marktechpost1d
Reinforcement Learning
Novak Zivanic has made a significant contribution to the field of Natural Language Processing with the release of Embedić, a suite of Serbian text embedding models. These models are specifically ...
marktechpost3d
AI Shorts
Comet has unveiled Opik, an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for... With AI, the demand for high-quality ...
marktechpost3d
Natural Language Processing
Comet has unveiled Opik, an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for... With AI, the demand for high-quality ...
marktechpost3d
Hugging Face Repo Trends
Here is a list of trending Hugging Face Repos/Models/Datasets on marktechpost.com. This Page is updated daily for topics like LLMs/RAG/Generative AI/ ML/Vector Database….
marktechpost4d
Understanding the Inevitable Nature of Hallucinations in Large Language Models: A Call for Realistic Expectations and Management Strategies
Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress ...
marktechpost4d
FuXi-2.0: Advancement in Machine Learning ML-based Weather Forecasting for Practical Applications
ML models are increasingly used in weather forecasting, offering accurate predictions and reduced computational costs compared to traditional numerical weather prediction (NWP) models. However, ...
marktechpost4d
A Systematic Literature Review: Optimization and Acceleration Techniques for LLMs
Large language models (LLMs) have seen remarkable success in natural language processing (NLP). Large-scale deep learning models, especially transformer-based architectures, have grown exponentially ...
marktechpost4d
Deep Learning Approach for Lithium-Ion Battery Life Prediction via Dual-Stream Vision Transformer
Predicting battery lifespan is difficult due to the nonlinear nature of capacity degradation and the uncertainty of operating conditions. As battery lifespan prediction is vital for the reliability ...
marktechpost4d
Allen Institute for AI Researchers Propose SUPER: A Benchmark for Evaluating the Ability of LLMs to Set Up and Execute Research Experiments
Artificial Intelligence (AI) and Machine Learning (ML) have been transformative in numerous fields, but a significant challenge remains in the reproducibility of experiments. Researchers frequently ...
marktechpost4d
Learning and Knowledge Retrieval: A Comprehensive Framework for In-Context Learning in Large Language Models (LLMs)
Generative Large Language Models (LLMs) are capable of in-context learning (ICL), which is the process of learning from examples given within a prompt. However, research on the precise principles ...
marktechpost4d
NiNo: A Novel Machine Learning Approach to Accelerate Neural Network Training through Neuron Interaction and Nowcasting
In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and ...
marktechpost4d
Agent Zero: A Dynamic Agentic Framework Leveraging the Operating System as a Tool for Task Completion
AI assistants have the drawback of being rigid, pre-programmed for specific tasks, and in need of more flexibility. The limited utility of these systems stems from their inability to learn and adapt ...