gpt-3 - Tech News from Simmons Systems (Page 4)

Tech News from Simmons Systems

gpt-3

A collection of 147 posts

artificial intelligence

Tech Giants Race to Build Unstoppably Massive AI Models

The AI industry experiences a massive shift as tech companies compete to build ever-larger neural networks, prioritizing sheer scale over new algorithms. This growing trend raises serious questions about the environmental and financial costs of training these monstrous systems.

artificial intelligence

2021 Sees Explosive Growth of Massive AI Language Models

Tech giants race to build ever-larger artificial intelligence models, relying on sheer scale rather than new algorithms to achieve breakthrough performance.

DeepMind's RETRO AI Matches Giants Using External Memory

DeepMind introduces RETRO, a new language model that uses an external database to look up text instead of memorizing everything. This innovative approach allows it to match the performance of AI models 25 times its size.

OpenAI Removes GPT-3 Waitlist, Opens API to All Developers

OpenAI officially removes the waiting list for its GPT-3 API, making the powerful text generation tool fully available to the public. This move allows any developer to integrate the advanced AI model directly into their own software applications.

OpenAI Removes GPT-3 API Waitlist After Safety Upgrades

OpenAI opens its GPT-3 API to all developers by dropping the application waitlist, citing improved safety filters and technical capabilities. Users now only need an email address to access the powerful language model.

NeurIPS Workshop Tackles Efficiency Challenges in Massive NLP and Speech Models

A new virtual NeurIPS workshop gathers experts to address the high computational costs of training and deploying massive natural language and speech models. The event focuses on making over-parameterized networks more efficient for real-world applications.

NeurIPS Workshop Tackles Efficiency Challenges in Massive NLP and Speech Models

A new NeurIPS workshop gathers experts to address the high computational costs of training and deploying massive natural language and speech models. The virtual event focuses on making over-parameterized networks more efficient for real-world applications.

DeepMind Unveils Gopher, an Efficient Language Model Outperforming GPT-3

DeepMind introduces Gopher, a 280-billion-parameter language model that outperforms GPT-3 on key benchmarks through smarter resource allocation rather than sheer size.

OpenAI Makes GPT-3 API Publicly Available for All Developers

OpenAI removes the waitlist for its GPT-3 API, allowing any developer to integrate the powerful language model into their applications immediately.

OpenAI Removes Waitlist, Opens GPT-3 API to All Developers

OpenAI makes its powerful GPT-3 language model generally available to all developers through its API, removing the previous waitlist requirement. The company credits recent safety progress, including new content filters and specialized instruction-following models, for the expanded access.

Microsoft and Nvidia Break Records With 530 Billion Parameter AI Model

Microsoft and Nvidia team up to build MT-NLG, a massive 530 billion parameter language model that surpasses GPT-3 in scale and accuracy across various natural language processing tasks.