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.
Multiple Natural Language Processing (NLP) tasks have been completed using a large-scale transformers architecture with state-of-the-art outcomes. Large-scale models are typically pre-trained on generic...
Significant advancements in speech technology have been made over the past decade, allowing it to be incorporated into various consumer items. It takes a...
Literature-based hypothesis generation is the central tenet of literature-based discovery (LBD). With drug discovery as its core application field, link-based hypothesis testing (LBD) focuses...
For a long time, the next-word prediction was the go-to method for estimating the linguistic information present, making language modeling a vital study area....
At Meta, AI workloads are everywhere, serving as the foundation for numerous applications like content comprehension, Feeds, generative AI, and ad ranking. Thanks to...
The Internet is transitioning toward an edge-computing architecture to accommodate latency-sensitive DNN workloads in the developing Internet of Things and mobile computing application domains....
Modern large language models (LLMs) are capable of a wide range of impressive feats, including the appearance of solving coding assignments, translating between languages,...
When it comes to tackling reasoning-based problems, large language models (LLMs) have a terrible reputation. Their reasoning performance can, however, be greatly enhanced by...
Many businesses (OpenAI, AI21, CoHere, etc.) are providing LLMs as a service, given their attractive potential in commercial, scientific, and financial contexts. While GPT-4...
Human skill relies heavily on the capacity to handle items beyond simple grabbing. Pushing, flipping, toppling, and sliding are examples of non-prehensile manipulation, and...
CoT prompting uses a step-by-step explanation to guide a big language model to develop a response. CoT prompting has been demonstrated to increase productivity...
