Marktechpost

OCTOBER 25, 2024

The Georgia Institute of Technology and Salesforce AI Research researchers introduce a new framework for evaluating RAG systems based on a metric called “sub-question coverage.” If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.

AI Researcher 108

AI Researcher AI Research Categorization Inference Engine 108

Marktechpost

FEBRUARY 26, 2025

percentage points on AI benchmark datasets like ARC Challenge and DROP. Compatible with inference engines like vLLM and SGLang, allowing flexible deployment on various hardware setups. All credit for this research goes to the researchers of this project. Improves language model training by increasing accuracy by 1.3

Metadata 81

Metadata Inference Engine Deep Learning AI 81

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 Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation appeared first on MarkTechPost.

LLM 108

LLM AI Research AI Researcher Inference Engine 108

Marktechpost

OCTOBER 26, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Meta AI Researchers Introduce Token-Level Detective Reward Model (TLDR) to Provide Fine-Grained Annotations for Large Vision Language Models appeared first on MarkTechPost.

AI Research 106

AI Research AI Researcher Data Scarcity Inference Engine 106

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 139

Large Language Models Machine Learning LLM Natural Language Processing 139

Marktechpost

OCTOBER 20, 2024

Researchers from Meta Fundamental AI Research (FAIR) have introduced the Open Materials 2024 (OMat24) dataset, which contains over 110 million DFT calculations, making it one of the largest publicly available datasets in this domain. If you like our work, you will love our newsletter.

Neural Network 112

Neural Network Inference Engine AI AI 112

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. In response to these limitations, researchers from Salesforce AI Research introduced a novel method called ReGenesis.

Large Language Models 112

Large Language Models Inference Engine AI AI 112

Marktechpost

JUNE 19, 2023

Due to these models’ considerable memory requirements and computational demands, running inference of large diffusion models (LDMs) on devices poses even larger hurdles, especially in light of the need for cost-effectiveness and user privacy. Check Out The Paper and Google AI Article.

Inference Engine 97

Inference Engine ML AI Tools Deep Learning 97

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.

Auto-complete 111

Auto-complete Inference Engine AI AI 111

Marktechpost

OCTOBER 21, 2024

Large Language Models (LLMs) have gained significant attention in AI research due to their impressive capabilities. However, their limitation lies with long-term planning and complex problem-solving. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Neural Network 103

Neural Network Inference Engine Large Language Models AI 103

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

Large Language Models 112

Large Language Models Inference Engine AI AI 112

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.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

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. If you like our work, you will love our newsletter.

Large Language Models 108

Large Language Models LLM AI Developer AI Development 108

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. Check Out The Paper , Github , and CMU Article.

Large Language Models 108

Large Language Models LLM Inference Engine AI 108

Marktechpost

OCTOBER 21, 2024

A team of researchers from Microsoft Responsible AI Research and Johns Hopkins University proposed Controllable Safety Alignment (CoSA) , a framework for efficient inference-time adaptation to diverse safety requirements. The adapted strategy first produces an LLM that is easily controllable for safety.

Large Language Models 104

Large Language Models Inference Engine LLM AI 104

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 61

Machine Learning Neural Network Natural Language Processing Inference Engine 61

Marktechpost

SEPTEMBER 1, 2023

By leveraging DeciCoder alongside Infery LLM, a dedicated inference engine, users unlock the power of significantly higher throughput – a staggering 3.5 link] Overall, DeciCoder is more than just a model; it’s a realization of AI efficiency’s potential. The implications of this development are profound.

Large Language Models 116

Large Language Models Inference Engine LLM Automation 116

Marktechpost

AUGUST 25, 2023

By leveraging DeciCoder alongside Infery LLM, a dedicated inference engine, users unlock the power of significantly higher throughput – a staggering 3.5 link] Overall, DeciCoder is more than just a model; it’s a realization of AI efficiency’s potential. The implications of this development are profound.

Large Language Models 98

Large Language Models Inference Engine LLM Automation 98

Marktechpost

OCTOBER 18, 2024

Meta Lingua’s importance lies in its ability to simplify the experimentation process for NLP researchers. In an era where large language models are at the forefront of AI research, having access to a robust yet simple-to-use tool can make all the difference. If you like our work, you will love our newsletter.

LLM 112

LLM NLP Inference Engine Large Language Models 112

Marktechpost

OCTOBER 24, 2024

Meta AI’s effort to push the boundaries of efficient AI modeling highlights the growing emphasis on sustainable, inclusive AI development—a trend that is sure to shape the future of AI research and application. All credit for this research goes to the researchers of this project.

Large Language Models 119

Large Language Models NLP Natural Language Processing Inference Engine 119

AI Impacts

OCTOBER 28, 2024

The result of using these methods and technologies would be an AI-powered inference engine we can query to see the rational support, empirical or otherwise, of key premises to arguments that bear on important practical decisions.

Automation 162

Automation Explainability AI AI 162