AI, AI Research and Inference Engine - Artificial Intelligence Zone

Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise

Marktechpost

OCTOBER 16, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise appeared first on MarkTechPost.

AI Researcher

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Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

Marktechpost

OCTOBER 15, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities appeared first on MarkTechPost.

Machine Learning

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Google AI Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation

Marktechpost

OCTOBER 16, 2024

Researchers from Google Cloud AI and the University of Illinois introduced innovative methods to improve the robustness and performance of RAG systems when using long-context LLMs. Current approaches must adequately address the risks of introducing misleading or irrelevant information, which can diminish the quality of LLM responses.

LLM

LLM AI Researcher AI Research Inference Engine

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Meta AI Releases Meta’s Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Marktechpost

OCTOBER 20, 2024

While AI has emerged as a powerful tool for materials discovery, the lack of publicly available data and open, pre-trained models has become a major bottleneck. The introduction of the OMat24 dataset and the corresponding models represents a significant leap forward in AI-assisted materials science.

Neural Network

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Salesforce AI Introduces ReGenesis: A Novel AI Approach to Improving Large Language Model Reasoning Capabilities

Marktechpost

OCTOBER 18, 2024

Researchers in AI are working to enable these models to perform not just language understanding but also complex reasoning tasks like problem-solving in mathematics, logic, and general knowledge. This gap in performance across varied tasks presents a barrier to creating adaptable, general-purpose AI systems. Check out the Paper.

Large Language Models

Large Language Models Inference Engine AI AI

Agent-as-a-Judge: An Advanced AI Framework for Scalable and Accurate Evaluation of AI Systems Through Continuous Feedback and Human-level Judgments

Marktechpost

OCTOBER 18, 2024

The lack of effective evaluation methods poses a serious problem for AI research and development. Current evaluation frameworks, such as LLM-as-a-Judge, which uses large language models to judge outputs from other AI systems, must account for the entire task-solving process.

Large Language Models

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MIND (Math Informed syNthetic Dialogue): How Structured Synthetic Data Improves the Mathematical and Logical Capabilities of AI-Powered Language Models

Marktechpost

OCTOBER 21, 2024

This research field is evolving rapidly as AI researchers explore new methods to enhance LLMs’ capabilities in handling advanced reasoning tasks, particularly in mathematics. Mathematical reasoning in AI is an area that presents unique challenges.

Large Language Models

Large Language Models Inference Engine AI AI

Refined Local Learning Coefficients (rLLCs): A Novel Machine Learning Approach to Understanding the Development of Attention Heads in Transformers

Marktechpost

OCTOBER 21, 2024

Artificial intelligence (AI) and machine learning (ML) revolve around building models capable of learning from data to perform tasks like language processing, image recognition, and making predictions. A significant aspect of AI research focuses on neural networks, particularly transformers.

Machine Learning

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CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions

Marktechpost

JUNE 8, 2023

A regular expression inference engine that effectively converts regular expressions to finite automata has been designed and implemented. Researchers have achieved competitive GPU utilization and runtimes (seconds) using both shortest path and randomized graph traversals.

Large Language Models

Large Language Models LLM Inference Engine AI

Flux by Black Forest Labs: The Next Leap in Text-to-Image Models. Is it better than Midjourney?

Unite.AI

AUGUST 12, 2024

Black Forest Labs , the team behind the groundbreaking Stable Diffusion model, has released Flux – a suite of state-of-the-art models that promise to redefine the capabilities of AI-generated imagery. Let's dive deep into the world of Flux and explore its potential to reshape the future of AI-generated art and media.

Generative AI

Generative AI Natural Language Processing Inference Engine AI Tools

This AI Paper from Google Presents a Set of Optimizations that Collectively Attain Groundbreaking Latency Figures for Executing Large Diffusion Models on Various Devices

Marktechpost

JUNE 19, 2023

Researchers from Google offer a set of modifications to the implementation of large diffusion models that allow for the fastest inference latency on mobile devices with GPUs to date. These updates improve the overall user experience across various devices and increase the scope of usage for generative AI.

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This AI Research from Cohere for AI Compares Merging vs Data Mixing as a Recipe for Building High-Performant Aligned LLMs

Marktechpost

OCTOBER 20, 2024

As AI technologies become globally pervasive, addressing the safety concerns that arise when models trained predominantly in English are deployed across various languages and cultural contexts is essential. To overcome these limitations, researchers from Cohere AI have introduced an innovative approach based on model merging.

AI Researcher

AI Researcher AI Research Inference Engine AI

Google AI Researchers Propose ‘MODEL SWARMS’: A Collaborative Search Algorithm to Flexibly Adapt Diverse LLM Experts to Wide-Ranging Purposes

Marktechpost

OCTOBER 17, 2024

Researchers from Google Cloud AI, Google DeepMind, and the University of Washington have proposed a new approach called MODEL SWARMS , which utilizes swarm intelligence to adapt LLMs through collaborative search in the weight space. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

LLM

LLM Algorithm AI Researcher AI Research

DIFFUSEARCH: Revolutionizing Chess AI with Implicit Search and Discrete Diffusion Modeling

Marktechpost

OCTOBER 21, 2024

Large Language Models (LLMs) have gained significant attention in AI research due to their impressive capabilities. Existing methods to address the challenges in AI-powered chess and decision-making systems include neural networks for chess, diffusion models, and world models. Don’t Forget to join our 50k+ ML SubReddit.

Neural Network

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TOPS of the Class: Decoding AI Performance on RTX AI PCs and Workstations

NVIDIA

JUNE 12, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users. The era of the AI PC is here, and it’s powered by NVIDIA RTX and GeForce RTX technologies. Tokens are the output of the LLM.

