GPT-3 at Scale — What the Developer Ecosystem Tells Us About AI
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OpenAI’s GPT-3 API is spawning a wave of developer tools and startups.
- Osmond van Hemert — Senior Software Engineer & Applied AI/
- Blog Categories: AI, Security, Development & Infrastructure/
- AI Models, Agents & Industry Analysis/
AI Models, Agents & Industry Analysis
This category is for posts where AI is the main subject: new models and their capabilities, agent systems in practice, and the business and policy decisions shaping deployment. Browse the articles below for analysis of what changed, what the evidence supports, and what developers should evaluate before adoption.
Follow AI Models & Releases for model-specific coverage or AI Industry & Regulation for the policy and market side. The AI tag also includes posts where AI is part of a broader software, security, or infrastructure story.
GPT-3 — The New API That Has Every Developer Talking
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OpenAI’s GPT-3 API is generating jaw-dropping demos across the developer community. Here’s what it means for the rest of us.
GPT-3 API Access — First Impressions from the Beta
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OpenAI is granting beta access to the GPT-3 API. After a week of experimentation, here’s what’s genuinely impressive and what’s overhyped.
GPT-3 — OpenAI's 175 Billion Parameter Bet on Language
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OpenAI publishes the GPT-3 paper, a 175 billion parameter language model that demonstrates surprising few-shot learning capabilities across a range of NLP
Python at the Frontlines — Data Science Meets Pandemic Response
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Python and its data science ecosystem are playing a central role in COVID-19 analysis, from epidemiological modeling to resource allocation dashboards.
Reformer — Can We Make Transformers Practical for the Rest of Us?
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Google’s new Reformer model tackles the massive memory and compute costs of Transformers.