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Supernova Release of Bitrix24: Fuelling Rapid Expansion with Enhanced Performance and Productivity

Bitrix24, a comprehensive platform offering task management and workflow automation solutions, has announced new features in its latest Supernova release. These updates are aimed at maximizing efficiency and productivity in businesses. Among the new features is "Bitrix24 Flows", a tool for visualizing tasks linked to organisational processes. This tool provides a clear view of task…

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Supernova Release of Bitrix24: Fuelling Rapid Expansion through Enhanced Efficiency and Productivity

Bitrix24 is a platform providing tools designed to improve collaboration, manage tasks and automate workflows. In its latest Supernova release, several new key features have been introduced. Flows is designed to visualise tasks linked to specific processes in an organization, offering a visual representation of a sequence of tasks. It provides real-time tracking, and identifies…

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Together AI presents the Mixture of Agents (MoA): a pioneering AI structure that utilizes the combined powers of numerous LLMs to enhance top-notch quality.

Together AI has announced an advancement in artificial intelligence with a new approach called the Mixture of Agents (MoA), also referred to as Together MoA. This model employs the combined strengths of multiple large language models (LLMs) to deliver increased performance and quality, setting a new standard for AI. The MoA's design incorporates layers, each containing…

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Together AI presents the Mixture of Agents (MoA): a novel AI infrastructure that enhances top-tier quality by collaboratively harnessing the capabilities of various Large Language Models (LLMs).

AI organization Together AI has made a significant step in AI by introducing a Mixture of Agents (MoA) approach, Together MoA, which integrates the strengths of multiple large language models (LLMs) to boost quality and performance, setting new AI benchmarks. MoA uses a layered design, with each level having several LLM agents. These agents use the…

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Progress in the sector of Bayesian Deep Neural Network Ensembles and Active Learning for Preference Modeling.

Machine learning has progressed significantly with the integration of Bayesian methods and innovative active learning strategies. Two research papers from the University of Copenhagen and the University of Oxford have laid substantial groundwork for further advancements in this area: The Danish researchers delved into ensemble strategies for deep neural networks, focusing on Bayesian and PAC-Bayesian (Probably…

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Introducing DeepSeek-Coder-V2 from DeepSeek AI, a pioneering open-source AI model that outperforms GPT4-Turbo in coding and mathematics tasks. Remarkably, it supports up to 338 languages and a context length of 128K.

Code intelligence, which uses natural language processing and software engineering to understand and generate programming code, is an emerging area in the technology sector. While tools like StarCoder, CodeLlama, and DeepSeek-Coder are open-source examples of this technology, they often struggle to match the performance of closed-source tools such as GPT4-Turbo, Claude 3 Opus, and Gemini…

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Microsoft Research Introduces AutoGen Studio: A Groundbreaking Low-Code Platform Transforming Multi-Agent AI Workflow Creation and Implementation

Microsoft Research has recently unveiled AutoGen Studio, a groundbreaking low-code interface meant to revolutionize the creation, testing, and implementation of multi-agent AI workflows. This tool, an offshoot of the successful AutoGen framework, aspires to democratize complex AI solution development by minimizing coding expertise requirements and fostering an intuitive, user-friendly environment. AutoGen, initially introduced in September…

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This AI article showcases a straight experimental juxtaposition of the 8B-Parameter Mamba, Mamba-2, Mamba-2-Hybrid, and Transformer Models, which have been trained on a maximum of 3.5 trillion tokens.

Transformer-based Large Language Models (LLMs) have become essential to Natural Language Processing (NLP), with their self-attention mechanism delivering impressive results across various tasks. However, this mechanism struggles with long sequences, since the computational load and memory requirements increase dramatically based on sequence length. Alternatives have been sought to optimize the self-attention layers, but these often…

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DuckDB: An Analytical In-Process SQL DBMS (Database Management System)

DuckDB is a high-performance in-process SQL database management system (DBMS). It is designed for complex and resource-intensive data analysis tasks, with a focus on speed, reliability, and user-friendliness. Its SQL dialect goes beyond basic SQL functionality, supporting complex queries such as nested and correlated subqueries, window functions, and unique data types like arrays and structures. One…

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