​[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as machine translation and question-answering. However, a significant challenge remains in understanding the theoretical underpinnings of their performance. Specifically, there is a lack of a… Read More »This Machine Learning Unveils How Large Language Models LLMs Operate as Markov Chains to Unlock Their Hidden Potential Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” “If you want to go fast, go alone. If you want to go far, go together”: This African proverb aptly describes how multi-agent systems outperform regular individual LLMs in various reasoning, creativity, and aptitude tasks. Multi-agent(MA) systems harness the collective intelligence of multiple instances… Read More »Agent Prune: A Robust and Economic Multi-Agent Communication Framework for LLMs that Saves Cost and Removes Redundant and Malicious Contents Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text retrieval in machine learning faces significant challenges in developing effective methods for indexing and retrieving documents. Traditional approaches relied on sparse lexical matching methods like BM25, which used n-gram frequencies. However, these statistical models have limitations in capturing semantic relationships and context. The… Read More »Enhancing Text Retrieval: Overcoming the Limitations with Contextual Document Embeddings Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The 2024 Nobel Prize in Physics has been awarded to two pioneering figures in the field of artificial intelligence: John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto. They were recognized for their groundbreaking work in developing foundational… Read More »Machine Learning Meets Physics: The 2024 Nobel Prize Story Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the ever-evolving world of large language models (LLMs), pre-training datasets form the backbone of how AI systems comprehend and generate human-like text. LLM360 has recently unveiled TxT360, a groundbreaking pre-training dataset comprising 15 trillion tokens. This release combines diversity, scale, and rigorous data… Read More »LLM360 Group Introduces TxT360: A Top-Quality LLM Pre-Training Dataset with 15T Tokens Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The advent of artificial intelligence has catalyzed numerous sophisticated applications, and Podcastfy AI stands out as an advanced solution within the domain of audio content generation. Developed as an open-source Python package, Podcastfy enables the transformation of web content, PDFs, and plain text into… Read More »Podcastfy AI: An Open-Source Python Package that Transforms Web Content, PDFs, and Text into Engaging, Multi-Lingual Audio Conversations Using GenAI Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hierarchical Imitation Learning (HIL) addresses long-horizon decision-making by breaking tasks into sub-goals, but it faces challenges like limited supervisory labels and the need for extensive expert demonstrations. LLMs, such as GPT-4, offer promising improvements due to their semantic understanding, reasoning, and ability to interpret… Read More »SEAL: A Dual-Encoder Framework Enhancing Hierarchical Imitation Learning with LLM-Guided Sub-Goal Representations Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving world of artificial intelligence, large language models (LLMs) have become essential tools for a variety of applications, ranging from natural language understanding to content generation. While the capabilities of these models continue to expand, efficiently serving and deploying them remains… Read More »Hex-LLM: A New LLM Serving Framework Designed for Efficiently Serving Open LLMs on Google Cloud TPUs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” New developments in Large Language Models (LLMs) have shown how well these models perform sophisticated reasoning tasks like coding, language comprehension, and math problem-solving. However, there is less information about how effectively these models work in terms of planning, especially in situations where a… Read More »Evaluating the Planning Capabilities of Large Language Models: Feasibility, Optimality, and Generalizability in OpenAI’s o1 Model Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​Contrastive Language-Image Pre-training (CLIP) has been a celebrated method for training vision encoders to generate image/text representations facilitating various applications. Recently, CLIP has been widely adopted as the vision backbone of multimodal large language models (MLLMs) to connect image inputs for language interactions. The success… Read More »Contrastive Localized Language-Image Pre-Training Apple Machine Learning Research