Artificial intelligence refers to a computer program or machine that has been designed to carry out tasks usually requiring human input. To put it simply – it is an artificial version of human intelligence. In 1965, political scientist Herbert Simon predicted that machines would be capable of doing anything a human could within twenty years….
In-context learning is a recent paradigm where a large language model (LLM) observes a test instance and a few training examples as its input and directly decodes the output without any update to its parameters. This implicit training contrasts with the usual training where the weights are changed based on the examples. Here comes the…
The Mayor of New York City, Eric Adams, was at Google’s NYC offices for an event. Here is a photo of Mayor Adams, Chancellor Banks, and Chancellor Matos-Rodriguez all came together this morning to announce the expansion of Future Ready NYC, a groundbreaking program aimed at equipping New York City students with the skills they…
Though recent advances have been made in large language model (LLM) reasoning, LLMs still have a hard time with hierarchical multi-step reasoning tasks like developing sophisticated programs. Human programmers, in contrast to other token generators, have (usually) learned to break down difficult tasks into manageable components that work alone (modular) and work together (compositional). As…
On Friday afternoon, Twitter decided to block unregistered, signed-out users, from seeing public tweets. That meant that for Google’s normal crawling purposes, it was unable to see some of these tweets. It seems that Google now has about 52% fewer Twitter URLs in its index today than it had on Friday, just a few days…
Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size. A model’s parameters are the components learned from previous training data and, in essence,…
With the rise of large language models (LLMs), mass-produced AI content is becoming more prevalent and the risk of incorrect information spreading also grows. Thus, it is increasingly important for search engines and answer machines to identify trustworthy and authoritative sources and weed out all others. This recent evolution in SEO requires new tasks, skills…
Stability AI is a startup in the field of artificial intelligence best known for its Stable Diffusion image-generating AI technology. Today it has introduced a new free and open-source language model called StableLM. The model is offered in three different parameter sizes for the Alpha phase: three billion, seven billion, fifteen billion, and sixty-five billion….
On Saturday morning many of us were surprised to see that Universal Analytics 3, Google Analytics (not GA4) still showed to be collecting data, after the deadline. Well, Google said it takes time for sites to be shut down and it will happen, even though many sites are still collecting data. Google posted on Twitter…
Recently, huge language models have shown impressive generative skills, allowing them to handle a wide variety of problems. Typically, “prompting” is used to condition generation, either with task instructions and context or with a small number of samples. However, problems, including hallucination, deterioration, and wandering, have been observed in language generation, especially with smaller models….