Marktechpost

OCTOBER 15, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization appeared first on MarkTechPost. Don’t Forget to join our 50k+ ML SubReddit.

Artificial Intelligence 125

Artificial Intelligence Artificial Intelligence Automation Inference Engine 125

Flipboard

AUGUST 24, 2023

the creator of a programming language optimized for developing artificial intelligence software, has raised $100 million in fresh funding.General Catalyst led the investment, which w Modular Inc.,

Inference Engine 122

Inference Engine Artificial Intelligence Artificial Intelligence AI 122

Flipboard

NOVEMBER 12, 2024

Inference speed is a hot topic right now as companies rush to fine-tune and build their own AI models. Conversations around test-time compute are …

Inference Engine 132

Inference Engine AI AI AI Modeling 132

Unite.AI

DECEMBER 3, 2024

Within a month, he made the decision to pivot toward AI cloud infrastructure. AI’s rapid development and the wave of new business opportunities it brings are either impossible to foresee or hard to describe. Can you tell us about GMI Cloud’s mission to simplify AI infrastructure and why this focus is so crucial in today’s market?

Inference Engine 162

Inference Engine Automation Artificial Intelligence Artificial Intelligence 162

Unite.AI

NOVEMBER 25, 2024

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. Strategy, Observer) 1. GPU memory ).

Python 147

Python LLM AI Engineer AI 147

Marktechpost

OCTOBER 31, 2024

In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists and machine learning engineers, one of the biggest frustrations has been the slow and often cumbersome process of loading trained models for inference.

Data Scientist 80

Data Scientist Inference Engine Machine Learning AI Modeling 80

AWS Machine Learning Blog

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. 1B", "prompt": "What is Gen AI?", "temperature":0, "max_tokens": 128}' | jq '.choices[0].text' 1B is running.

LLM 90

LLM AI AI Artificial Intelligence 90

Unite.AI

SEPTEMBER 24, 2024

Artificial Intelligence (AI) has moved from a futuristic idea to a powerful force changing industries worldwide. AI-driven solutions are transforming how businesses operate in sectors like healthcare, finance, manufacturing, and retail. However, scaling AI across an organization takes work.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Marktechpost

FEBRUARY 21, 2025

SGLang is an open-source inference engine designed by the SGLang team to address these challenges. It optimizes CPU and GPU resources during inference, achieving significantly higher throughput than many competitive solutions. Also,feel free to follow us on Twitter and dont forget to join our 75k+ ML SubReddit.

Inference Engine 84

Inference Engine LLM Large Language Models Metadata 84

Marktechpost

FEBRUARY 26, 2025

Modern AI systems rely on vast datasets of token trillions to improve their accuracy and efficiency. Researchers at the Allen Institute for AI introduced olmOCR , an open-source Python toolkit designed to efficiently convert PDFs into structured plain text while preserving logical reading order.

Metadata 82

Metadata Inference Engine Deep Learning AI 82

Marktechpost

MAY 23, 2024

Artificial Intelligence is undergoing rapid evolution, especially regarding the training of massive language models (LLMs) with parameters exceeding 70 billion. OpenRLHF leverages two key technologies: Ray, the Distributed Task Scheduler, and vLLM, the Distributed Inference Engine.

Inference Engine 132

Inference Engine LLM Artificial Intelligence Artificial Intelligence 132

Marktechpost

OCTOBER 25, 2024

In the evolving landscape of artificial intelligence, one of the most persistent challenges has been bridging the gap between machines and human-like interaction. Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations.

Large Language Models 125

Large Language Models Inference Engine Artificial Intelligence Artificial Intelligence 125

Marktechpost

JULY 20, 2024

Together AI has unveiled a groundbreaking advancement in AI inference with its new inference stack. This stack, which boasts a decoding throughput four times faster than the open-source vLLM, surpasses leading commercial solutions like Amazon Bedrock, Azure AI, Fireworks, and Octo AI by 1.3x

Generative AI 109

Generative AI Inference Engine AI AI 109

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. ’s reliability.

AI Modeling 117

AI Modeling Large Language Models Natural Language Processing Inference Engine 117

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.

Inference Engine 139

Inference Engine Large Language Models Software Development AI 139

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. A major issue facing NLP is sustaining coherence over long texts. Check out the Paper. Don’t Forget to join our 55k+ ML SubReddit.

NLP 113

NLP Natural Language Processing Inference Engine BERT 113

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 20, 2024

Large language models (LLMs) have revolutionized the field of artificial intelligence by performing a wide range of tasks across different domains. To overcome these limitations, researchers from Cohere AI have introduced an innovative approach based on model merging. Check out the Paper.

