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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 Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 20, 202438Views0Likes0Comments
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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Large language models utilize a surprisingly straightforward method to access some stored information.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedJune 20, 202440Views0Likes0Comments
Large language models (LLMs), such as those which power AI chatbots like ChatGPT, are highly complex. While these powerful tools are used in diverse applications like customer support, code generation, and language translation, they remain somewhat of a mystery to the scientists who work with them. To develop a deeper understanding of their inner workings,…

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Large language models utilize an unexpectedly uncomplicated method to recall certain stored information.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedJune 20, 202436Views0Likes0Comments
Large language models (LLMs) that power artificial intelligence chatbots like ChatGPT are extremely complex and their functioning isn't fully understood. These LLMs are used in a variety of areas such as customer support, code generation and language translation. However, researchers from MIT and other institutions have made strides in understanding how these models retrieve stored…

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Implement a Slack portal for Amazon Bedrock.

Amazon API Gateway, Amazon Bedrock, AWS Lambda, Generative AI, Technical How-to, UncategorizedJune 20, 202442Views0Likes0Comments
Unveiling a game-changing integration, users can now harness the power of generative AI within their Slack workspace via Amazon Bedrock. This rich, new AI experience offers nimble brainstorming sessions, real-time ideation, and document or code snippet drafting. By eliminating distracting context switches, this integration streamlines workflow and powers team collaboration, making it ideal for managing…

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Understanding Microsoft Copilot: Is it Complimentary and How to Utilize It?

AI, Business, Copilot, Explainers, Industry, Microsoft, UncategorizedJune 19, 202435Views0Likes0Comments
Microsoft Copilot is a new AI companion designed to seamlessly integrate across various Microsoft services such as GitHub, Microsoft 365, Bing, and Windows. Copilot can understand and respond to natural language queries, eliminating the need for specific commands or complex syntax and enhancing user-friendly interactions with technology. Microsoft Copilot can handle a variety of tasks such…

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

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 19, 202427Views0Likes0Comments
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.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Tech News, Technology, UncategorizedJune 19, 202433Views0Likes0Comments
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

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 19, 202430Views0Likes0Comments
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.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 19, 202431Views0Likes0Comments
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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