LLM

LLM AI AI Generative AI

Controllable Safety Alignment (CoSA): An AI Framework Designed to Adapt Models to Diverse Safety Requirements without Re-Training

Marktechpost

OCTOBER 21, 2024

Pluralistic alignment Recent works have underscored the significance of incorporating pluralistic human values and cultures in AI alignment. Some researchers highlighted that AI should have “normative competence,” meaning the ability to understand and adjust to diverse norms, promoting safety pluralism.

Large Language Models

Large Language Models Inference Engine AI AI

Setting Up a Training, Fine-Tuning, and Inferencing of LLMs with NVIDIA GPUs and CUDA

Unite.AI

JUNE 21, 2024

The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel computing platform. Installation When setting AI development, using the latest drivers and libraries may not always be the best choice.

Deep Learning

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Meet PowerInfer: A Fast Large Language Model (LLM) on a Single Consumer-Grade GPU that Speeds up Machine Learning Model Inference By 11 Times

Marktechpost

DECEMBER 23, 2023

The team has shared that PowerInfer is a GPU-CPU hybrid inference engine that makes use of this understanding. All credit for this research goes to the researchers of this project. It preloads cold-activated neurons onto the CPU for computation and hot-activated neurons onto the GPU for instant access.

Large Language Models

Large Language Models Machine Learning LLM Inference Engine

Meta AI Releases Meta Lingua: A Minimal and Fast LLM Training and Inference Library for Research

Marktechpost

OCTOBER 18, 2024

These barriers limit reproducibility, increase development time, and make experimentation challenging, particularly for academia and smaller research institutions. Addressing these issues requires a lightweight, flexible, and efficient approach that reduces friction in LLM research. If you like our work, you will love our newsletter.

LLM

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Deci Introduces DeciCoder: An Open-Source 1B-Parameter Large Language Model For Code Generation

Marktechpost

SEPTEMBER 1, 2023

In the fast-paced world of AI, efficient code generation is a challenge that can’t be overlooked. Addressing this efficiency gap head-on, Deci, a pioneering AI company, introduces DeciCoder, a 1-billion-parameter open-source Large Language Model (LLM) that aims to redefine the gold standard in efficient and accurate code generation.

Large Language Models

Large Language Models Inference Engine LLM Automation

Deci Introduces DeciCoder: An Open-Source 1B-Parameter Large Language Model For Code Generation

Marktechpost

AUGUST 25, 2023

In the fast-paced world of AI, efficient code generation is a challenge that can’t be overlooked. Addressing this efficiency gap head-on, Deci, a pioneering AI company, introduces DeciCoder, a 1-billion-parameter open-source Large Language Model (LLM) that aims to redefine the gold standard in efficient and accurate code generation.

Large Language Models

Large Language Models Inference Engine LLM Automation

Lin Qiao, CEO & Co-Founder of Fireworks AI – Interview Series

Unite.AI

APRIL 24, 2024

Lin Qiao, was formerly head of Meta's PyTorch and is the Co-Founder and CEO of Fireworks AI. Fireworks AI is a production AI platform that is built for developers, Fireworks partners with the world's leading generative AI researchers to serve the best models, at the fastest speeds. It even inspired our name!

AI

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Artificial Intelligence Zone

Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise

Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

Webinars

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Google AI Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation

Webinars

Meta AI Releases Meta’s Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Salesforce AI Introduces ReGenesis: A Novel AI Approach to Improving Large Language Model Reasoning Capabilities

Agent-as-a-Judge: An Advanced AI Framework for Scalable and Accurate Evaluation of AI Systems Through Continuous Feedback and Human-level Judgments

MIND (Math Informed syNthetic Dialogue): How Structured Synthetic Data Improves the Mathematical and Logical Capabilities of AI-Powered Language Models

Refined Local Learning Coefficients (rLLCs): A Novel Machine Learning Approach to Understanding the Development of Attention Heads in Transformers

CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions

Flux by Black Forest Labs: The Next Leap in Text-to-Image Models. Is it better than Midjourney?

This AI Paper from Google Presents a Set of Optimizations that Collectively Attain Groundbreaking Latency Figures for Executing Large Diffusion Models on Various Devices

This AI Research from Cohere for AI Compares Merging vs Data Mixing as a Recipe for Building High-Performant Aligned LLMs

Google AI Researchers Propose ‘MODEL SWARMS’: A Collaborative Search Algorithm to Flexibly Adapt Diverse LLM Experts to Wide-Ranging Purposes

DIFFUSEARCH: Revolutionizing Chess AI with Implicit Search and Discrete Diffusion Modeling

TOPS of the Class: Decoding AI Performance on RTX AI PCs and Workstations

Controllable Safety Alignment (CoSA): An AI Framework Designed to Adapt Models to Diverse Safety Requirements without Re-Training

Setting Up a Training, Fine-Tuning, and Inferencing of LLMs with NVIDIA GPUs and CUDA

Meet PowerInfer: A Fast Large Language Model (LLM) on a Single Consumer-Grade GPU that Speeds up Machine Learning Model Inference By 11 Times

Meta AI Releases Meta Lingua: A Minimal and Fast LLM Training and Inference Library for Research

Deci Introduces DeciCoder: An Open-Source 1B-Parameter Large Language Model For Code Generation

Deci Introduces DeciCoder: An Open-Source 1B-Parameter Large Language Model For Code Generation

Lin Qiao, CEO & Co-Founder of Fireworks AI – Interview Series

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