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Optical flow estimation, a key aspect of computer vision, enables the prediction of per-pixel motion between sequential images. It is used to drive advances in various applications ranging from action recognition and video interpolation, to autonomous navigation and object tracking systems. Traditionally, advancements in this area are driven by more complex models aimed at achieving…

Large Language Models (LLMs) like ChatGPT and Llama have performed impressively in numerous Artificial Intelligence (AI) applications, demonstrating proficiency in tasks such as question answering, text summarization, and content generation. Despite their advancements, concerns about their misuse, in propagating false information and abetting illegal activities, persist. To mitigate these, researchers are committed to incorporating alignment…

The development of large language models (LLMs) that can understand and interpret the subtleties of human language is a complex challenge in natural language processing (NLP). Even then, a significant gap remains, especially in the models' capacity to understand and use context-specific linguistic features. Researchers from Georgetown University and Apple have made strides in this…

Artificial intelligence, particularly large language models (LLMs), has advanced significantly due to reinforcement learning from human feedback (RLHF). However, there are still challenges associated with creating original content purely based on this feedback. The development of LLMs has always grappled with optimizing learning from human feedback. Ideally, machine-generated responses are refined to closely mimic what a…

Nomic AI unveils the Nomic Embed, an open-source, auditable, and high-performing text embedding model with an extended context length. The release addresses the restricted openness and auditability of pre-existing models such as the OpenAI's text-embedding-ada-002. Nomic Embed incorporates a multi-stage training pipeline based on contrastive learning and provides an 8192 context length, ensuring reproducibility and…

Researchers from Pinterest have developed a reinforcement learning framework to enhance diffusion models - a set of generative models in Machine Learning that add noise to training data and then learn to recover it. This exciting advancement allows the models to accomplish top-tier image quality. These models' performance, however, largely relies on the training data's…

Artificial Intelligence aims to automate everyday computer operations through autonomous agents capable of reasoning, planning, and acting independently. A significant challenge in this field is devising agents that can easily operate computers, handle textual and visual inputs, grasp complex language commands and execute tasks to meet predefined objectives. Existing research and benchmarks have mainly focused…

In the rapidly evolving world of natural language processing (NLP), the advent of large language models (LLMs) has made remarkable strides. However, their application in real-world scenarios is often curtailed by the vast computational resources they require. This has prompted researchers to examine the feasibility of smaller, resource-efficient LLMs in tasks like meeting summarization. Traditionally,…

In 2022, I secured my first Data Science (DS) job, credited in part to my online portfolio. Today, I'm dismantling this portfolio and starting anew. An online portfolio is a crucial tool for a data scientist or anyone venturing into this field. It effectively highlights your skills to potential employers. My initial portfolio, created in…

Introduction: Business analysts often find themselves overwhelmed with the amount of meeting data and lack of insights. Nanonets Workflow Automation aims to turn this issue around by integrating with Calendly to automate the categorization and analysis of meeting data. The software provides insights into elements like meeting frequency, duration, and attendee engagement. This tool can…

QuickBooks has been delivering centralized business accounting solutions since its launch in 1992. Over the years, it has adapted to evolving customer demands, offering a wide range of QuickBooks add-ons that improve the accounting cycle. These add-ons range from enhanced document storage to better customer relationship management, tailored to meet your business goals. In 2024,…

Artificial intelligence has witnessed significant progress with the creation of large language models (LLMs). Techniques such as reinforcement learning from human feedback (RLHF) have dramatically improved AI's ability to execute various tasks. However, generating new content based purely on human feedback presents a challenge. Optimizing the LLM's learning process from human feedback is an essential…