marktechpost4d
Minish Lab Releases Model2Vec: An AI Tool for Distilling Small, Super-Fast Models from Any Sentence Transformer
Minish Lab recently unveiled Model2Vec, a revolutionary tool designed to distill smaller, faster models from any Sentence Transformer. With this innovation, Minish Lab aims to provide researchers and ...
marktechpost5d
How Does the Tensor Brain Use Embeddings and Embodiment to Encode Senses and Decode Symbols?
In the significantly advancing fields of neuroscience and Artificial Intelligence (AI), the goal of comprehending and modeling human cognition has resulted in the creation of sophisticated models that ...
marktechpost5d
Nvidia AI Releases Llama-3.1-Nemotron-51B: A New LLM that Enables Running 4x Larger Workloads on a Single GPU During Inference
Nvidia unveiled its latest large language model (LLM) offering, the Llama-3.1-Nemotron-51B. Based on Meta’s Llama-3.1-70B, this model has been fine-tuned using advanced Neural Architecture Search (NAS ...
marktechpost5d
Google AI Releases Two Updated Production-Ready Gemini Models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002 with Enhanced Performance and Lower Costs
Google has just rolled out an exciting update to its Gemini models by releasing Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, offering production-ready versions, reduced pricing, and increased rate ...
marktechpost6d
CALM: Credit Assignment with Language Models for Automated Reward Shaping in Reinforcement Learning
Reinforcement Learning (RL) is a critical area of ML that allows agents to learn from their interactions within an environment by receiving feedback as rewards. A significant challenge in RL is ...
marktechpost6d
Enhancing Large Language Models with Diverse Instruction Data: A Clustering and Iterative Refinement Approach
Large language models (LLMs) have become a pivotal part of artificial intelligence, enabling systems to understand, generate, and respond to human language. These models are used across various ...
marktechpost4d
PromSec: An AI Algorithm for Prompt Optimization for Secure and Functioning Code Generation Using LLM
Software development has benefited greatly from using Large Language Models (LLMs) to produce high-quality source code, mainly because coding tasks now take less time and money to complete. However, ...
marktechpost4d
Iteration of Thought: An AI Framework for Enhancing LLM Responses by Generating “thought”-Provoking Prompts
Large Language Models (LLMs) have revolutionized natural language processing, enabling AI systems to perform a wide range of tasks with remarkable proficiency. However, researchers face significant ...
marktechpost4d
A Novel AI Approach to Multicut-Mimicking Networks for Hypergraphs with Constraints
Graph sparsification is a fundamental tool in theoretical computer science that helps to reduce the size of a graph without losing key properties. Although many sparsification methods have been ...
marktechpost5d
Source-Disentangled Neural Audio Codec (SD-Codec): A Novel AI Approach that Combines Audio Coding and Source Separation
Neural audio codecs have completely changed how audio is compressed and handled, by converting continuous audio signals into discrete tokens. This technique uses generative models trained on discrete ...
marktechpost6d
Trust-Align: An AI Framework for Improving the Trustworthiness of Retrieval-Augmented Generation in Large Language Models
Large language models (LLMs) have gained significant attention due to their potential to enhance various artificial intelligence applications, particularly in natural language processing. When ...
marktechpost5d
What if Facial Videos Could Measure Your Heart Rate? This AI Paper Unveils PhysMamba and Its Efficient Remote Physiological Solution
Accurately measuring physiological signals such as heart rate (HR) and heart rate variability (HRV) from facial videos using remote photoplethysmography (rPPG) presents several significant challenges.