Remove 2024 Remove AI Remove Inference Engine
article thumbnail

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

Marktechpost

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.

article thumbnail

Mistral AI Introduces Les Ministraux: Ministral 3B and Ministral 8B- Revolutionizing On-Device AI

Marktechpost

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.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows

Marktechpost

Katanemo has open-sourced Arch-Function , making scalable agentic AI accessible to developers, data scientists, and enterprises. By open-sourcing this tool, Katanemo enables the global AI community to contribute and adopt its capabilities. All credit for this research goes to the researchers of this project.

article thumbnail

Graph-Constrained Reasoning (GCR): A Novel AI Framework that Bridges Structured Knowledge in Knowledge Graphs with Unstructured Reasoning in LLMs

Marktechpost

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Graph-Constrained Reasoning (GCR): A Novel AI Framework that Bridges Structured Knowledge in Knowledge Graphs with Unstructured Reasoning in LLMs appeared first on MarkTechPost.

LLM 109
article thumbnail

MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost

Marktechpost

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.

article thumbnail

This AI Paper from Meta AI Highlights the Risks of Using Synthetic Data to Train Large Language Models

Marktechpost

The results are particularly concerning given the increasing reliance on synthetic data in large-scale AI systems. Although there are situations where increasing model size may slightly mitigate the collapse, it does not entirely prevent the problem. If you like our work, you will love our newsletter.

article thumbnail

Stanford Researchers Propose LoLCATS: A Cutting Edge AI Method for Efficient LLM Linearization

Marktechpost

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