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The 3 Types of Artificial Intelligence: ANI, AGI, and ASI

Viso.ai

There has been an immense rise in artificial intelligence (AI) applications across various industries recently and it is important to study their capabilities and impact. We can broadly recognize three types of artificial intelligence: Narrow or Weak AI (ANI), General AI (AGI), and Artificial Superintelligence (ASI).

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The rise of API-powered NLP apps: Hype Cycle, or a New Disruptive Industry?

Towards AI

Last Updated on March 19, 2023 by Editorial Team Author(s): Nikola Nikolov Originally published on Towards AI. Looking at these developments, one might wonder: what is the disruptive potential of such apps? Or will their impact be limited to certain narrow use cases? Image generated with Stable Diffusion.

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ChatGPT is Amazing But Overhyped

Towards AI

Last Updated on October 6, 2023 by Editorial Team Author(s): thisisagencypromax Originally published on Towards AI. ChatGPT is Amazing But Overhyped — What It Can and Can’t Do Yet Photo by Mariia Shalabaieva on Unsplash Without a doubt, ChatGPT has been one of the biggest AI stories of the year. Analyze Shakespeare?

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LLM distillation demystified: a complete guide

Snorkel AI

LLMs’ flexibility dazzles, but most AI problems don’t require flexibility. What is LLM distillation? Data scientists can use distillation to jumpstart classification models or to align small-format generative AI (GenAI) models to produce better responses. What are the drawbacks of LLM distillation?

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LLM distillation demystified: a complete guide

Snorkel AI

LLMs’ flexibility dazzles, but most AI problems don’t require flexibility. What is LLM distillation? Data scientists can use distillation to jumpstart classification models or to align small-format generative AI (GenAI) models to produce better responses. What are the drawbacks of LLM distillation?

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Top 6 NLP Language Models Transforming AI In 2023

Topbots

As a testament to the remarkable progress in this area, several groundbreaking language models have emerged in recent years, pushing the boundaries of what machines can understand and generate. We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI.

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Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS

AWS Machine Learning Blog

The transformative power of advanced summarization capabilities will only continue growing as more industries adopt artificial intelligence (AI) to harness overflowing information streams. Understanding the strengths and weaknesses of these techniques can help guide selection and improvement efforts.

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