​[[{“value”:” Deploying Retrieval-Augmented Generation (RAG) applications in enterprise environments can be complex. Many enterprises struggle with the intricacies of setting up and configuring these applications, especially when dealing with the nuances of different cloud infrastructures and ensuring security. Existing solutions attempt to address these challenges.… Read More »RAGApp: An AI Starter Kit to Build Your Own Agentic RAG in the Enterprise as Simple as Using GPTs Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Home Table of Contents Exploring Oobabooga Text Generation Web UI: Installation, Features, and Fine-Tuning Llama Model with LoRA Introduction What’s in Store for You? Overview of Oobabooga Text Generation Web UI Interface Overview User Interaction Model Response Action Buttons Why Is Oobabooga Text Generation… Read More »Exploring Oobabooga Text Generation Web UI: Installation, Features, and Fine-Tuning Llama Model with LoRA Aditya Sharma PyImageSearch

​[[{“value”:” Research on Multimodal large language models (MLLMs) focuses on integrating visual and textual data to enhance artificial intelligence’s reasoning capabilities. By combining these modalities, MLLMs can interpret complex information from diverse sources such as images and text, enabling them to perform tasks like visual… Read More »Math-LLaVA: A LLaVA-1.5-based AI Model Fine-Tuned with MathV360K Dataset Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A major challenge in computer vision and graphics is the ability to reconstruct 3D scenes from sparse 2D images. Traditional Neural Radiance Fields (NeRFs), while effective for rendering photorealistic views from novel perspectives, are inherently limited to forward rendering tasks and cannot invert to… Read More »Pruner-Zero: A Machine Learning Framework for Symbolic Pruning Metric Discovery for Large Language Models (LLMs) Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mental illness is a critical global public health issue, with one in eight people affected and many lacking access to adequate treatment. A significant challenge in mental health professional training is the disconnect between formal education and real-world patient interactions. A study interviewed 12… Read More »Can Large Language Models Simulate Patients with Mental Health Conditions? Meet Patient-Ψ: A Novel Patient Simulation Framework for Cognitive Behavior Therapy (CBT) Training Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) has seen significant advancements through game-playing agents like AlphaGo, which achieved superhuman performance via self-play techniques. Self-play allows models to improve by training on data generated from games played against themselves, proving effective in competitive environments like Go and chess. This… Read More »This AI Paper by UC Berkeley Explores the Potential of Self-play Training for Language Models in Cooperative Tasks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Traditional AI inference systems often rely on centralized servers, which pose scalability limitations, privacy risks, and require trust in centralized authorities for reliable execution. These centralized models are also at risk to single points of failure and data breaches, limiting widespread adoption and innovation… Read More »Meet Rakis: A Decentralized Verifiable Artificial Intelligence AI Network in the Browser Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Optimizing the efficiency of Feedforward Neural Networks (FFNs) within Transformer architectures is a significant challenge in AI. Large language models (LLMs) are highly resource-intensive, requiring substantial computational power and energy, which restricts their applicability and raises environmental concerns. Efficiently addressing this challenge is crucial… Read More »Cutting Costs, Not Performance: Structured FeedForward Networks FFNs in Transformer-Based LLMs Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have gained significant attention in recent years, but their safety in multilingual contexts remains a critical concern. Researchers are grappling with the challenge of mitigating toxicity in non-English languages, a problem that has been largely overlooked despite substantial investments in… Read More »Researchers at Brown University Explore Zero-Shot Cross-Lingual Generalization of Preference Tuning in Detoxifying LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural language processing (NLP) has experienced significant growth, largely due to the recent surge in the size and strength of large language models. These models, with their exceptional performance and unique characteristics, are rapidly making a significant impact in real-world applications. These considerations have… Read More »How Valuable is Interpretability and Analysis Work for NLP Research? This Paper Investigate the Impact of Interpretability and Analysis Research on NLP Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost