​[[{“value”:” In an era where generative artificial intelligence (GenAI) is rapidly transforming the landscape of business and technology, the specter of misinformation—unintentionally generated by these powerful tools—looms large. Recognizing the critical need for reliability and trust in AI-generated responses, Vectara has introduced a groundbreaking solution:… Read More »Vectara Releases the Factual Consistency Score (FCS): An AI Tool for Automated Hallucination Detection in Each Response It Generates Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep Neural Networks (DNNs) demonstrated tremendous improvement in numerous difficult activities, matching or even outperforming human ability. As a result of this accomplishment, DNNs were widely used in many safety- and security-critical applications, including autonomous driving, flight control systems, and medication development in healthcare.… Read More »Researchers from the University of York and Université Paris-Saclay Introduce DeepKnowledge for Generalisation-Driven Deep Learning Testing Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” X.ai has announced the release of Grok-1.5, an advanced version of the Grok-1 AI model with improved reasoning and a context length of 128,000 tokens. Here’s a quick breakdown of the key features and functionalities of Grok 1.5: Improved Reasoning: Grok-1.5 demonstrates significant improvements… Read More »X.ai Announces Grok 1.5: A Look at the Improved Reasoning and Long Context Capabilities Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving landscape of artificial intelligence, a new milestone has been achieved by AI chip-maker SambaNova Systems with its groundbreaking Samba-CoE v0.2 Large Language Model (LLM). This model has not only surpassed its contemporaries, including the newly released DBRX from Databricks but… Read More »SambaNova Systems Sets New Artificial Intelligence AI Efficiency Record with Samba-CoE v0.2 and Upcoming Samba-CoE v0.3: Beating Databricks DBRX Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, LLMs have transitioned from research tools to practical applications, largely due to their increased scale during training. However, as most of their computational resources are consumed during inference, efficient pretraining and inference are crucial. Post-training techniques like quantization, Low-Rank Adapters (LoRA),… Read More »Efficiency Breakthroughs in LLMs: Combining Quantization, LoRA, and Pruning for Scaled-down Inference and Pre-training Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s world, where data is distributed across various locations and privacy is paramount, Federated Learning (FL) has emerged as a game-changing solution. It enables multiple parties to train machine learning models collaboratively without sharing their data, ensuring that sensitive information remains locally stored… Read More »FedFixer: A Machine Learning Algorithm with the Dual Model Structure to Mitigate the Impact of Heterogeneous Noisy Label Samples in Federated Learning Vibhanshu Patidar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Continual Learning (CL) is a method that focuses on gaining knowledge from dynamically changing data distributions. This technique mimics real-world scenarios and helps improve the performance of a model as it encounters new data while retaining previous information. However, CL faces a challenge called… Read More »Researchers at the University of Maryland Propose a Unified Machine Learning Framework for Continual Learning (CL) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The significant computational demands of large language models (LLMs) have hindered their adoption across various sectors. This hindrance has shifted attention towards compression techniques designed to reduce the model size and computational needs without major performance trade-offs. This pivot is crucial in Natural Language… Read More »This AI Paper Explores the Impact of Model Compression on Subgroup Robustness in BERT Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformer-based language models, like BERT and T5, are adept at various tasks but struggle with infilling—generating text within a specific location while considering both preceding and succeeding contexts. Though encoder-decoder models can handle suffixes, their training data typically includes shorter infill regions than practical… Read More »OpenAI Enhances Language Models with Fill-in-the-Middle Training: A Path to Advanced Infilling Capabilities Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era where the demand for smarter, faster, and more efficient artificial intelligence (AI) solutions is continuously on the rise, AI21 Labs’ unveiling of Jamba marks a significant leap forward. Jamba, a pioneering SSM-Transformer model, heralds a new chapter in AI technology by… Read More »AI21 Labs Breaks New Ground with ‘Jamba’: The Pioneering Hybrid SSM-Transformer Large Language Model Asif Razzaq Artificial Intelligence Category – MarkTechPost