Marktechpost

OCTOBER 27, 2024

By providing tools to enhance both code writing and documentation, Meta’s NotebookLlama supports a community-driven model that emphasizes transparency, openness, and flexibility—qualities often lacking in proprietary AI-driven software. Conclusion Meta’s NotebookLlama is a significant step forward in the world of open-source AI tools.

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AWS Machine Learning Blog

APRIL 20, 2023

Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. With advancements in hardware design, a wide range of CPU- and GPU-based infrastructures are available to help you speed up inference performance.

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Marktechpost

AUGUST 2, 2024

The Role of AI in Medicine: AI simulates human intelligence in machines and has significant applications in medicine. AI processes large datasets to identify patterns and build adaptive models, particularly in deep learning for medical image analysis, such as X-rays and MRIs.

Artificial Intelligence 122

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Marktechpost

MAY 23, 2024

OpenRLHF leverages two key technologies: Ray, the Distributed Task Scheduler, and vLLM, the Distributed Inference Engine. Don’t Forget to join our 42k+ ML SubReddit The post OpenRLHF: An Open-Source AI Framework Enabling Efficient Reinforcement Learning from Human Feedback RLHF Scaling appeared first on MarkTechPost.

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Marktechpost

AUGUST 5, 2024

Additionally, many of these search engines are not open-source, limiting the ability for broader community involvement and innovation. Introducing OpenPerPlex OpenPerPlex is an open-source AI-powered search engine designed to tackle these challenges head-on. OpenPerPlex’s effectiveness is driven by its robust tech stack.

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Inference Engine Machine Learning AI AI 113

Marktechpost

OCTOBER 16, 2024

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. Introducing Ministral 3B and Ministral 8B Mistral AI recently unveiled two groundbreaking models aimed at transforming on-device and edge AI capabilities—Ministral 3B and Ministral 8B.

Natural Language Processing 120

Natural Language Processing Inference Engine AI AI 120

Marktechpost

OCTOBER 15, 2024

Don’t Forget to join our 50k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Inference Engine 130

Inference Engine AI AI ML 130

Marktechpost

OCTOBER 21, 2024

With the release of LayerSkip, the research community now has access to a practical and effective tool for optimizing LLM inference, potentially paving the way for more accessible AI deployment in real-world applications. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

OCTOBER 25, 2024

Modern AI models excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents unique hurdles. Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations.

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Large Language Models Inference Engine Artificial Intelligence Artificial Intelligence 125

Marktechpost

OCTOBER 16, 2024

Current generative AI models face challenges related to robustness, accuracy, efficiency, cost, and handling nuanced human-like responses. There is a need for more scalable and efficient solutions that can deliver precise outputs while being practical for diverse AI applications. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 113

Large Language Models Inference Engine Generative AI AI 113

AWS Machine Learning Blog

MAY 8, 2023

SageMaker provides single model endpoints (SMEs), which allow you to deploy a single ML model, or multi-model endpoints (MMEs), which allow you to specify multiple models to host behind a logical endpoint for higher resource utilization. About the Authors Melanie Li is a Senior AI/ML Specialist TAM at AWS based in Sydney, Australia.

ML 98

ML BERT Deep Learning Auto-complete 98

Marktechpost

OCTOBER 14, 2024

Researchers from Stanford University, Together AI, California Institute of Technology, and MIT introduced LoLCATS (Low-rank Linear Conversion via Attention Transfer). Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

LLM 120

LLM Large Language Models Inference Engine AI 120

Marktechpost

OCTOBER 23, 2024

AI-generated content is advancing rapidly, creating both opportunities and challenges. As generative AI tools become mainstream, the blending of human and AI-generated text raises concerns about authenticity, authorship, and misinformation.

Large Language Models 109

Large Language Models Responsible AI Inference Engine Metadata 109

Marktechpost

OCTOBER 26, 2024

Despite progress in AI, most language models struggle with the intricate aspects of financial data. An AI professional recently released a new financial domain model, Hawkish 8B , which is making waves in the Reddit community with its remarkable capabilities. Don’t Forget to join our 55k+ ML SubReddit.

Inference Engine 128

Inference Engine NLP ML AI Modeling 128

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 113

Neural Network Inference Engine AI AI 113

Marktechpost

OCTOBER 21, 2024

Artificial intelligence is advancing rapidly, but enterprises face many obstacles when trying to leverage AI effectively. Traditional AI models often struggle with delivering such tailored performance, requiring businesses to make a trade-off between customization and general applicability. IBM has officially released Granite 3.0

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AI Modeling Large Language Models Natural Language Processing Inference Engine 117

Marktechpost

OCTOBER 17, 2024

Rule-based systems, traditional machine learning models, and basic AI-driven methods are conventional models for processing IoT data. Don’t Forget to join our 50k+ ML SubReddit. MARS Lab, NTU has devised an innovative IoT-LLM framework that combats the limitations of the LLM in handling real-world tasks.

LLM 123

LLM Inference Engine Large Language Models Machine Learning 123

Marktechpost

OCTOBER 26, 2024

However, recent advancements in generative AI have opened up new possibilities for creating an infinite game experience. Researchers from Google and The University of North Carolina at Chapel Hill introduced UNBOUNDED, a generative infinite game designed to go beyond traditional, finite video game boundaries using AI.

