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 Research 111

AI Research AI Researcher Categorization Inference Engine 111

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 111

LLM AI Research AI Researcher Inference Engine 111

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 109

AI Research AI Researcher Data Scarcity Inference Engine 109

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 115

Large Language Models Inference Engine AI AI 115

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 114

Auto-complete Inference Engine AI AI 114

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. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Neural Network 105

Neural Network Inference Engine Large Language Models AI 105

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. 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.

Large Language Models 115

Large Language Models Inference Engine AI AI 115

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 111

Large Language Models LLM AI Developer AI Development 111

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 105

Large Language Models Inference Engine LLM AI 105

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 64

Machine Learning Neural Network Inference Engine Natural Language Processing 64

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 115

LLM NLP Inference Engine Large Language Models 115

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 122

Large Language Models NLP Inference Engine Natural Language Processing 122