- Thu. Nov 28th, 2024
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Exploring the Influence of AI-Based Recommenders on Human Behavior: Methodologies, Outcomes, and Future Research Directions
Given their ubiquitous presence across various online platforms, the influence of AI-based recommenders on human behavior has become an important field of study. The survey by researchers from the Institute…
Meta 3D Gen: A state-of-the-art Text-to-3D Asset Generation Pipeline with Speed, Precision, and Superior Quality for Immersive Applications
Text-to-3D generation is an innovative field that creates three-dimensional content from textual descriptions. This technology is crucial in various industries, such as video games, augmented reality (AR), and virtual reality…
A Comprehensive Guide to Fine-Tuning ChatGPT for Your Business
Businesses continually seek ways to leverage AI to enhance their operations. One of the most impactful applications of AI is conversational agents, with OpenAI’s ChatGPT standing out as a leading…
This AI Paper from NYU and Meta AI Introduces LIFT: Length-Instruction Fine-Tuning for Enhanced Control and Quality in Instruction-Following LLMs
Artificial intelligence (AI) has significantly advanced with the development of large language models (LLMs) that follow user instructions. These models aim to provide accurate and relevant responses to human queries,…
Safeguarding Healthcare AI: Exposing and Addressing LLM Manipulation Risks
Large Language Models (LLMs) like ChatGPT and GPT-4 have made significant strides in AI research, outperforming previous state-of-the-art methods across various benchmarks. These models show great potential in healthcare, offering…
DeepSeek AI Researchers Propose Expert-Specialized Fine-Tuning, or ESFT to Reduce Memory by up to 90% and Time by up to 30%
Natural language processing is advancing rapidly, focusing on optimizing large language models (LLMs) for specific tasks. These models, often containing billions of parameters, pose a significant challenge in customization. The…
Arcee AI Introduces Arcee Agent: A Cutting-Edge 7B Parameter Language Model Specifically Designed for Function Calling and Tool Use
Arcee AI has recently released its latest innovation, the Arcee Agent, a state-of-the-art 7 billion parameter language model. This model is designed for function calling and tool usage, providing developers,…
Salesforce AI Research Introduces SummHay: A Robust AI Benchmark for Evaluating Long-Context Summarization in LLMs and RAG Systems
Natural language processing (NLP) in artificial intelligence focuses on enabling machines to understand and generate human language. This field encompasses a variety of tasks, including language translation, sentiment analysis, and…
Enhancing Language Models with RAG: Best Practices and Benchmarks
Retrieval-Augmented Generation (RAG) techniques face significant challenges in integrating up-to-date information, reducing hallucinations, and improving response quality in large language models (LLMs). Despite their effectiveness, RAG approaches are hindered by…
Researchers at Princeton University Reveal Hidden Costs of State-of-the-Art AI Agents
There has been a lot of development in AI agents recently. However, one single goal—accuracy—has dominated evaluation and is vital to agent development. According to a recent study out of…