The 3D computer vision domain was flooded with NeRFs in recent years. They emerged as a groundbreaking technique and enabled the reconstruction and synthesis of novel views of a scene. NeRFs capture and model the underlying geometry and appearance information from a collection of multi-view images. By leveraging neural networks, NeRFs offer a data-driven approach…
SEO is a never-ending process that requires constant attention and updates – no matter how well-optimized your website is. When we take a look at how often Google makes changes to its algorithm, you might consider changing your SEO strategy and focusing on different parts of optimization at any given moment. In this post, we…
Large language models, such as PaLM, Chinchilla, and ChatGPT, have opened up new possibilities in performing natural language processing (NLP) tasks from reading instructive cues. The prior art has demonstrated that instruction tuning, which involves finetuning language models on various NLP tasks organized with instructions, further improves language models’ capacity to carry out an unknown…
Following all the buzz around AI, Google has finally confirmed that it’s not important how the content is created. Quality is what matters most. That means an appropriate use of AI is allowed considering you follow Google’s guidelines. Although AI has great potential, there are still some significant differences between AI-generated and human-written content that…
The remarkable results achieved by transformer-based models like GPT-2 and GPT-3 gravitated the research community toward exploring large language models (LLMs). Additionally, ChatGPT’s recent success and popularity have only served to increase people’s interest in LLMs. In-context learning and chain-of-thought prompting are two other major discoveries that have significantly improved the accuracy of the models….
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…
