​[[{“value”:” In the rapidly developing field of Artificial Intelligence, it is more important than ever to convert unstructured data into organized, useful information efficiently. Recently, a team of researchers introduced the Neo4j LLM Knowledge Graph Builder, an AI tool that can easily address this issue.… Read More »The Neo4j LLM Knowledge Graph Builder: An AI Tool that Creates Knowledge Graphs from Unstructured Data Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) like GPT-3.5 and GPT-4 are advanced artificial intelligence systems capable of generating human-like text. These models are trained on vast amounts of data to perform various tasks, from answering questions to writing essays. The primary challenge in the field is… Read More »Reinforcing Robust Refusal Training in LLMs: A Past Tense Reformulation Attack and Potential Defenses Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling the creation of language agents capable of autonomously solving complex tasks. However, the development of these agents faces significant challenges. The current approach involves manually decomposing tasks into LLM pipelines, with prompts… Read More »Agent Symbolic Learning: An Artificial Intelligence AI Framework for Agent Learning that Jointly Optimizes All Symbolic Components within an Agent System Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Optimal transport is a mathematical discipline focused on determining the most efficient way to move mass between probability distributions. This field has wide-ranging applications in economics, where it is used to model resource allocation; in physics, to simulate particle dynamics; and in machine learning,… Read More »This AI Paper from NYU and Meta Introduces Neural Optimal Transport with Lagrangian Costs: Efficient Modeling of Complex Transport Dynamics Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Together AI has unveiled a groundbreaking advancement in AI inference with its new inference stack. This stack, which boasts a decoding throughput four times faster than the open-source vLLM, surpasses leading commercial solutions like Amazon Bedrock, Azure AI, Fireworks, and Octo AI by 1.3x… Read More »Together AI Unveils Revolutionary Inference Stack: Setting New Standards in Generative AI Performance Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Conversational AI systems like ChatGPT have gained considerable attention among the various AI advancements. These systems utilize advanced machine learning algorithms and natural language processing to assist users in numerous tasks, such as drafting emails, conducting research, and providing detailed information. The proliferation of… Read More »Exploring the Impact of ChatGPT’s AI Capabilities and Human-like Traits on Enhancing Knowledge and User Satisfaction in Workplace Environments Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Instruction-tuned LLMs can handle various tasks using natural language instructions, but their performance is sensitive to how instructions are phrased. This issue is critical in healthcare, where clinicians, who may need to be more skilled, prompt engineers, need reliable outputs. The robustness of LLMs… Read More »Evaluating the Robustness and Fairness of Instruction-Tuned LLMs in Clinical Tasks: Implications for Performance Variability and Demographic Fairness Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Traditional methods, relying solely on formal proof data, overlook valuable informal reasoning processes crucial to human mathematicians. The absence of natural language thought processes in formal proofs creates a significant gap between human reasoning and machine-driven proofs. Existing language models specialized for generating tactics… Read More »How can Informal Reasoning Improve Formal Theorem Proving? This AI Paper Introduces an AI Framework for Learning to Interleave Informal Thoughts with Steps of Formal Proving Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recently, diffusion models have become powerful tools in various fields, like image and 3D object generation. Their success comes from their ability to handle denoising tasks with different types of noise, efficiently turning random noise into the target data distribution through repeated denoising steps.… Read More »DiT-MoE: A New Version of the DiT Architecture for Image Generation Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) demonstrate proficiency in information retrieval and creative writing, with notable improvements in mathematics and coding. ZebraLogic, a benchmark consisting of Logic Grid Puzzles, assesses LLMs’ logical reasoning capabilities. Each puzzle presents N houses with M features, requiring unique value assignments… Read More »ZebraLogic: A Logical Reasoning AI Benchmark Designed for Evaluating LLMs with Logic Puzzles Mohammad Asjad Artificial Intelligence Category – MarkTechPost