT-3 algorithm currently generates 4.5 billion words per day across over 300 applications. This massive output surpasses the estimated daily word count of the entire WordPress platform.
ai AI Language Models Pose New Threats for Automated Disinformation Campaigns A new Georgetown report explores how advanced AI systems like GPT-3 enable human-machine teams to generate fake news at scale. The technology significantly reduces the effort required to create and spread misleading content online.
openai OpenAI GPT-3 Generates 4.5 Billion Words Daily Across 300 Apps OpenAI's GPT-3 language model is now producing an enormous 4.5 billion words every day through integration in over 300 applications. This massive output highlights the growing commercial success of the AI text-generation tool as the company continues its shift toward profitability.
gpt-3 Startups Lead the Charge in Bringing GPT-3 Applications to Market New startups are rapidly adopting GPT-3 to automate writing tasks and build innovative software products. These agile companies are outpacing large corporations by quickly turning the powerful AI model into practical business tools.
gpt-3 Startups Lead the Charge in Bringing GPT-3 to Everyday Applications New startups rapidly adopt GPT-3 to automate writing tasks like emails and ad copy, outpacing larger corporations. Clever prompt engineering allows these small companies to build highly contextual AI products faster than ever before.
clip New Visual AI Model Learns From Text Instead of Fixed Labels Researchers introduce a visual model that learns by matching internet images with text captions, bypassing the need for predetermined object categories. The system achieves impressive zero-shot performance across dozens of computer vision tasks.
text-to-image Simple Transformer Achieves Zero-Shot Text-to-Image Generation Without Complex Training Researchers introduce a straightforward transformer approach that models text and image tokens together as a single data stream. This scaled-up method successfully competes with domain-specific models without relying on auxiliary losses or segmentation masks.
text-to-image New Transformer Approach Achieves Zero-Shot Text-to-Image Generation Researchers introduce a simple transformer model that autoregressively processes text and image tokens together as a single data stream. This scaled approach matches previous domain-specific models in zero-shot evaluations without needing complex architectures or auxiliary training data.
text-to-image New Transformer Model Generates Images From Text Without Specialized Training Researchers introduce a simple transformer approach that models text and image tokens as a single data stream for zero-shot text-to-image generation. The method bypasses complex architectural assumptions by relying on massive data and scale to compete with domain-specific models.