AI Researcher 116

AI Researcher AI Research Inference Engine AI 116

Marktechpost

OCTOBER 24, 2024

Vision-language models (VLMs) are gaining prominence in artificial intelligence for their ability to integrate visual and textual data. In response, researchers from Salesforce AI Research introduced BLIP-3-Video, an advanced VLM specifically designed to address the inefficiencies in video processing.

AI Researcher 122

AI Researcher AI Research Inference Engine Artificial Intelligence 122

Marktechpost

OCTOBER 23, 2024

The advancement of artificial intelligence often reveals new ways for machines to augment human capabilities. Anthropic AI’s latest innovation introduces features designed to overcome critical limitations in AI-human interactions. Anthropic AI introduces computer use, a new Claude 3.5 Sonnet, and Claude 3.5

Natural Language Processing 104

Natural Language Processing Inference Engine NLP AI 104

Unite.AI

JULY 18, 2024

AI hardware is growing quickly, with processing units like CPUs, GPUs, TPUs, and NPUs, each designed for specific computing needs. This variety fuels innovation but also brings challenges when deploying AI across different systems. As AI processing units become more varied, finding effective deployment strategies is crucial.

Neural Network 162

Neural Network AI Modeling AI AI 162

Marktechpost

OCTOBER 22, 2024

Reinforcement learning (RL) has been pivotal in advancing artificial intelligence by enabling models to learn from their interactions with the environment. RLHF ensures that AI systems behave in ways aligned with human values. While this method improves alignment, it can be inefficient.

Inference Engine 117

Inference Engine Large Language Models LLM AI 117

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

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.

Inference Engine 113

Inference Engine Machine Learning AI AI 113

Marktechpost

SEPTEMBER 6, 2024

The integration with Google search through a specialized API enhances the breadth of information available, while a powerful inference engine ensures efficient processing. In conclusion, OpenPerPlex represents a significant advancement in AI-powered search engines by addressing key limitations of traditional systems.

Inference Engine 109

Inference Engine Algorithm AI AI 109

Marktechpost

OCTOBER 28, 2024

Researchers from the Gaoling School of Artificial Intelligence and Microsoft Corporation have introduced a novel framework called SPEED. Such reliance on proprietary models can limit scalability and efficiency, highlighting the need for innovative, resource-conscious alternatives that maintain data quality without excessive costs.

NLP 113

NLP Natural Language Processing Inference Engine Large Language Models 113

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. Check out the Paper , Model Series on Hugging Face , and GitHub. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

OCTOBER 15, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost appeared first on MarkTechPost.

Inference Engine 130

Inference Engine AI AI ML 130

Unite.AI

JANUARY 17, 2024

Due to their exceptional content creation capabilities, Generative Large Language Models are now at the forefront of the AI revolution, with ongoing efforts to enhance their generative abilities. Moreover, to operate smoothly, generative AI models rely on thousands of GPUs, leading to significant operational costs. Let's begin.

Large Language Models 130

Large Language Models Inference Engine LLM Natural Language Processing 130

NVIDIA

JULY 23, 2024

Businesses seeking to harness the power of AI need customized models tailored to their specific industry needs. NVIDIA AI Foundry is a service that enables enterprises to use data, accelerated computing and software tools to create and deploy custom models that can supercharge their generative AI initiatives.

Generative AI 128

Generative AI AI Modeling AI AI 128

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. Check out the Models here.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

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

NVIDIA

APRIL 9, 2024

NVIDIA and Google Cloud have announced a new collaboration to help startups around the world accelerate the creation of generative AI applications and services. Startups in particular are constrained by the high costs associated with AI investments.

AI Development 135

AI Development AI Developer Generative AI Inference Engine 135

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). LoLCATS is a two-step method designed to efficiently improve the quality of linearized large language models without the need for expensive retraining on billions of tokens.

LLM 120

LLM Large Language Models Inference Engine AI 120

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

Towards AI

DECEMBER 20, 2023

Originally published on Towards AI. In the last article, we saw that a clever compiler, quantization, Speculative decoding, and tensor parallelism implemented by Pytorch II can lead to a significant boost in inference performance. PowerInfer exploits such an insight to design a GPU-CPU hybrid inference engine.

Inference Engine 119

Inference Engine LLM AI AI 119

Marktechpost

OCTOBER 19, 2024

Researchers from Shanghai Artificial Intelligence Laboratory, The Chinese University of Hong Kong, ByteDance, and The University of Hong Kong characterize the scaling behavior of diffusion models for text-to-image synthesis, establishing explicit scaling laws for DiT. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 104

Inference Engine Large Language Models Artificial Intelligence Artificial Intelligence 104