​[[{“value”:” Large language models (LLMs) are increasingly used in domains requiring complex reasoning, such as mathematical problem-solving and coding. These models can generate accurate outputs in several domains. However, a crucial aspect of their development is their ability to self-correct errors without external input, intrinsic… Read More »Google DeepMind Introduced Self-Correction via Reinforcement Learning (SCoRe): A New AI Method Enhancing Large Language Models’ Accuracy in Complex Mathematical and Coding Tasks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Personalization is essential in many language tasks, as users with similar needs may prefer different outputs based on personal preferences. Traditional methods involve fine-tuning language models for each user, which is resource-intensive. A more practical approach uses retrieval-based systems to customize outputs by referencing… Read More »Persona-Plug (PPlug): A Lightweight Plug-and-Play Model for Personalized Language Generation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The development of Artificial Intelligence (AI) models, especially in specialized contexts, depends on how well they can access and use prior information. For example, legal AI tools need to be well-versed in a broad range of previous cases, while customer care chatbots require specific… Read More »Contextual Retrieval: An Advanced AI Technique that Reduces Incorrect Chunk Retrieval Rates by up to 67% Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Symbolic regression is an advanced computational method to find mathematical equations that best explain a dataset. Unlike traditional regression, which fits data to predefined models, symbolic regression searches for the underlying mathematical structures from scratch. This approach has gained prominence in scientific fields like… Read More »LASR: A Novel Machine Learning Approach to Symbolic Regression Using Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Inference is the process of applying a trained AI model to new data, which is a fundamental step in many AI applications. As AI applications grow in complexity and scale, traditional inference stacks struggle with high latency, inefficient resource utilization, and limited scalability across… Read More »ZML: A High-Performance AI Inference Stack that can Parallelize and Run Deep Learning Systems on Various Hardware Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have made significant leaps in natural language processing, demonstrating remarkable generalization capabilities across diverse tasks. However, due to inconsistent adherence to instructions, these models face a critical challenge in generating accurately formatted outputs, such as JSON. This limitation poses a… Read More »Sketch: An Innovative AI Toolkit Designed to Streamline LLM Operations Across Diverse Fields Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gained significant attention due to their impressive performance, with the release of Llama 3.1 in July 2024 being a notable example. However, deploying these models in resource-constrained environments poses significant challenges due to their huge parameter count. Low-bit quantization… Read More »Comprehensive Evaluation of Quantized Instruction-Tuned LLMs: Exploring Quantization Methods for Models Ranging from 7B to 405B Parameters Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Traditional search engines have predominantly relied on text-based queries, limiting their ability to process and interpret the increasingly complex information found online today. Many modern websites feature both text and images. Yet, the ability of conventional search engines to handle these multimodal queries, those… Read More »MMSearch Engine: AI Search with Advanced Multimodal Capabilities to Accurately Process and Integrate Text and Visual Queries for Enhanced Search Results Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era of AI-transforming industries, CodeMaker AI has achieved a landmark breakthrough by autonomously recreating a 90,000-line software library with an astounding 91% similarity to the original codebase. This achievement marks a significant shift in how AI can be utilized in software development,… Read More »CodeMaker AI Breakthrough in Software Development: Achieves 91% Accuracy in Recreating 90,000 Lines of Code, Setting a New Benchmark for AI-driven code Generation and Fine-Tuned Model Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recommendation systems have become the foundation for personalized services across e-commerce, streaming, and social media platforms. These systems aim to predict user preferences by analyzing historical interactions, allowing platforms to suggest relevant items or content. The accuracy & effectiveness of these systems depends heavily… Read More »ByteDance Introduced Hierarchical Large Language Model (HLLM) Architecture to Transform Sequential Recommendations, Overcoming Cold-Start Challenges, and Enhancing Scalability with State-of-the-Art Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost