Tanushree Shenwai is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Bhubaneswar. She is a Data Science enthusiast and has a keen interest in the scope of application of artificial intelligence in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.
Traditional survey-based approaches for measuring public opinion have limitations, but public opinion reflects and influences society's behavior. Questions about the extent to which AI...
High deployment costs are a growing worry as huge foundation models (e.g., GPT-3.5/GPT-4) (OpenAI, 2023) are deployed in many practical contexts. Although quantization, pruning,...
There is no exaggeration in saying that ChatGPT-like concepts have had a revolutionary effect on the digital world. For this reason, the AI open-source...
Computer vision relies heavily on segmentation, the process of determining which pixels in an image represents a particular object for uses ranging from analyzing...
Systems like ChatGPT, Bard, Bing Chat, and Claude can answer various user queries, provide sample code, and even produce poetry thanks to large language...
Large-scale corpora and cutting-edge hardware enable LLMs to generate models with extraordinary understanding and generative power, raising the bar for language problems. Recent developments...
Databricks presents Dolly, a low-cost LLM that demonstrates surprisingly high levels of the instruction-following abilities seen in ChatGPT. This work indicates that anyone with...
Decision-making and knowledge-intensive search are two essential skills for large-scale natural language agents in unfamiliar settings. OpenAI's GPT-3 and Google's PaLM are just two...
It has always been challenging to launch an annotation effort. A team of researchers introduce The Portable Text Annotation tool (Potato), a web-based application...
The transformer architecture has become a go-to choice for representing various domain structures. The empirical inductive biases of the transformer make it a good...
The excellent performance of transformers in computer vision and natural language processing justifies research into the internal representations of these systems. Methods that involve...
