Artificial Intelligence (AI) is making strides in the data analysis sphere, with teams of researchers developing new applications to convert unstructured data into usable information. Recently, one such application was introduced, known as the Neo4j LLM Knowledge Graph Builder. This tool leverages powerful machine learning models to transform unstructured data into a comprehensive knowledge graph,…
The use of offline web and AI apps often encounters several hurdles. Users typically face multiple steps to get an app up and running, and those who aren't technically proficient may find the process confusing and lengthy. Furthermore, the management and customization of these apps often necessitate manual file editing, exacerbating the problem.
However, the introduction…
The use of advanced AI models for code generation continues to gain momentum in the developer community. However, the execution of AI-generated codes presents a major challenge due to security issues and the need for considerable setup. The ideal tool for executing such codes would be able to support numerous programming languages and frameworks without…
Recruiting the right candidates, both inbound and outbound, often presents recruiters with a strenuous and time-consuming challenge, which often results in lengthy hiring processes, missed opportunities, and sub-par recruitment choices. This is where Serra comes into play.
Serra is an artificial intelligence (AI)-powered candidate search engine designed to ease the recruitment process. It enables recruiters…
The importance of speed and efficiency in computer graphics and simulation cannot be understated. However, developing high-performance simulations that can run seamlessly on various hardware configurations remains a task filled with complexity and precision. Traditional methods may not fully exploit the potential of modern graphics processing units (GPUs), thereby inhibiting performance, especially for real-time or…
IBM researchers are working on addressing the challenge of digging out beneficial insights from large databases, a problem often encountered in businesses. The volume and variety of data are overwhelming and can pose a significant challenge for employees to find the necessary information. Writing SQL codes, needed to retrieve data across multiple programs and tables,…
IBM researchers have taken a major step toward simplifying the process of extracting valuable insights from large business databases. Currently, these databases are queried using Structured Query Language (SQL), a dominating language for database interactions. However, SQL proficiency typically lies within a small group of data professionals, presenting a barrier to broader data access and…
Large Language Models (LLMs) are effectively used as task assistants, retrieving essential information to satisfy users' requests. However, a common problem experienced with LLMs is their tendency to provide erroneous or 'hallucinated' responses. Hallucination in LLMs refers to the generation of information that is not based on actual data or knowledge received during the model's…
Mac users often prefer applications that are specific, minimal, and user-friendly. The web-based interface Jupyter, while focusing on functionality, may not fully satisfy the needs of the Mac ecosystem as it requires more mouse interaction and offers fewer keyboard shortcuts. This leads to a less efficient workflow for Mac users, who traditionally depend heavily on…
Software development teams often grapple with the complexities of product insights and monitoring, testing, end-to-end analytics and surfacing errors. These tasks could consume significant development time often due to developers having to build internal tools for addressing these issues. Focus has mainly been on numerical metrics like concerning click through rate (CTR) and conversion rates.…
Data handling and analytics, especially large volumes extracted from a variety of documents, have always been a challenging task that has predominantly required proprietary solutions. Open Contracts aims to revolutionize this by providing a free, open-source platform for democratizing document analytics.
The platform, licensed under Apache-2, uses AI and Large Language Models (LLMs) to enable…
The impact of Artificial Intelligence (AI) has been steadily growing, which has led to the development of Large Language Models (LLMs). Engaging with AI literature is a good way to keep up with its advancements. Here are the top AI books to read in 2024:
1. "Deep Learning (Adaptive Computation and Machine Learning series)": This book…