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Generative AI AI Modeling Large Language Models Inference Engine 116

Marktechpost

OCTOBER 25, 2024

In recent years, AI-driven workflows and automation have advanced remarkably. enabling developers to leverage the latest advancements in AI language models. Moreover, the OpenAI-compatible Assistants API and Python SDK offer flexibility in easily integrating these agents into broader AI solutions. Check out the GitHub.

Inference Engine 125

Inference Engine Automation Python AI 125

Marktechpost

OCTOBER 28, 2024

Firstly, the constant online interaction and update cycle in RL places major engineering demands on large systems designed to work with static ML models needing only occasional offline updates. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

Machine Learning 117

Machine Learning Algorithm Inference Engine ML 117

Marktechpost

OCTOBER 16, 2024

Don’t Forget to join our 50k+ ML SubReddit. 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.

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AI Research AI Researcher Inference Engine Algorithm 123

Marktechpost

OCTOBER 18, 2024

Meta AI releases Meta Lingua: a minimal and fast LLM training and inference library designed for research. By prioritizing simplicity and reusability, Meta AI hopes to facilitate a more inclusive and accelerated research environment. Don’t Forget to join our 50k+ ML SubReddit.

LLM 113

LLM NLP Inference Engine Large Language Models 113

Marktechpost

OCTOBER 24, 2024

Researchers from Salesforce AI Research have proposed Programmatic VLM Evaluation (PROVE), a new benchmarking paradigm that evaluates VLM responses to open-ended visual queries. Don’t Forget to join our 55k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

AI Research 119

AI Research AI Researcher Inference Engine Large Language Models 119

Marktechpost

OCTOBER 24, 2024

With OmniParser, Microsoft has made significant strides in enabling automated agents to identify actionable elements like buttons and icons purely based on screenshots, broadening the possibilities for developers working with multimodal AI systems. Don’t Forget to join our 55k+ ML SubReddit.

Metadata 125

Metadata Inference Engine Automation AI 125

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. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

LLM 113

LLM Algorithm AI Research AI Researcher 113

Marktechpost

OCTOBER 14, 2024

This framework aims to transform human-computer interaction by enabling AI agents to use the mouse and keyboard as humans would to complete complex tasks. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Inference Engine 120

Inference Engine Automation Continuous Learning AI 120

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 117

Large Language Models Inference Engine LLM Automation 117

Marktechpost

OCTOBER 18, 2024

Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

LLM 113

LLM Inference Engine Large Language Models AI 113

Marktechpost

OCTOBER 25, 2024

A major challenge in AI research is how to develop models that can balance fast, intuitive reasoning with slower, more detailed reasoning in an efficient way. In AI models, this dichotomy between the two systems mostly presents itself as a trade-off between computational efficiency and accuracy. Check out the Paper.

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Auto-complete Inference Engine AI AI 112

Marktechpost

OCTOBER 26, 2024

Artificial intelligence (AI) is making significant strides in natural language processing (NLP), focusing on enhancing models that can accurately interpret and generate human language. Resolving this issue is crucial to advancing AI applications that rely on natural language understanding and generation for effective and reliable performance.

NLP 113

NLP Natural Language Processing Inference Engine BERT 113

Marktechpost

OCTOBER 17, 2024

The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. These updates help PyTorch stay competitive in the fast-moving field of AI infrastructure. Don’t Forget to join our 50k+ ML SubReddit.

Machine Learning 122

Machine Learning Neural Network Data Scientist Inference Engine 122

Marktechpost

OCTOBER 26, 2024

This imbalance means that only a small portion of the world’s population can fully benefit from AI tools. The absence of robust language models for low-resource languages, coupled with unequal AI access, exacerbates disparities in education, information accessibility, and technological empowerment.

Natural Language Processing 104

Natural Language Processing Inference Engine NLP AI 104

Marktechpost

OCTOBER 18, 2024

Meta AI recently released Meta Spirit LM, an innovative open-source multimodal language model capable of freely mixing text and speech to address these limitations. This versatility positions Meta Spirit LM as a significant improvement over traditional multimodal AI models that typically operate in isolated domains.

Inference Engine 120

Inference Engine Large Language Models AI AI 120

Marktechpost

DECEMBER 23, 2023

The team has shared that PowerInfer is a GPU-CPU hybrid inference engine that makes use of this understanding. Also, don’t forget to join our 34k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Large Language Models 139

Large Language Models Machine Learning LLM Natural Language Processing 139

Marktechpost

OCTOBER 15, 2024

Google AI Releases Gemma-APS, a collection of Gemma models for text-to-propositions segmentation. With this release, Google AI is hoping to make text segmentation more accessible, with models optimized to run on varied computational resources. Don’t Forget to join our 50k+ ML SubReddit.

NLP 108

NLP Inference Engine Machine Learning AI 108

Marktechpost

OCTOBER 16, 2024

The results are particularly concerning given the increasing reliance on synthetic data in large-scale AI systems. Don’t Forget to join our 50k+ ML SubReddit. Although there are situations where increasing model size may slightly mitigate the collapse, it does not entirely prevent the problem.

Large Language Models 108

Large Language Models Neural Network Machine Learning Inference Engine 108

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.

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Large Language Models Inference Engine AI AI 113