​Aligning large language models (LLMs) with human expectations without human-annotated preference data is an important problem. In this paper, we propose a method to evaluate the response preference by using the output probabilities of response pairs under contrastive prompt pairs, which could achieve better performance… Read More »Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation Apple Machine Learning Research

​[[{“value”:” Kolmogorov-Arnold Networks (KANs) have emerged as a promising alternative to traditional Multi-Layer Perceptrons (MLPs). Inspired by the Kolmogorov-Arnold representation theorem, these networks utilize neurons that perform simple summation operations. However, the current implementation of KANs poses some challenges in practical applications. Currently, researchers are… Read More »The Kolmogorov-Arnold Theorem Revisited: Why Averaging Functions Work Better Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Magpie-ultra, a new dataset by the Argilla team for supervised fine-tuning, has been released, featuring 50,000 instruction-response pairs. This synthetically generated dataset utilizes the advanced Llama 3.1 405B-Instruct model and other Llama models like Llama-Guard-3-8B and Meta-Llama-3.1-8B-Instruct. The dataset covers various tasks, including coding,… Read More »Magpie-Ultra Dataset Released: Harnessing Llama 3.1 405B for Diverse AI Instruction-Response Pairs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have transformed artificial intelligence, particularly in developing agent-based systems. These systems require interacting with various environments and executing actions to achieve specific goals. Enhancing the planning capabilities of LLM-based agents has become a critical area of research due to the… Read More »AgentGen: Automating Environment and Task Generation to Enhance Planning Abilities in LLM-Based Agents with 592 Environments and 7,246 Trajectories Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Meta’s recent release of Llama 3.1 has stirred excitement in the AI community, offering an array of remarkable applications. This groundbreaking model, particularly the 405B variant, stands out for its superior performance and open-source accessibility, outpacing even top-tier closed models. Here are ten wild… Read More »Ten Wild Examples of Llama 3.1 Use Cases Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Representational similarity measures are essential tools in machine learning, used to compare internal representations of neural networks. These measures help researchers understand learning dynamics, model behaviors, and performance by providing insights into how different neural network layers and architectures process information. Quantifying the similarity… Read More »ReSi Benchmark: A Comprehensive Evaluation Framework for Neural Network Representational Similarity Across Diverse Domains and Architectures Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancement of Large Language Models (LLMs) has significantly improved conversational systems, generating natural and high-quality responses. However, despite these advancements, recent studies have identified several limitations in using LLMs for conversational tasks. These limitations include the need for up-to-date knowledge, generation of… Read More »RAGate: Enhancing Conversational AI with Adaptive Knowledge Retrieval Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Alex Garcia announced the much-anticipated release of sqlite-vec v0.1.0. This new SQLite extension, written entirely in C, introduces a powerful vector search capability to the SQLite database system. Released under the MIT/Apache-2.0 dual license, sqlite-vec aims to be a versatile and accessible tool for… Read More »sqlite-vec v0.1.0 Released: Portable Vector Database Extension for SQLite with Support for 1 Million 128-Dimensional Vectors, Binary Quantization, and Extensive SDKs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the quickly developing fields of Natural Language Processing (NLP) and Artificial Intelligence (AI), the ability to translate human words into an understandable machine format is crucial. In a recent research, a team of researchers introduced Parseltongue, an open-source browser extension notable for its… Read More »Parseltongue: An Open-Source Browser Extension Designed for Advanced Text Manipulation and Visualization Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Integrating advanced language models into writing and editing workflows has become increasingly important in various fields. Large language models (LLMs) such as ChatGPT and Gemini transform how individuals generate text, edit documents, and retrieve information. These models enable users to improve productivity and creativity… Read More »LLM-for-X: Transforming Efficiency and Integration of Large Language Models Across Diverse Applications with Seamless Workflow Enhancements Sana Hassan Artificial Intelligence Category – MarkTechPost