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Many businesses employ one of the many database management systems available today, picking the one that best suits their needs. Every service out there, be it a social media platform, a payment app, a booking service, etc., stores massive quantities of data on its server. So, it’s not surprising that database administrator positions are rising…
Mapping protein sequences to their biological functions is crucial in biology, as proteins perform diverse roles in organisms. Functions are categorized using ontologies like Gene Ontology (GO) terms, Enzyme Commission (EC) numbers, and Pfam families. Computational predictions are essential due to the cost of lab experiments and rapid database growth. Techniques include homology-based methods, which…
Query-as-a-Service (QaaS), also called serverless query processing, is a method of running analytical queries on the cloud. Serverless query engines, like AWS Athena and Google BigQuery, automate resource management and scalability operations in contrast to traditional query engines that demand a large amount of manual labor. For individuals without extensive technical knowledge, this automation greatly…
Building web applications can be challenging, especially for users unfamiliar with JavaScript, CSS, or HTML. It’s difficult to quickly create functional and visually appealing web apps, particularly when time is limited. Hence, delays in the development process can hinder productivity and innovation. Several tools are available to help with web development, such as traditional frameworks…
Recent advancements in large language models (LLMs) have significantly transformed the field of natural language processing (NLP), but their performance on existing benchmarks has begun to plateau. This stagnation makes it difficult to discern differences in model capabilities, hindering progress in AI research. Benchmarks like the Massive Multitask Language Understanding (MMLU) have played a crucial…
Research on Autonomous systems revolves around enhancing the capabilities of autonomous agents to explore complex environments effectively. This includes leveraging advanced algorithms and large-scale pre-trained models to improve the agents’ decision-making and exploration strategies. The goal is to create systems that can navigate and make decisions in environments where predefined rules and manual intervention fall…
AI is a pivotal tool for biotechnology, offering transformative solutions to many challenges. From drug discovery and safety to genomics, proteomics, and pharmacology, AI’s applications span a broad spectrum within the field. The effective utilization of advanced AI solutions is paramount for the continued progress of biotechnology, given its indispensable role in data storage, analysis,…
Grokking is a newly developed phenomenon where a model starts to generalize well long after it has overfitted to the training data. It was first seen in a two-layer Transformer trained on a simple dataset. In grokking, generalization occurs only after many more training iterations than overfitting. This requires high computational resources, making it less…
Tsinghua University’s Knowledge Engineering Group (KEG) has unveiled GLM-4 9B, a powerful new language model that outperforms GPT-4 and Gemini in various benchmarks. Developed by the Tsinghua Deep Model (THUDM) team, this open-source model marks a significant milestone in the field of natural language processing. At its core, GLM-4 9B is a massive language model…
The development of large language models (LLMs) has been a focal point in advancing NLP capabilities. However, training these models poses substantial challenges due to the immense computational resources and costs involved. Researchers continuously explore more efficient methods to manage these demands while maintaining high performance. A critical issue in LLM development is the extensive…